SIMULINK. Linear and non-linear. Systems

Size: px
Start display at page:

Download "SIMULINK. Linear and non-linear. Systems"

Transcription

1 SIMULINK Linear and non-linear Systems Dipl.-Ing. U. Wohlfarth

2 SIMULINK Library Continuous Elements for modelling continuous-time systems Delays 1 s Integrator x = Ax+Bu y = Cx+Du (s 1) s(s+1) Zero Pole Transport Delay du/dt State Space 1 Memory Derivative s+1 Transfer Fcn Variable Transport Delay Dipl.-Ing. U. Wohlfarth 1

3 From ODE to Continuous Block Example: spring pendulum ODE: m ẍ(t) + k x(t) = 0 Solution in time domain: x(t) = x 0 cos (ω 0 t) + v 0 ω 0 sin (ω 0 t) L 0 k Transform to frequency domain: Transform function X(s) = 1 s 2 + ω 2 0 x m in SIMULINK: 0 Constant 1 s 2+2 Transfer Fcn (with initial outputs) Scope1 Dipl.-Ing. U. Wohlfarth 2

4 Examples for Continuous Resetting of Simulink Integrator Block: 0.5 Constant 1 s x o Integrator 2 >= Relational Operator Scope Anfangswert Constant1 Dipl.-Ing. U. Wohlfarth 3

5 Linearisation Linearisation of simulation models at arbitrary operating point Command: [A,B,C,D] = linmod( sys,x,u,para,xpert,upert) [Ad,Bd,Cd,Dd] = dlinmod( sys,t s,x,u) Further Matlab Commands from Control System Toolbox for analysing (ss, tf, zpk, bode, lsim) Dipl.-Ing. U. Wohlfarth 4

6 Find a point of equilibrium A trim point (point of equilibrium) corresponds to the steady state of a dynamic system ẋ = 0 Command: [x,u,y] = trim( sys, x0, u0, y0) further options help trim Dipl.-Ing. U. Wohlfarth 5

7 SIMULINK Library Nonlinear Elements for modelling of physical non-linearities Switches Manual Switch Rate Limiter Quantizer Dead Zone Saturation Backlash Relay Coulomb & Viscous Friction Switch Multiport Switch Dipl.-Ing. U. Wohlfarth 6

8 Example for Nonlinear Example for Quantizer Clock f(u) (u(1) 5)^2 + 3 Quantizer Parabel quantisierte Parabel ausgabe To Workspace Example for Backlash Signal Generator 1 Constant u y Rate LimiterBacklash ausgabe To Workspace Dipl.-Ing. U. Wohlfarth 7

9 SIMULINK Library Functions & Tables Tables Programmable functions Look Up Table Look Up Table (2 D) f(u) Fcn MATLAB Function MATLAB Fcn system S Function etc. Dipl.-Ing. U. Wohlfarth 8

10 Examples for Function & Tables Examples for Look Up Table auslese Ramp Look Up Table To Workspace Dipl.-Ing. U. Wohlfarth 9

11 Algebraic loops direct f eedthrough: Output port of a block drives input port of the same block, i.e. input depends on output at the same time u Sum y Blocks with direct f eedthrough: Sum, Gain, Product (State Space, Integrator, Transfer Function, Zero Pole) Solution with Algebraic Constraint: f(z) Solve f(z) = 0 Algebraic Constraint z Dipl.-Ing. U. Wohlfarth 10

12 Example for algebraic loops f(z) = 1 7 z sin z z 5 = 0 (1/7)* u^3 Fcn (1/28)* sin(u) Fcn1 f(z) Solve f(z) = 0 z z Algebraic Constraint Display Constant z Sum Dipl.-Ing. U. Wohlfarth 11

13 S Functions Self-programmable functions Use S Function Block in SIMULINK Model programmable in Matlab (M Files) C, C ++, Fortran, Ada (MEX Files) Integration of earlier written programmes Dipl.-Ing. U. Wohlfarth 12

14 Example for S Functions P T 1 : Transfer function: Y (s) = st U(s) or state space: ẋ = 1 T x + 1 T u y = x Step pt1sfun S Function y To Workspace Dipl.-Ing. U. Wohlfarth 13

15 Example for S Functions function [sys,x0,str,ts] = pt1sfun(t,x,u,flag,t) A = [-1/T]; % State matrix % Unexpected flags % B = [ 1/T]; % Input matrix otherwise % error handling C = [ 1 ]; % Output matrix error([ Unhandled flag =,num2str(flag)]); D = [ 0 ]; % Feedthrough matrix=0 end switch flag, % end pt1sfun % Initialization % case 0, %===================== [sys,x0,str,ts]=mdlinitializesizes(a,b,c,d); % mdlinitializesizes %===================== % Derivatives % % case 1, function [sys,x0,str,ts]=... sys=mdlderivatives(t,x,u,a,b,c,d); mdlinitializesizes(a,b,c,d) % Outputs % sizes = simsizes; case 3, sys=mdloutputs(t,x,u,a,b,c,d); sizes.numcontstates = size(a,1); sizes.numdiscstates = 0; % not used flags sizes.numoutputs = size(c,1); case {2, 4, 9}, sys=[]; sizes.numinputs = size(b,1); Dipl.-Ing. U. Wohlfarth 14

