Hybrid Fuzzy Skyhook Surface Control Using Multi-Objective Microgenetic Algorithm for Semi-Active Vehicle Suspension System Ride Comfort Stability Analysis

A polynomial function supervising fuzzy sliding mode control (PSF alpha SMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MO mu GA) has been utilized to determine the PSF alpha SMC controller's parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the offline step. Then, the optimized parameters are applied to the real-time control process by the polynomial function supervising controller, which is named online step. A two-degree-of-freedom dynamic model of the vehicle semi-active suspension systems with the stability analysis is given for passenger's ride comfort enhancement studies, and a simulation with the given initial conditions has been devised in MATLAB. The numerical results have shown that this hybrid control method is able to provide real-time enhanced level of reliable ride comfort performance for the semi-active suspension system. [DOI: 10.1115/1.4006220]