Accurate Thermo-Fluid Simulation in Real Time Environments

게시자: Songyi Han, 2017. 7. 30. 오후 11:11
The need for comprehensive and repeatable system-level testing of embedded systems can present major economic and technical challenges to systems and test engineers. 
It often involves combining real hardware components with a software simulation model to perform hardware-in-the-loop (HIL) simulation and testing. 
This technique is essential in evaluating and verifying systems that cannot easily or safely be tested in a real operating environment and where testing extends to failure mode analysis of the system. 

The HIL simulation concept has many applications from a relatively simple AC temperature controller to a more complex system such as an aircraft re-fuelling system. 
HIL simulation requires real time interaction with the software simulation model that represents part of the system environment under test. 
The progress in numerical simulation methods and high-performance computing provides thermo-fluid system engineers with greater power to gain insights into their systems’ performance through the exploration of multiple system configurations. 
In many cases, complex simulations are not able to run natively in real time, which makes the software solution unsuitable for coupling with an HIL environment. 
Therefore an alternative approach is needed.

This paper describes the Design of Experiments approach used in the Mentor Graphics 1D thermo-fluid simulation software Flowmaster V7 to address the issue providing simulation results in real-time. 
Mentor Graphics has collaborated with EnginSoft in order to implement the creation of Response Surface models within the Flowmaster GUI. 
This framework allows for the creation of meta-models of a full simulation model to be exported as C code or as MATLAB™ S-Functions suitable for use in a HIL environment or as the backend code to a runtime model of the system. 
The latter when implemented as a portable runtime version with a dashboard interface provides a useful tool allowing non-experts to review the results of a simulation model analysis and understand a system’s behavior more easily.

▶ 분류 : Whitepaper
▶ 키워드 : 

Songyi Han,
2017. 7. 30. 오후 11:11