Multi-disciplinary simulation of Cyber-Physical Systems – The OpenCPS approach
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- The OpenCPS project aims to develop multi-disciplinary simulation of cyber-physical systems through an open model-driven approach over 3 years with 18 partners from 4 countries. - Key innovation areas include an FMI runtime and master simulation framework, state machine debugging and validation, and efficient multi-core simulation. - The project will validate results through industrial demonstrators in various domains like buildings, automotive, aeronautics, and energy.
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Geometry DataBoundary Conditions
Flight mission (Mach, altitude, …)
Pressure, Temp., Humidity with
altitude
Sun radiation, Sun position,
Pressure, Temperature, Humidity
change over horizontal distance
Non standard atmospheres model?
Time varying heat loads from e.g.
sensors
ECS Control System
[Simulink]
Control system model, takes sensor
signals as input, sends control signals
to a number of electrically actuated
valves in the ECS.
Aircraft Environmental
Control System (ECS)
[Modelica]
Model of the aircraft environmental
control system, including realistic
provision of cockpit comfort air.
Pilot Physiological Model
[Matlab]
Simulate human (pilots) body
temperatures depending on personal
or automatically set cockpit
environmental aircraft data.
Cockpit Model
[Matlab]
Simulate the temperature, pressure
and humidity of the cockpit air
depending on the inputs from the
ECS system and the pilots
physiological performance.
Pilot Psychological Model
[UML]
Model which simulate the
psychological behavior and
reactions of the pilot depending
on the environmental comfort.
Flight Management System
[xtUML]
Model providing the pilot with
alarms, warnings, and suggested
actions depending on current aircraft
state.
Engine [Modelica]
Simple model of an aircraft engine;
bleed pressure, temperature.
Functional Mock-up
Unit (FMU)
Physical connection
Information signal
FMI master simulation
environment
Model description
[language/tool
origin]
Industrial Use Case
Saab Aeronautics](https://image.slidesharecdn.com/smart2017opencps2-170410153503/85/Multi-disciplinary-simulation-of-Cyber-Physical-Systems-The-OpenCPS-approach-19-320.jpg)
Multi-disciplinary simulation of Cyber-Physical Systems – The OpenCPS approach
- 1. Multi-disciplinary simulation of Cyber-Physical Systems – The OpenCPS approach SMART 2017 , 5th April 2017 Anders Eriksson (SAAB) Akos Horvath (LiU)
- 2. 2 Short Overview Duration 3 years, December 2015 to December 2018 4 countries: Sweden, France, Finland, Hungary Current status: 46.5 person-years, 6.5 M€, 18 partners Open Cyber-PhysicalSystemModel-Driven Certified Development
- 3. 3 Consortium Overview Industrial Domains & Applications • Sweden • Equa Simulation • Ericsson • KTH • Linköping University • Saab • SICS East • Siemens Industrial Turbomachinery • SKF France • CEA LIST • EDF • ESI Group • Inria • RTE • Sherpa Engineeing • SIREHNA Finland • VTT Hungary • IncQuery Labs • ELTE-Soft Communications technology Energy & Power plants Aeronautics Naval Bearings Automotive Buildings & infrastructure Red = Project Leader Green = National Coordinator
- 4. 4 FMI run-time and master simulation framework including UML/Modelica Interoperability - Scalable, reliable co-simulation of discrete-time software parts with continuous- time physical processes, designed for handling large numbers of events - Integration of the UML and Modelica domains utilizing the FMI standard - Open source FMI Master Simulation Tool State Machine and Real-Time Debugging & Validation - Industry-strength support for advanced state-machine modeling and debugging - Several levels: limited debugging of connected black-box FMUs, full debugging capabilities for components for which the model source code is available Efficient Multi-Core Simulation - Improved compilation and simulation capabilities for large models - Several levels: coarse-grained, running whole simulations and/or FMUs in parallel, to more fine-grained by parallelization of equation models and algorithmic code inside model components Top 3 Key Innovation Areas Targeted Innovations
- 5. 5 Top 3 Key Innovation Areas Targeted Innovations Validation of project results in a wide range of advanced industrial demonstrators!
