Optimal control: linear quadratic methods
Optimal control: linear quadratic methods
Fuzzy Control
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Recently, active suspension has been applied to many commercial automobiles. To develop the control algorithm for active suspension, a quarter-car test bed was built by using a direct-drive tubular linear brushless permanent-magnet motor (LBPMM) as a force-generating component. Modified lead-lag control, linear-quadratic (LQ) servo control with a Kalman filter, the fuzzy control methodologies were implemented for active-suspension control. In the case of fuzzy control, an asymmetric membership function was introduced. This controller could attenuate road disturbance by up to 78%. Both simulation and experimental results are presented to demonstrate the effectiveness of these control methodologies.