16 Example for S Functions sizes.dirfeedthrough = 0; sizes.numsampletimes = 1; sys = simsizes(sizes); %==================== % mdloutputs %==================== x0 = zeros(size(a,1),1); % function sys=mdloutputs(t,x,u,a,b,c,d) str = []; sys = C*x + D*u; ts = [0 0]; % end mdlinitializesizes % end mdloutputs %=================== % mdlderivatives %=================== % function sys=mdlderivatives(t,x,u,a,b,c,d) sys = A*x + B*u; % end mdlderivatives Dipl.-Ing. U. Wohlfarth 15

An Introduction to Using Simulink

An Introduction to Using Simulink An Introduction to Using Simulink Eric Peasley, Department of Engineering Science, University of Oxford version 4.0, 2013 An Introduction To Using Simulink. Eric Peasley, Department of Engineering Science,

More information

MATLAB/Simulink TCP/IP Communication

MATLAB/Simulink TCP/IP Communication MATLAB/Simulink TCP/IP Communication MARTIN SYSEL Department of Computer and Communication Systems Faculty of Applied Informatics Tomas Bata University in Zlín nám. T. G. Masaryka 5555, 760 01 Zlín CZECH

More information

Module 2 Introduction to SIMULINK

Module 2 Introduction to SIMULINK Module 2 Introduction to SIMULINK Although the standard MATLAB package is useful for linear systems analysis, SIMULINK is far more useful for control system simulation. SIMULINK enables the rapid construction

More information

Lecture 1: Introduction to Dynamical Systems

Lecture 1: Introduction to Dynamical Systems Lecture 1: Introduction to Dynamical Systems General introduction Modeling by differential equations (inputs, states, outputs) Simulation of dynamical systems Equilibria and linearization System interconnections

More information

Controller Design in Frequency Domain

Controller Design in Frequency Domain ECSE 4440 Control System Engineering Fall 2001 Project 3 Controller Design in Frequency Domain TA 1. Abstract 2. Introduction 3. Controller design in Frequency domain 4. Experiment 5. Colclusion 1. Abstract

More information

Matlab and Simulink. Matlab and Simulink for Control

Matlab and Simulink. Matlab and Simulink for Control Matlab and Simulink for Control Automatica I (Laboratorio) 1/78 Matlab and Simulink CACSD 2/78 Matlab and Simulink for Control Matlab introduction Simulink introduction Control Issues Recall Matlab design

More information

Introduction to Simulink

Introduction to Simulink Introduction to Simulink MEEN 364 Simulink is a software package for modeling, simulating, and analyzing dynamical systems. It supports linear and nonlinear systems, modeled in continuous time, sampled

More information

Manufacturing Equipment Modeling

Manufacturing Equipment Modeling QUESTION 1 For a linear axis actuated by an electric motor complete the following: a. Derive a differential equation for the linear axis velocity assuming viscous friction acts on the DC motor shaft, leadscrew,

More information

EDUMECH Mechatronic Instructional Systems. Ball on Beam System

EDUMECH Mechatronic Instructional Systems. Ball on Beam System EDUMECH Mechatronic Instructional Systems Ball on Beam System Product of Shandor Motion Systems Written by Robert Hirsch Ph.D. 998-9 All Rights Reserved. 999 Shandor Motion Systems, Ball on Beam Instructional

More information

EE 402 RECITATION #13 REPORT

EE 402 RECITATION #13 REPORT MIDDLE EAST TECHNICAL UNIVERSITY EE 402 RECITATION #13 REPORT LEAD-LAG COMPENSATOR DESIGN F. Kağan İPEK Utku KIRAN Ç. Berkan Şahin 5/16/2013 Contents INTRODUCTION... 3 MODELLING... 3 OBTAINING PTF of OPEN

More information

6. European SystemC Users Group Meeting

6. European SystemC Users Group Meeting 6. European SystemC Users Group Meeting Modelling Cycle-Accurate Hardware with Matlab/Simulink using SystemC Frank Czerner, TechnoTeam Bildverarbeitung GmbH Ilmenau Jens Zellmann, Institute of Microelectronic

More information

Nonlinear Systems and Control Lecture # 15 Positive Real Transfer Functions & Connection with Lyapunov Stability. p. 1/?

Nonlinear Systems and Control Lecture # 15 Positive Real Transfer Functions & Connection with Lyapunov Stability. p. 1/? Nonlinear Systems and Control Lecture # 15 Positive Real Transfer Functions & Connection with Lyapunov Stability p. 1/? p. 2/? Definition: A p p proper rational transfer function matrix G(s) is positive

More information

Scicos is a Scilab toolbox included in the Scilab package. The Scicos editor can be opened by the scicos command

Scicos is a Scilab toolbox included in the Scilab package. The Scicos editor can be opened by the scicos command 7 Getting Started 7.1 Construction of a Simple Diagram Scicos contains a graphical editor that can be used to construct block diagram models of dynamical systems. The blocks can come from various palettes

