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Static output feedback control for active suspension using PSO-DE/LMI approach

Considering a vehicle is always moving in changing and uncertain environment, this paper presents a H-inf static output feedback control strategy based on a PSO-DE/LMI hybrid algorithm for active suspension. Based on liner matrix inequality (LMI) method and two kinds of population-based evolutionary algorithms, Particle Swarm Optimization (PSO) algorithm and Differential Evolution (DE) algorithm, a new hybrid algorithm is proposed to solve an optimization problem with bilinear matrix inequality (BMI) constraints. The proposed hybrid algorithm improves the convergence rate and accuracy of the original DE-LMI algorithm, and is used to design H-inf static output feedback controller for active suspension. The simulation results show that the designed controller effectively reduces the vertical and pitch accelerations of the car body, and therefore, the proposed approach can improve the riding comfort of vehicles.