Application of genetic algorithms to the design optimization of an active vehicle suspension system
β Scribed by A.E. Baumal; J.J. McPhee; P.H. Calamai
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 694 KB
- Volume
- 163
- Category
- Article
- ISSN
- 0045-7825
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β¦ Synopsis
The use of numerical optimization methods to partially automate the design process is demonstrated. Genetic algorithm (GA) optimization, a global search technique, is used to determine both the active control and passive mechanical parameters of a vehicle suspension system. The objective is to minimize the extreme acceleration of the passenger's seat, subject to constraints representing the required road-holding ability and suspension working space. GA optimization is also used for passive suspension design to compare results from the literature based on a local optimization search technique: a gradienl projecrion method.
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