More information

THE EDUCATIONAL IMPACT OF A GANTRY CRANE PROJECT IN AN UNDERGRADUATE CONTROLS CLASS

THE EDUCATIONAL IMPACT OF A GANTRY CRANE PROJECT IN AN UNDERGRADUATE CONTROLS CLASS Proceedings of IMECE: International Mechanical Engineering Congress and Exposition Nov. 7-22, 2002, New Orleans, LA. THE EDUCATIONAL IMPACT OF A GANTRY CRANE PROJECT IN AN UNDERGRADUATE CONTROLS CLASS

More information

MATLAB Control System Toolbox Root Locus Design GUI

MATLAB Control System Toolbox Root Locus Design GUI MATLAB Control System Toolbox Root Locus Design GUI MATLAB Control System Toolbox contains two Root Locus design GUI, sisotool and rltool. These are two interactive design tools for the analysis and design

More information

DCMS DC MOTOR SYSTEM User Manual

DCMS DC MOTOR SYSTEM User Manual DCMS DC MOTOR SYSTEM User Manual release 1.3 March 3, 2011 Disclaimer The developers of the DC Motor System (hardware and software) have used their best efforts in the development. The developers make

More information

CPW Current Programmed Winder. Application Handbook. Copyright 2002 by Eurotherm Drives, Inc.

CPW Current Programmed Winder. Application Handbook. Copyright 2002 by Eurotherm Drives, Inc. CPW Current Programmed Winder Application Handbook Copyright 2002 by Eurotherm Drives, Inc. All rights strictly reserved. No part of this document may be stored in a retrieval system, or transmitted, in

More information

Department of Chemical Engineering ChE-101: Approaches to Chemical Engineering Problem Solving MATLAB Tutorial VI

Department of Chemical Engineering ChE-101: Approaches to Chemical Engineering Problem Solving MATLAB Tutorial VI Department of Chemical Engineering ChE-101: Approaches to Chemical Engineering Problem Solving MATLAB Tutorial VI Solving a System of Linear Algebraic Equations (last updated 5/19/05 by GGB) Objectives:

More information

San José State University Department of Electrical Engineering EE 112, Linear Systems, Spring 2010

San José State University Department of Electrical Engineering EE 112, Linear Systems, Spring 2010 San José State University Department of Electrical Engineering EE 112, Linear Systems, Spring 2010 Instructor: Robert H. Morelos-Zaragoza Office Location: ENGR 373 Telephone: (408) 924-3879 Email: robert.morelos-zaragoza@sjsu.edu

More information

SECTION 5 Examples of Function Block Combinations

SECTION 5 Examples of Function Block Combinations SECTION 5 Examples of Function Block Combinations 5-1 BASIC EXAMPLES OF CONTROL... 152 5-1-1 Simple Control... 152 5-1-2 Multi-channel Control... 153 5-1-3 Control for Switching Multiple Set Points...

More information

Control System Definition

Control System Definition Control System Definition A control system consist of subsytems and processes (or plants) assembled for the purpose of controlling the outputs of the process. For example, a furnace produces heat as a

More information

dspace DSP DS-1104 based State Observer Design for Position Control of DC Servo Motor

dspace DSP DS-1104 based State Observer Design for Position Control of DC Servo Motor dspace DSP DS-1104 based State Observer Design for Position Control of DC Servo Motor Jaswandi Sawant, Divyesh Ginoya Department of Instrumentation and control, College of Engineering, Pune. ABSTRACT This

More information

Modeling. Simulation. Implementation. Writing S-Functions. Version 4

Modeling. Simulation. Implementation. Writing S-Functions. Version 4 Modeling Simulation Implementation Writing S-Functions Version 4 How to Contact The MathWorks: 508-647-7000 Phone 508-647-7001 Fax The MathWorks, Inc. 3AppleHillDrive Natick, MA 01760-2098 http://www.mathworks.com

More information

DAQ in MATLAB HANS-PETTER HALVORSEN, 2012.09.11

DAQ in MATLAB HANS-PETTER HALVORSEN, 2012.09.11 Telemark University College Department of Electrical Engineering, Information Technology and Cybernetics DAQ in MATLAB HANS-PETTER HALVORSEN, 2012.09.11 Faculty of Technology, Postboks 203, Kjølnes ring

More information

POTENTIAL OF STATE-FEEDBACK CONTROL FOR MACHINE TOOLS DRIVES

POTENTIAL OF STATE-FEEDBACK CONTROL FOR MACHINE TOOLS DRIVES POTENTIAL OF STATE-FEEDBACK CONTROL FOR MACHINE TOOLS DRIVES L. Novotny 1, P. Strakos 1, J. Vesely 1, A. Dietmair 2 1 Research Center of Manufacturing Technology, CTU in Prague, Czech Republic 2 SW, Universität

More information

Feasibility of a Software Process Modeling Library based on MATLAB / Simulink

Feasibility of a Software Process Modeling Library based on MATLAB / Simulink Feasibility of a Software Process Modeling Library based on MATLAB / Simulink T. Birkhoelzer University of Applied Sciences Konstanz, Braunegger Str. 55, 7846 Konstanz, Germany, birkhoelzer@fh-kontanz.de

More information

Command-induced Tracking Jitter Study I D. Clark November 24, 2009

Command-induced Tracking Jitter Study I D. Clark November 24, 2009 Command-induced Tracking Jitter Study I D. Clark November 24, 2009 Introduction Reports of excessive tracking jitter on the MMT elevation axis have lately been theorized to be caused by the input command

More information

Figure 1. The Ball and Beam System.

