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Scilab Modelica conference 20150921

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Leveraging Modelica & FMI in Scilab open-source engineering software

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Scilab Modelica conference 20150921

  1. 1. Leveraging Modelica & FMI in Scilab open-source engineering software September 2015 1© Scilab Enterprises Yann DEBRAY : yann.debray@scilab-enterprises.com : +33 1 80 77 04 73 : +49 157 51 49 49 15
  2. 2. Agenda  Introduction  Scilab Use cases  Modelica in Scilab/Xcos  Scilab/Xcos FMI import/export  Demonstrations  Questions - Answers 2© Scilab Enterprises
  3. 3. Introduction Scilab History Scilab Today Scilab Distribution 3© Scilab Enterprises
  4. 4. Scilab History 1980: First Scilab Kernel = Free Matlab 1990 - 2003: 1994: Scilab freely distributed on the net 2003 - 2012: Scilab Consortium 2012 - Today: Scilab Enterprises drives the evolution of Scilab 4 1980 – 1990: INRIA – French national research institute for Informatics & Automation Integration of Modelica Since 2005 © Scilab Enterprises
  5. 5. Scilab Today From www.scilab.org  ~ 100 000 monthly installations from 150 countries 5© Scilab Enterprises
  6. 6. Scilab Open Source Distribution Workstation Software:  Scilab Powerful Computation Engine  Xcos Dynamic Systems Modelling and Simulation Server Software:  ATOMS Server Modules/Toolboxes Management 6© Scilab Enterprises
  7. 7. Scilab Use cases Main references Industrial use cases 7© Scilab Enterprises
  8. 8. Main Scilab References  Aerospace & Defense: CNES, Astrium, DLR, Safran, Dassault Aviation, DGA, Thales  Automotive: PSA, Renault, Leoni, Valeo, Faurecia, TMD Friction, Continental  Metallurgy: ArcelorMittal, Aperam, Alcan, Eramet  Energy: CEA, EDF, RTE, ABB, Total, IFP, Alstom…  Chemical & Pharmaceutical : Solvay/Rhodia, Sanofi 8© Scilab Enterprises
  9. 9. From R&D to industrial implementation Execution Engine (based on Scilab) 9 Components from the Model Repository … … for simulation … in dedicated applications Can be used … © Scilab Enterprises 9
  10. 10. Modelling of a metallurgical reactor  Use of odedc (discrete/continuous ordinary differential equations solver) © Scilab Enterprises 10
  11. 11. Live Monitoring of Air Handling Units  Problem: Heating, Ventilation, Air Climatisation amounts to 60 % of energy bill = 500k€/year  oscillations in Air Handling Units control (blue= cooling valve, red= heating valve) Scilab Solutions:  Energy simulation OPTICLIM (+Excel import)  Energy monitoring Modbus over TCP/IP © Scilab Enterprises 11
  12. 12. Thermal pre-dimensioning of electronic circuit based on Thermal Impedance  Goal: Dimension quickly but with enough precision in an early phase Results: Errors limited to about 3°C Blue = « 0D » Model / Red = CFD Simulations 3 observed points (the 3 junction temperatures) 12© Scilab Enterprises
  13. 13. Post-treatment tools from aero-acoustic data  Thin band spectrum  cartographic 2D  Data acquisition (30 GB per test campaign)  Convertion into spectral data (Fourier transform)  Grid definition  Correction matrix  Display 13Fast processing and visualization © Scilab Enterprises
  14. 14. DoE, post-processing and visualization Modules used  DACE (ATOMS): kriging  NSGA2 : multi-objective optimization  TOPSIS : multicriteria decision making (specific development) Development of a GUI to explore simulation results (Excel imported) GUI, graphics, advanced mathematics © Scilab Enterprises 14
  15. 15. Sizelab: Application for mechanical pre-sizing 15© Scilab Enterprises 15
  16. 16. Scilab used for the mission ROSETTA  Reading/writing inputs/outputs data of Flight Dynamics System (proprietary)  Mission frames transformation  Comets environments  Comets topography and Digital Terrain Model  Statistic and probability analysis  Geometry computations 16 © Scilab Enterprises
  17. 17. Scilab/Xcos + Modelica/FMI Scilab / Xcos functional coverage Modelica in Xcos FMI: Model-Exchange & Co-simulation 17© Scilab Enterprises
  18. 18. © Scilab Enterprises 18  Mathematics  Statistics  Optimization  Signal Processing  Control Systems A powerful platform with more than 2,000 functions:
