H-infinity control via scenario optimization for handling and stabilizing vehicle using AFS control

Abstract

Due to the day by day emergence of automobile industry, improvement in sensor technologies and the need to reduce the occurrence of accident vehicle handling and stability improvement technologies emanating. In this paper a novel H infinity controller via scenario optimization (H-infinity VSO) is presented for Active front steer (AFS) control the aim is to handle and stabilize vehicle under the uncertainty of parameter road adhesion coefficient µ. Parameter uncertainty is translated into perturbed matrixes. Optimal controller gains are calculated by considering predefined scenarios extracted according to the parameters ε and β. ε represents the probability of violation of LMI constraints and β represents confidence or risk failure. In this manner a chance constrained problem is solved which results in less conservativeness in stability and optimality. The results of proposed approach are much improved as compared to the optimal guaranteed cost controller (OGCC) and optimal coordination (OC) controller.