Non-fragile Output Feedback H-infinity Vehicle Suspension Control Using Genetic Algorithm

Publisher:
Elsevier
Publication Type:
Journal Article
Citation:
Engineering Applications of Artificial Intelligence, 2003, 16 (7-8), pp. 667 - 680
Issue Date:
2003-01
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This paper presents an approach to design static output feedback and non-fragile static output feedback H infinity controllers for active vehicle suspensions by using linear matrix inequalities and genetic algorithms. A quarter-car model with active suspension system is considered in this paper. By suitably formulating the minimization problem of the sprung mass acceleration, suspension deflection and tyre deflection, a static output feedback H infinity controller and a non-fragile static output feedback H infinity are obtained. The controller gain is naturally constrained in the design process. The approach is validated by numerical simulation which shows that the designed static output feedback H infinity can achieve good active suspension performance in spite of its simplicity, and the non-fragile static output feedback H infinity has significantly improved the non-fragility characteristics over controller gain variations.
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