Azadeh Ghahremani - Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Qazvin, Iran
Hamid Khaloozadeh - Department of System and Control, Electrical Engineering faculty, Khajeh Nassir Toosi University of Technology, Tehran, Iran

By the advances in the electronic industry and control, vehicle designers tend to engage active suspension system to enhance safety and stability in their products. Among all electromagnetic suspension system with the capability of regenerating energy which is used for decreasing the consumption of energy and increasing passenger comfort and handling has satisfied the car producers in recent years. In thispaper, optimal robust adaptive controller is designed based on Lyapunov theory and linear matrix inequality (LMI) with parametric uncertainty on the basis of a linear quarter-car model. The performance of this controller in the presence of parametric uncertainty and road disturbance has been compared with H_∞, and Robust Linear Quadratic Regulator (RLQR) andalso have been compared with mixed H_∞/ RLQR controller. The aim of control design is trade-off between ride control and handling by directly controlling the suspension-force. The simulation results show the effectiveness of suggested method in increasing ride comfort and safety. Since one of the basic problems of active suspension system is its high energy consumption, the suggested algorithm for optimizing control signal works successfully.

Active Suspension System, Robust Control H ,Robust Linear Quadratic Regulator (RLQR)MixedH ,/RLQRC Controller