Active Suspension Control by Using Linear Quadratic Regulator and Sliding Mode Control Techniques with Optimisation

This paper proposes an optimal control technique of an active suspension system using two degrees of freedom quarter car model. The main purpose of the study is to analyse the effectiveness of state feedback controllers based on Linear Quadratic Regulator (LQR) and Sliding Mode Control (SMC) which are optimised based on Particle Swarm Optimization (PSO) algorithm utilisation of active suspension system. The controllers are designed to improve a ride comfort while maintaining a restriction of suspension travel and wheel deflection subjected to the road disturbances. The performances of SMC based-PSO controller is compared to with the LQR based-PSO controller and the existing conventional suspension system based on the road profile that the car will pass through. To evaluate the effectiveness of the proposed controller, simulations are carried out and tested under the double bump road input profile. The results clearly show that the SMC approach outperforms the LQR and conventional suspension system in achieving a better ride comfort. Simulation by (Simulink Matlab) is carried out to illustrate system control and performances.