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Model-Based Systems Engineering and Control System Development via Virtual Hardware-in-the-Loop Simulation
Technical Paper
2010-01-2325
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
SAE Convergence 2010
Language:
English
Abstract
Model-based control system design improves quality, shortens development time, lowers engineering cost, and reduces rework. Evaluating a control system's performance, functionality, and robustness in a simulation environment avoids the time and expense of developing hardware and software for each design iteration. Simulating the performance of a design can be straightforward (though sometimes tedious, depending on the complexity of the system being developed) with mathematical models for the hardware components of the system (plant models) and control algorithms for embedded controllers. This paper describes a software tool and a methodology that not only allows a complete system simulation to be performed early in the product design cycle, but also greatly facilitates the construction of the model by automatically connecting the components and subsystems that comprise it. A key element of this technique is the software-in-the-loop (SIL) capability, which permits compiled production controller code to be incorporated into the simulation environment, thus allowing the inclusion of algorithm functionality for which no simulation models exist. With this approach, the control system can be developed early in the vehicle or powertrain design cycle, incorporating plant models, algorithm models, existing controller code, and architectural constructs that greatly expedite the creation of a system simulation that can be used for algorithm development, testing, and validation. An application of this methodology at General Motors Powertrain is described in detail.
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Authors
- Lawrence Michaels - Argonne National Laboratory
- Sylvain Pagerit - Argonne National Laboratory
- Aymeric Rousseau - Argonne National Laboratory
- Phillip Sharer - Argonne National Laboratory
- Shane Halbach - Argonne National Laboratory
- Ram Vijayagopal - Argonne National Laboratory
- Michael Kropinski - General Motors LLC
- Gregory Matthews - General Motors LLC
- Minghui Kao - General Motors LLC
- Onassis Matthews - General Motors LLC
- Michael Steele - General Motors LLC
- Anthony Will - General Motors LLC
Topic
Citation
Michaels, L., Pagerit, S., Rousseau, A., Sharer, P. et al., "Model-Based Systems Engineering and Control System Development via Virtual Hardware-in-the-Loop Simulation," SAE Technical Paper 2010-01-2325, 2010, https://doi.org/10.4271/2010-01-2325.Also In
References
- Argonne National Laboratory Autonomie Documentation Argonne National Laboratory Argonne, IL 2009
- Argonne National Laboratory Autonomie Presentation http://www.transportation.anl.gov/pdfs/MC/578.pdf 2009
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- Matthews, O. Michaels, L. (General Motors) “GM Powertrain Automatic Code Generation Process,” MathWorks International Automotive Conference June 2005
- Vijayagopal, R. Michaels, L. Rousseau, A.P. Halbach, S. et al. “Automated Model Based Design Process to Evaluate Advanced Component Technologies,” SAE Technical Paper 2010-01-0936 2010 10.4271/2010-01-0936
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