Figure 1. The Ball and Beam System. BALL AND BEAM : Basics Peter Wellstead: control systems principles.co.uk ABSTRACT: This is one of a series of white papers on systems modelling, analysis and control, prepared by Control Systems Principles.co.uk

More information

Using MATLAB in a Graduate Electrical Engineering Optimal Control Course

Using MATLAB in a Graduate Electrical Engineering Optimal Control Course Using MATLAB in a Graduate Electrical Engineering Optimal Control Course Asad Azemi Department of Electrical Engineering Penn State University Great Valley Campus Malvern, PA 19355-1443 Abstract - Control

More information

u = [ 2 4 5] has one row with three components (a 3 v = [2 4 5] has three rows separated by semicolons (a 3 w = 2:5 generates the row vector w = [ 2 3

u = [ 2 4 5] has one row with three components (a 3 v = [2 4 5] has three rows separated by semicolons (a 3 w = 2:5 generates the row vector w = [ 2 3 MATLAB Tutorial You need a small numb e r of basic commands to start using MATLAB. This short tutorial describes those fundamental commands. You need to create vectors and matrices, to change them, and

More information

Scientific Programming

Scientific Programming 1 The wave equation Scientific Programming Wave Equation The wave equation describes how waves propagate: light waves, sound waves, oscillating strings, wave in a pond,... Suppose that the function h(x,t)

More information

ECE 516: System Control Engineering

ECE 516: System Control Engineering ECE 516: System Control Engineering This course focuses on the analysis and design of systems control. This course will introduce time-domain systems dynamic control fundamentals and their design issues

More information

Controller Design using the Maple Professional Math Toolbox for LabVIEW

Controller Design using the Maple Professional Math Toolbox for LabVIEW Controller Design using the Maple Professional Math Toolbox for LabVIEW This application demonstrates how you can use the Maple Professional Math Toolbox for LabVIEW to design and tune a Proportional-Integral-Derivative

More information

Wireless Communication and RF System Design Using MATLAB and Simulink Giorgia Zucchelli Technical Marketing RF & Mixed-Signal

Wireless Communication and RF System Design Using MATLAB and Simulink Giorgia Zucchelli Technical Marketing RF & Mixed-Signal Wireless Communication and RF System Design Using MATLAB and Simulink Giorgia Zucchelli Technical Marketing RF & Mixed-Signal 2013 The MathWorks, Inc. 1 Outline of Today s Presentation Introduction to

More information

Dynamic Process Modeling. Process Dynamics and Control

Dynamic Process Modeling. Process Dynamics and Control Dynamic Process Modeling Process Dynamics and Control 1 Description of process dynamics Classes of models What do we need for control? Modeling for control Mechanical Systems Modeling Electrical circuits

More information

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors Chapter 6 Eigenvalues and Eigenvectors 6. Introduction to Eigenvalues Linear equations Ax D b come from steady state problems. Eigenvalues have their greatest importance in dynamic problems. The solution

More information

A Design of a PID Self-Tuning Controller Using LabVIEW

A Design of a PID Self-Tuning Controller Using LabVIEW Journal of Software Engineering and Applications, 2011, 4, 161-171 doi:10.4236/jsea.2011.43018 Published Online March 2011 (http://www.scirp.org/journal/jsea) 161 A Design of a PID Self-Tuning Controller

More information

Lezione 6 Communications Blockset

Lezione 6 Communications Blockset Corso di Tecniche CAD per le Telecomunicazioni A.A. 2007-2008 Lezione 6 Communications Blockset Ing. Marco GALEAZZI 1 What Is Communications Blockset? Communications Blockset extends Simulink with a comprehensive

More information

C Programming Structure of a C18 Program

C Programming Structure of a C18 Program What does this document covers? This document attempts to explain the basic structure of a C18 program. It is followed by some simple examples. A very simple C18 program is shown below: Example 1 What

More information

Lecture 7: Finding Lyapunov Functions 1

Lecture 7: Finding Lyapunov Functions 1 Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.243j (Fall 2003): DYNAMICS OF NONLINEAR SYSTEMS by A. Megretski Lecture 7: Finding Lyapunov Functions 1

More information

Design of a TL431-Based Controller for a Flyback Converter

Design of a TL431-Based Controller for a Flyback Converter Design of a TL431-Based Controller for a Flyback Converter Dr. John Schönberger Plexim GmbH Technoparkstrasse 1 8005 Zürich 1 Introduction The TL431 is a reference voltage source that is commonly used

More information

G(s) = Y (s)/u(s) In this representation, the output is always the Transfer function times the input. Y (s) = G(s)U(s).

