A genetic-algorithm (GA)-based fuzzy proportional-plus-integral/proportional-plus-derivative (PI/PD) controller is proposed for an automotive active suspension system (AASS). The fuzzy PI- and PD-type controllers are combined to cope with the different road conditions. By using the merit of GA's, the optimal decision-making rules for both types of controllers are constructed. The real-time simulation results demonstrate that the fusion of GA's and fuzzy controller for an AASS can provide passengers much more ride comfort.
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