  19. 19. Scilab Architecture 19 Scilab Hardware adaptation File types support Graphical Modelling & Simulation Xcos Maths functions d/dt aX² +bX Scientific functions Stats Fftw +Signal processing Optim User interfaces Command line Graphing Editor APIs/extensions: Language binding Dynamic link functions Editor Scinote HMI/ GUI Builder Call_scilab ATOMS Module definition Sparse Matrix interp olation Rand -lib Language interpreter AST Types, integer, string, sparse time Matlab compatibility compatibility conversion Development environments help Localization Preferences Windows_tools elementary_functions Control systems
  20. 20. Xcos: Hybrid Dynamic Systems Modeler & Simulator Xcos features Graphical Output Graphical Editor Hybrid Simulation Customizable Palettes Multiphysics simulation Simulation Acceleration Xcos external modules Finite State Machine Embedded Code Generation Functional Mockup Interface 20© Scilab Enterprises
  21. 21. © Scilab Enterprises 21 Discrete Simulation  The observation of a phenomenon is activated by an event. During the activation, the state of the system changes et programs future events. Continuous Simulation  Observation of a phenomenon during a fixed and regular step time. Hybrid Simulation  The observation of a phenomenon is made during a fixed time step, but can also be activated by an event.
  22. 22. Model building in Xcos © Scilab Enterprises 22 To compute and plot the values of I1 and I2: We obtain that:
  23. 23. Modelica integration in Xcos © Scilab Enterprises 23 Real life Xcos and Modelica
  24. 24. © Scilab Enterprises 24 Xcos standard causal blocks  Equation:  Block: written in C, Scilab language 𝑦 = 𝑓 𝑢  Equation:  Block: written in Modelica language Xcos acausal blocks 𝑓 𝑦, 𝑢 = 0
  25. 25. How does it work? © Scilab Enterprises 25 Modelica compiler embedded into Xcos 1. Flattening process 2. Solution of the DAE and generation of an equivalent simulation function in C (causal): the implicit subset is replaced par an equivalent superblock for the simulation 3. Compilation and dynamic linking to Scilab
  26. 26. Conclusion: Scilab+Xcos+Modelica --> mixed Xcos/Modelica modelling --> Integrated graphical environnement in a powerful pre-/post-processing engine: Scilab! Modelica compiler written in Ocaml support only a subset of Modelica 2.0 --> Help us integrate the OpenModelica Compiler
  27. 27. FMI: Model-Exchange & Co-simulation Scilab/Xcos Control team Software A Thermal team FMU import/export --> Separate the model authoring tool from the model execution tool --> Deploy from few simulation specialists to designers, domain specialists, …
  28. 28. Demonstrations Automotive suspension with Scilab / Xcos / Modelica FMI in Xcos Xcos Parameter identification with fminsearch Datafitting with Excel data Xcos solvers 28© Scilab Enterprises
  29. 29. Three ways for Physical modelling with Scilab/Xcos 1. Scilab: Simple mathematical description with Ordinary Differential Equations 2. Xcos: Causal description with transfert functions 3. Coselica: Acausal description with multi-physical block example: Automobile suspension © Scilab Enterprises 29
  30. 30. Ordinary Differential Equations (ODE) in Scilab function yp=quarter_car_ode(t, y) v = 4; // Speed [m/s] m = 50; c_F = 10000; // [N/m] c_D = 400; // [Ns/m] x = v*t ; yp = [y(2); 1/m*(c_D*(v*zp-y(2))+c_F*(z-y(1)))]; endfunction t = linspace(t0,t1); y= ode("rkf",[0;0],t0,t,quarter_car_ode); © Scilab Enterprises 30
  31. 31. Causal design with Xcos: Automotive suspension from PSA © Scilab Enterprises 31
  32. 32. Acausal with Modelica blockset in Xcos © Scilab Enterprises 32
  33. 33. Demo Xcos FMI Cruise Control 33© Scilab Enterprises • Modelled in SCADE Simulated in Xcos --> Link to established specialized proprietary software
  34. 34. Demo Xcos FMI PID Controller 34© Scilab Enterprises • The same PID Controller natively and imported with model-exchange and co-simulation: --> Fidelity in simulation, ease to model
  35. 35. Xcos Parameter identification with fminsearch 35© Scilab Enterprises
  36. 36. Datafitting with Excel data 36© Scilab Enterprises
  37. 37. Xcos solvers 37© Scilab Enterprises
  38. 38. Conclusion  Scilab/Xcos + Modelica/FMI = – Advanced simulation technologies, with the strength of having a powerful computation platform – Committed to open standards – Let us do more in this direction together Adopt Scilab, choose the open source © Scilab Enterprises 38

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