G(s) = Y (s)/u(s) In this representation, the output is always the Transfer function times the input. Y (s) = G(s)U(s). Transfer Functions The transfer function of a linear system is the ratio of the Laplace Transform of the output to the Laplace Transform of the input, i.e., Y (s)/u(s). Denoting this ratio by G(s), i.e.,

More information

OPC COMMUNICATION IN REAL TIME

OPC COMMUNICATION IN REAL TIME OPC COMMUNICATION IN REAL TIME M. Mrosko, L. Mrafko Slovak University of Technology, Faculty of Electrical Engineering and Information Technology Ilkovičova 3, 812 19 Bratislava, Slovak Republic Abstract

More information

Create Colorful and Bright LED Light with an LED Matrix Dimmer

Create Colorful and Bright LED Light with an LED Matrix Dimmer Create Colorful and Bright LED Light with an LED Matrix Dimmer By Keith Szolusha, Applications Engineering Section Leader, Power Products, Linear Technology RGB LEDs are used in projector, architectural,

More information

PART B QUESTIONS AND ANSWERS UNIT I

PART B QUESTIONS AND ANSWERS UNIT I PART B QUESTIONS AND ANSWERS UNIT I 1. Explain the architecture of 8085 microprocessor? Logic pin out of 8085 microprocessor Address bus: unidirectional bus, used as high order bus Data bus: bi-directional

More information

LS.6 Solution Matrices

LS.6 Solution Matrices LS.6 Solution Matrices In the literature, solutions to linear systems often are expressed using square matrices rather than vectors. You need to get used to the terminology. As before, we state the definitions

More information

CO-SIMULATION OF CHI AND SIMULINK MODELS

CO-SIMULATION OF CHI AND SIMULINK MODELS CO-SIMULATION OF CHI AND SIMULINK MODELS D.A. van Beek 1, A.T. Hofkamp 1, M.A. Reniers 2, J.E. Rooda 1, and R.R.H. Schiffelers 1 1 Eindhoven University of Technology, Department of Mechanical Engineering

More information

RLC Circuit Response and Analysis (Using State Space Method)

RLC Circuit Response and Analysis (Using State Space Method) 48 RLC Circuit Response and Analysis (Using State Space Method) Mohazzab 1 JAVED, Hussain 1 AFTAB, Muhammad 1 QASIM, Mohsin 1 SATTAR 1 Engineering Department, PAF-KIET, Karachi, Sindh, Pakistan Abstract--

More information

1 2 3 1 1 2 x = + x 2 + x 4 1 0 1

1 2 3 1 1 2 x = + x 2 + x 4 1 0 1 (d) If the vector b is the sum of the four columns of A, write down the complete solution to Ax = b. 1 2 3 1 1 2 x = + x 2 + x 4 1 0 0 1 0 1 2. (11 points) This problem finds the curve y = C + D 2 t which

More information

INTRODUCTION (Syllabus, Numerical Methods & Computational Tools)

INTRODUCTION (Syllabus, Numerical Methods & Computational Tools) INTRODUCTION (Syllabus, Numerical Methods & Computational Tools) A. J. Clark School of Engineering Department of Civil and Environmental Engineering by Dr. Ibrahim A. Assakkaf Spring 2001 ENCE 203 - Computation

More information

054414 PROCESS CONTROL SYSTEM DESIGN. 054414 Process Control System Design LECTURE 2: FREQUENCY DOMAIN ANALYSIS

054414 PROCESS CONTROL SYSTEM DESIGN. 054414 Process Control System Design LECTURE 2: FREQUENCY DOMAIN ANALYSIS 05444 PROCESS CONTROL SYSTEM DESIGN 05444 Process Control System Design LECTURE : FREQUENCY DOMAIN ANALYSIS Daniel R. Lewin Department of Chemical Engineering Technion, Haifa, Israel - Objectives On completing

More information

Parallel Computing using MATLAB Distributed Compute Server ZORRO HPC

Parallel Computing using MATLAB Distributed Compute Server ZORRO HPC Parallel Computing using MATLAB Distributed Compute Server ZORRO HPC Goals of the session Overview of parallel MATLAB Why parallel MATLAB? Multiprocessing in MATLAB Parallel MATLAB using the Parallel Computing

More information

2.6. In-Laboratory Session. 2.6.1. QICii Modelling Module. Modelling. 2.6.1.1. Module Description

2.6. In-Laboratory Session. 2.6.1. QICii Modelling Module. Modelling. 2.6.1.1. Module Description 2.6. In-Laboratory Session 2.6.1. QICii Modelling Module 2.6.1.1. Module Description The main tool for this lab is the front panel of the module entitled Modelling in the QICii software, which should be

More information

10.450 Process Dynamics, Operations, and Control Lecture Notes - 11 Lesson 11. Frequency response of dynamic systems.

10.450 Process Dynamics, Operations, and Control Lecture Notes - 11 Lesson 11. Frequency response of dynamic systems. Lesson. Frequency response of dynamic systems..0 Context We have worked with step, pulse, and sine disturbances. Of course, there are many sine disturbances, because the applied frequency may vary. Surely

More information

Digital Guitar Effects Pedal

Digital Guitar Effects Pedal Digital Guitar Effects Pedal 01001000100000110000001000001100 010010001000 Jonathan Fong John Shefchik Advisor: Dr. Brian Nutter SPRP499 Texas Tech University jonathan.fong@ttu.edu Presentation Outline

