Optimisation of lateral car dynamics taking into account parameter uncertainties
Simulation studies on an active all-wheel-steering car show that disturbance of vehicle parameters have high influence on lateral car dynamics. This motivates the need of robust design against such parameter uncertainties. A specific parametrization is established combining deterministic, velocity-dependent steering control parameters with partly uncertain, velocity-independent vehicle parameters for simultaneous use in a numerical optimization process. Model-based objectives are formulated and summarized in a multi-objective optimization problem where especially the lateral steady-state behavior is improved by an adaption strategy based on measurable uncertainties. The normally distributed uncertainties are generated by optimal Latin hypercube sampling and a response surface based strategy helps to cut down time consuming model evaluations which offers the possibility to use a genetic optimization algorithm. Optimization results are discussed in different criterion spaces and the achieved improvements confirm the validity of the proposed procedure.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00423114
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Supplemental Notes:
- Abstract reprinted with permission of Taylor & Francis
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Authors:
- Busch, Jochen
- Bestle, Dieter
- Publication Date: 2014-2
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 166-185
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Serial:
- Vehicle System Dynamics
- Volume: 52
- Issue Number: 2
- Publisher: Taylor & Francis
- ISSN: 0042-3114
- EISSN: 1744-5159
- Serial URL: https://www.tandfonline.com/toc/nvsd20/current
Subject/Index Terms
- TRT Terms: Genetic algorithms; Optimization; Steady state; Steering; Uncertainty; Vehicle dynamics
- Subject Areas: Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01522963
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 24 2014 11:45AM