- 6. 6 Industrial demonstrators EQUA Building Gaz turbines Siemens TU, KTH, VTT Aeronautics Saab AB, LIU Mechanics SKF, LIU Automotive Sherpa, CEA Naval Sirehna Power plant EDF, LIU
- 7. 7 Industrial Use Case Saab Aeronautics
- 8. 8 IN 1937 WE TOOK OFF A history from the 17th century through Alfred Nobel (Bofors) and the shipyard in Karlskrona (Kockums) In 1937, Saab was founded to protect Sweden’s borders and its people Born smart – as a small country, we were forced to arm ourselves with good and cost-effective equipment On our journey we created Sweden’s computer, missile and space industries 8
- 10. 10 MODEL integration and system simulation 10 Training System Requirements Software models and tools System Simulator Flight Test Hardware Rigs Software Development MYSIM Prototyping Tools and Simulators Aircraft Software Mission Trainer Prototype Demonstrations and Evaluation
- 11. 11 Industrial Use Case Saab Aeronautics Fuel Cooling Hydraulics Landing gear & braking Escape, oxygen & anti-g Electrical power & lighting Secondary power Flight mechanics Avionics Vehicle systems Engine Sensors
- 12. 12 Industrial Exploitation & Business Impact Industrial use case 12 Flight test 3 Test rigs & simulators 2 Calibration and validation of models Minor updates of system design 1 H/W specification & development S/W specification & development Early detection of design errors Model of S/W Model of physical system
- 13. 13 13 Flight test 3 Test rigs & simulators 2 Calibration and validation of models Minor updates of system design 1 Model of S/W Model of physical system 13 UML Model of S/W Industrial Exploitation & Business Impact Industrial use case
- 14. 14 14 • FMI-based co-simulation of Aircraft Vehicle Systems ‒ Models of physical systems ‒ Models of control software ‒ Models of functional monitoring ‒ Models of human physiology Thermal model of human System schematics of an aircraft Environmental Control System (ECS) Industrial Use Case Saab Aeronautics
- 15. 15 15 Industrial Use Case Saab Aeronautics
- 16. 16 Industrial Use Case Saab Aeronautics More efficient processes for model export & integration supporting continuous model validation and improvement - Early validation of system safety and security - Supporting large-scale system simulator development Model based development has shown to increase the system knowledge and errors are found in an earlier stage - Simulation of system including both continuous and discrete event models Modelling as a means for communication has a great potential for development of complex systems - Both internally and externally with partners and subcontractors
- 17. Conclusion
- 18. 18 Current Status of OpenCPS For more details: akos.horvath@incquerylabs.com https://opencps.eu/ Industry grade benchmark models developed First prototype of run-time integrating FMI and UML Prototype implementations for real-time synchronization and clocked synchronous library Extensive testing/development of the Transmission Line Method (TLM) connection to Modelica tools Prototyping method for simulation of connected and mutually dependent FMUs
- 19. 19 19 Geometry DataBoundary Conditions Flight mission (Mach, altitude, …) Pressure, Temp., Humidity with altitude Sun radiation, Sun position, Pressure, Temperature, Humidity change over horizontal distance Non standard atmospheres model? Time varying heat loads from e.g. sensors ECS Control System [Simulink] Control system model, takes sensor signals as input, sends control signals to a number of electrically actuated valves in the ECS. Aircraft Environmental Control System (ECS) [Modelica] Model of the aircraft environmental control system, including realistic provision of cockpit comfort air. Pilot Physiological Model [Matlab] Simulate human (pilots) body temperatures depending on personal or automatically set cockpit environmental aircraft data. Cockpit Model [Matlab] Simulate the temperature, pressure and humidity of the cockpit air depending on the inputs from the ECS system and the pilots physiological performance. Pilot Psychological Model [UML] Model which simulate the psychological behavior and reactions of the pilot depending on the environmental comfort. Flight Management System [xtUML] Model providing the pilot with alarms, warnings, and suggested actions depending on current aircraft state. Engine [Modelica] Simple model of an aircraft engine; bleed pressure, temperature. Functional Mock-up Unit (FMU) Physical connection Information signal FMI master simulation environment Model description [language/tool origin] Industrial Use Case Saab Aeronautics