More information

1 Topic. 2 Scilab. 2.1 What is Scilab?

1 Topic. 2 Scilab. 2.1 What is Scilab? 1 Topic Data Mining with Scilab. I know the name "Scilab" for a long time (http://www.scilab.org/en). For me, it is a tool for numerical analysis. It seemed not interesting in the context of the statistical

More information

The Effective Number of Bits (ENOB) of my R&S Digital Oscilloscope Technical Paper

The Effective Number of Bits (ENOB) of my R&S Digital Oscilloscope Technical Paper The Effective Number of Bits (ENOB) of my R&S Digital Oscilloscope Technical Paper Products: R&S RTO1012 R&S RTO1014 R&S RTO1022 R&S RTO1024 This technical paper provides an introduction to the signal

More information

Experimental Identification an Interactive Online Course

Experimental Identification an Interactive Online Course Proceedings of the 17th World Congress The International Federation of Automatic Control Experimental Identification an Interactive Online Course L. Čirka, M. Fikar, M. Kvasnica, and M. Herceg Institute

More information

MLD Model of Boiler-Turbine System Based on PWA Linearization Approach

MLD Model of Boiler-Turbine System Based on PWA Linearization Approach International Journal of Control Science and Engineering 2012, 2(4): 88-92 DOI: 10.5923/j.control.20120204.06 MLD Model of Boiler-Turbine System Based on PWA Linearization Approach M. Sarailoo *, B. Rezaie,

More information

Introduction to MATLAB Gergely Somlay Application Engineer gergely.somlay@gamax.hu

Introduction to MATLAB Gergely Somlay Application Engineer gergely.somlay@gamax.hu Introduction to MATLAB Gergely Somlay Application Engineer gergely.somlay@gamax.hu 2012 The MathWorks, Inc. 1 What is MATLAB? High-level language Interactive development environment Used for: Numerical

More information

Introduction to Engineering System Dynamics

Introduction to Engineering System Dynamics CHAPTER 0 Introduction to Engineering System Dynamics 0.1 INTRODUCTION The objective of an engineering analysis of a dynamic system is prediction of its behaviour or performance. Real dynamic systems are

More information

Ryan F. Schkoda, Ph.D. Postdoctoral Fellow Wind Turbine Drivetrain Testing Facility Charleston, SC

Ryan F. Schkoda, Ph.D. Postdoctoral Fellow Wind Turbine Drivetrain Testing Facility Charleston, SC Systems Engineering Activities at Clemson University s International Center for Automotive Research (CU-ICAR) and Wind Turbine Drivetrain Testing Facility Ryan F. Schkoda, Ph.D. Postdoctoral Fellow Wind

More information

CS1112 Spring 2014 Project 4. Objectives. 3 Pixelation for Identity Protection. due Thursday, 3/27, at 11pm

CS1112 Spring 2014 Project 4. Objectives. 3 Pixelation for Identity Protection. due Thursday, 3/27, at 11pm CS1112 Spring 2014 Project 4 due Thursday, 3/27, at 11pm You must work either on your own or with one partner. If you work with a partner you must first register as a group in CMS and then submit your

More information

2.161 Signal Processing: Continuous and Discrete Fall 2008

2.161 Signal Processing: Continuous and Discrete Fall 2008 MT OpenCourseWare http://ocw.mit.edu.6 Signal Processing: Continuous and Discrete Fall 00 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. MASSACHUSETTS

More information

(!' ) "' # "*# "!(!' +,

(!' ) ' # *# !(!' +, MATLAB is a numeric computation software for engineering and scientific calculations. The name MATLAB stands for MATRIX LABORATORY. MATLAB is primarily a tool for matrix computations. It was developed

More information

INSTRUCTOR WORKBOOK Quanser Robotics Package for Education for MATLAB /Simulink Users

INSTRUCTOR WORKBOOK Quanser Robotics Package for Education for MATLAB /Simulink Users INSTRUCTOR WORKBOOK for MATLAB /Simulink Users Developed by: Amir Haddadi, Ph.D., Quanser Peter Martin, M.A.SC., Quanser Quanser educational solutions are powered by: CAPTIVATE. MOTIVATE. GRADUATE. PREFACE

More information

Hybrid Modeling and Control of a Power Plant using State Flow Technique with Application

Hybrid Modeling and Control of a Power Plant using State Flow Technique with Application Hybrid Modeling and Control of a Power Plant using State Flow Technique with Application Marwa M. Abdulmoneim 1, Magdy A. S. Aboelela 2, Hassen T. Dorrah 3 1 Master Degree Student, Cairo University, Faculty

More information

Simulink Getting Started Guide

Simulink Getting Started Guide Simulink Getting Started Guide R05b How to Contact MathWorks Latest news: www.mathworks.com Sales and services: www.mathworks.com/sales_and_services User community: www.mathworks.com/matlabcentral Technical

More information

Scientific Programming in Python

Scientific Programming in Python UCSD March 9, 2009 What is Python? Python in a very high level (scripting) language which has gained widespread popularity in recent years. It is: What is Python? Python in a very high level (scripting)

More information

Using the Theory of Reals in. Analyzing Continuous and Hybrid Systems

Using the Theory of Reals in. Analyzing Continuous and Hybrid Systems Using the Theory of Reals in Analyzing Continuous and Hybrid Systems Ashish Tiwari Computer Science Laboratory (CSL) SRI International (SRI) Menlo Park, CA 94025 Email: ashish.tiwari@sri.com Ashish Tiwari

More information

Introduction to Simulink & Stateflow. Coorous Mohtadi

Introduction to Simulink & Stateflow. Coorous Mohtadi Introduction to Simulink & Stateflow Coorous Mohtadi 1 Key Message Simulink and Stateflow provide: A powerful environment for modelling real processes... and are fully integrated with the MATLAB environment.

