Optimized Sensorless Antivibration Control for Semiactive Suspensions with Cosimulation Analysis

This paper proposes an optimized sensorless control methodology to design semiactive controllers for vehicle vibration control. The semiactive suspension model including filtered feedback scheme and actuator dynamics is first investigated. Furthermore, to estimate the immeasurable states for feedback control, an observer considering practical applications is introduced, while the exponential convergence and the stability of the overall system are guaranteed. A direct fuzzy compensation scheme with genetic optimization is used to release the constraint requiring, in advance, the precise upper bound of system uncertainties in the control gain design. With the cosimulation approach, the multibody virtual prototype of a sedan with the proposed system is tested under various road conditions in a near real environment. The cosimulation data and results for a full-car semiactive suspension system are provided to validate the effectiveness of the proposed control system.