Towards an effective interoperability of models within the System Engineering applied to aeronautics

Transcription

1 CONFERENZA INCOSE ITALIA SU SYSTEMS ENGINEERING CIISE 2014 Roma, Novembre 2014 Towards an effective interoperability of models within the System Engineering applied to aeronautics Eugenio Brusa, Sergio Chiesa, Ambra Calà, Francesco De Vita, Davide Ferretto Dept. Mechanical & Aerospace Engineering Politecnico di Torino, Italy CIISE 2014 Rome, Italy E. Brusa, A. Calà Politecnico di Torino

2 Introduction Physical phenomena are often described by numerical models. Differential equations often allow to predict the system dynamic behavior, however they are somehow inadequate to perform a trade-off of architectures or to define the discrete control strategy of some components and parts. System Engineering provides some suitable tool for an effective description of system functional behavior and architecture. For a full performance analysis it is required an hybrid simulation environment that allow the heterogeneous modeling of the system behavior, which might resort to several components and tools. An industrial example is used to show some challenging issues of inter-operability of tools and models, being a de-icing system for a regional aircraft.

3 Inflatable boots: DIMEC Goodrich de-icing system

4

5 Model-Based Systems Engineering Physical modeling

6 Requirements Analysis Stakeholders and use cases Requirements

7 Behavior Analysis

8 Behavior Analysis

9 System interfaces

10 Functional model detailed description of the system architecture and of its states-based behavior Physical model dynamic behavior in the continuous-time domain Dynamic behavior Full performance analysis System architecture

11 Goodrich system layout

12 Physical model in Simulink

13 The challenge of interoperability There are many different simulation tools No standards are available right now for co-simulation between tools Difficulty to perform analysis at the model level is found Tool-chain integration is still expensive

14 Functional Mock-up Interface (FMI)

15 FMI for Model Exchange: FMI approach Tool FMU Solver Model FMI for Co-Simulation: Tool FMU Model Solver Over 35 tools

16 SysML hybrid simulation

17 SysML hybrid simulation

18 SysML behavioral blocks ITI SimulationX

19 SysML behavioral blocks ITI SimulationX

20 Conclusions In the test case the functional behavior is easily analyzed through the SysML, while the dynamic performance can be investigated only through a physical model. The heterogeneous simulation environments are therefore growing up as a key feature of the Model-Based System Engineering. Looking for an interoperability standard is currently a hot topic of the research activity. One of the most promising standard currently available and implemented by some tools developers is the Functional Mock-up Interface (FMI). A good inter operability will definitely link the world of functional and operational design of systems thus allowing a better assessment of cost and time to market.

21 Thank You for Your kind attention! Eugenio Brusa, Sergio Chiesa, Ambra Calà, Francesco De Vita, Davide Ferretto Dept. Mechanical & Aerospace Engineering Politecnico di Torino, Italy {eugenio.brusa, ambra.cala, francesco.devita,