More information

19 LINEAR QUADRATIC REGULATOR

19 LINEAR QUADRATIC REGULATOR 19 LINEAR QUADRATIC REGULATOR 19.1 Introduction The simple form of loopshaping in scalar systems does not extend directly to multivariable (MIMO) plants, which are characterized by transfer matrices instead

More information

E x p e r i m e n t 5 DC Motor Speed Control

E x p e r i m e n t 5 DC Motor Speed Control E x p e r i m e n t 5 DC Motor Speed Control IT IS PREFERED that students ANSWER THE QUESTION/S BEFORE DOING THE LAB BECAUSE THAT provides THE BACKGROUND information needed for THIS LAB. (0% of the grade

More information

Reactive Power Control of an Alternator with Static Excitation System Connected to a Network

Reactive Power Control of an Alternator with Static Excitation System Connected to a Network Reactive Power Control of an Alternator with Static Excitation System Connected to a Network Dr. Dhiya Ali Al-Nimma Assist. Prof. Mosul Unoversity Dr. Majid Salim Matti lecturer Mosul University Abstract

More information

ELECTRICAL ENGINEERING

ELECTRICAL ENGINEERING EE ELECTRICAL ENGINEERING See beginning of Section H for abbreviations, course numbers and coding. The * denotes labs which are held on alternate weeks. A minimum grade of C is required for all prerequisite

More information

HP StorageWorks MSL2024, MSL4048, and MSL8096 Tape Libraries Ultrium 3280 Fibre Channel tape drive firmware release notes

HP StorageWorks MSL2024, MSL4048, and MSL8096 Tape Libraries Ultrium 3280 Fibre Channel tape drive firmware release notes nl HP StorageWorks MSL2024, MSL4048, and MSL8096 Tape Libraries Ultrium 3280 Fibre Channel tape drive firmware release notes Version I3BW Part Number: AK378-96036 First edition: October 21, 2010 Description

More information

DSPDemo. By Moe Wheatley MoeTronix.

DSPDemo. By Moe Wheatley MoeTronix. DSPDemo By Moe Wheatley MoeTronix www.moetronix.com Sept. 10, 2004 Table of Contents 1 Introduction... 3 1.1 The Idea... 3 1.2 Hardware... 3 1.2.1 Block Diagram... 3 1.3 Software... 4 1.3.1 Basic Modules...

More information

SERVO CONTROL SYSTEMS 1: DC Servomechanisms

SERVO CONTROL SYSTEMS 1: DC Servomechanisms Servo Control Sstems : DC Servomechanisms SERVO CONTROL SYSTEMS : DC Servomechanisms Elke Laubwald: Visiting Consultant, control sstems principles.co.uk ABSTRACT: This is one of a series of white papers

More information

Power System review W I L L I A M V. T O R R E A P R I L 1 0, 2 0 1 3

Power System review W I L L I A M V. T O R R E A P R I L 1 0, 2 0 1 3 Power System review W I L L I A M V. T O R R E A P R I L 1 0, 2 0 1 3 Basics of Power systems Network topology Transmission and Distribution Load and Resource Balance Economic Dispatch Steady State System

More information

Complexity Analysis of Simulink Models to improve the Quality of Outsourcing in an Automotive Company. Jeevan Prabhu August 2010

Complexity Analysis of Simulink Models to improve the Quality of Outsourcing in an Automotive Company. Jeevan Prabhu August 2010 Complexity Analysis of Simulink Models to improve the Quality of Outsourcing in an Automotive Company Jeevan Prabhu August 2010 ABSTRACT Usage of software in automobiles is increasing rapidly and since

More information

6 Systems Represented by Differential and Difference Equations

6 Systems Represented by Differential and Difference Equations 6 Systems Represented by ifferential and ifference Equations An important class of linear, time-invariant systems consists of systems represented by linear constant-coefficient differential equations in

More information

NTE2053 Integrated Circuit 8 Bit MPU Compatible A/D Converter

NTE2053 Integrated Circuit 8 Bit MPU Compatible A/D Converter NTE2053 Integrated Circuit 8 Bit MPU Compatible A/D Converter Description: The NTE2053 is a CMOS 8 bit successive approximation Analog to Digital converter in a 20 Lead DIP type package which uses a differential

More information

ω h (t) = Ae t/τ. (3) + 1 = 0 τ =.

