Optimal control of the active suspension based on the genetic algorithm

The genetic algorithm (GA) was added to the linear quadratic regulators (LQR) and a new optimal control method-Genetic Algorithm Linear Quadratic Regulators (GALQR) was presented. The method used GA to optimize the weight matrices of LQR and adopted divisional removing searching mechanism to insure getting the global optimal results. The method was applied to design the control schedules of Active Suspension System. Through comparing with the experiential LQR, the results show the GALQR can increase the possibility of finding the optimal weight matrices and make the system gain better design performance.