ω h (t) = Ae t/τ. (3) + 1 = 0 τ =. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering 2.004 Dynamics and Control II Fall 2007 Lecture 2 Solving the Equation of Motion Goals for today Modeling of the 2.004 La s rotational

More information

MODELING FIRST AND SECOND ORDER SYSTEMS IN SIMULINK

MODELING FIRST AND SECOND ORDER SYSTEMS IN SIMULINK MODELING FIRST AND SECOND ORDER SYSTEMS IN SIMULINK First and second order differential equations are commonly studied in Dynamic courses, as they occur frequently in practice. Because of this, we will

More information

LQG-Balanced Truncation Low-Order Controller for Stabilization of Laminar Flows

LQG-Balanced Truncation Low-Order Controller for Stabilization of Laminar Flows MAX PLANCK INSTITUTE May 20, 2015 LQG-Balanced Truncation Low-Order Controller for Stabilization of Laminar Flows Peter Benner and Jan Heiland Workshop Model Order Reduction for Transport Dominated Phenomena

More information

Chapter 11 Current Programmed Control

Chapter 11 Current Programmed Control Chapter 11 Current Programmed Control Buck converter v g i s Q 1 D 1 L i L C v R The peak transistor current replaces the duty cycle as the converter control input. Measure switch current R f i s Clock

More information

Applications of Fuzzy Logic in Control Design

Applications of Fuzzy Logic in Control Design MATLAB TECHNICAL COMPUTING BRIEF Applications of Fuzzy Logic in Control Design ABSTRACT Fuzzy logic can make control engineering easier for many types of tasks. It can also add control where it was previously

More information

Applications of Second-Order Differential Equations

Applications of Second-Order Differential Equations Applications of Second-Order Differential Equations Second-order linear differential equations have a variety of applications in science and engineering. In this section we explore two of them: the vibration

More information

Using the HT46R46 I/O Ports to Implement Half-Duplex SPI Communication

Using the HT46R46 I/O Ports to Implement Half-Duplex SPI Communication Using the HT46R46 I/O Ports to Implement Half-Duplex SPI Communication D/N: HA0150E Introduction This application explains how to use two I/O lines on the HT46R46 to implement half-duplex SPI communication.

More information

10. Proximal point method

10. Proximal point method L. Vandenberghe EE236C Spring 2013-14) 10. Proximal point method proximal point method augmented Lagrangian method Moreau-Yosida smoothing 10-1 Proximal point method a conceptual algorithm for minimizing

More information

Linear-Quadratic Optimal Controller 10.3 Optimal Linear Control Systems

Linear-Quadratic Optimal Controller 10.3 Optimal Linear Control Systems Linear-Quadratic Optimal Controller 10.3 Optimal Linear Control Systems In Chapters 8 and 9 of this book we have designed dynamic controllers such that the closed-loop systems display the desired transient

More information

Introduction to Xilinx System Generator Part II. Evan Everett and Michael Wu ELEC 433 - Spring 2013

Introduction to Xilinx System Generator Part II. Evan Everett and Michael Wu ELEC 433 - Spring 2013 Introduction to Xilinx System Generator Part II Evan Everett and Michael Wu ELEC 433 - Spring 2013 Outline Introduction to FPGAs and Xilinx System Generator System Generator basics Fixed point data representation

More information

Solving ODEs in Matlab. BP205 M.Tremont 1.30.2009

Solving ODEs in Matlab. BP205 M.Tremont 1.30.2009 Solving ODEs in Matlab BP205 M.Tremont 1.30.2009 - Outline - I. Defining an ODE function in an M-file II. III. IV. Solving first-order ODEs Solving systems of first-order ODEs Solving higher order ODEs

More information

Transmitter Interface Program

Transmitter Interface Program Transmitter Interface Program Operational Manual Version 3.0.4 1 Overview The transmitter interface software allows you to adjust configuration settings of your Max solid state transmitters. The following

More information

8.2. Solution by Inverse Matrix Method. Introduction. Prerequisites. Learning Outcomes

8.2. Solution by Inverse Matrix Method. Introduction. Prerequisites. Learning Outcomes Solution by Inverse Matrix Method 8.2 Introduction The power of matrix algebra is seen in the representation of a system of simultaneous linear equations as a matrix equation. Matrix algebra allows us

More information

Information Board User s Guide

Information Board User s Guide We are here just for you! Sure Electronics Dot Matrix Display Information Board User s Guide Product Name Product ID : Dot Matrix Display Information Board : DE-DP0 Product Version : Ver. Document Version

More information

S7 for Windows S7-300/400

S7 for Windows S7-300/400 S7 for Windows S7-300/400 A Programming System for the Siemens S7 300 / 400 PLC s IBHsoftec has an efficient and straight-forward programming system for the Simatic S7-300 and ern controller concept can

More information

LMS is a simple but powerful algorithm and can be implemented to take advantage of the Lattice FPGA architecture.

LMS is a simple but powerful algorithm and can be implemented to take advantage of the Lattice FPGA architecture. February 2012 Introduction Reference Design RD1031 Adaptive algorithms have become a mainstay in DSP. They are used in wide ranging applications including wireless channel estimation, radar guidance systems,

More information

Parallel Computing with MATLAB

Parallel Computing with MATLAB Parallel Computing with MATLAB Scott Benway Senior Account Manager Jiro Doke, Ph.D. Senior Application Engineer 2013 The MathWorks, Inc. 1 Acceleration Strategies Applied in MATLAB Approach Options Best

More information