Application of Artificial Fish Swarm Algorithm in LQR Control for Active Suspension

This paper investigates the problem of artificial fish swarm algorithm (AFSA) in LQR control of active suspension. To find the optimal solution, AFSA is used to overcome the shortcoming that the coefficients are determined based on experience in the LQR, which cannot guarantee the optimal solution. At first, the quarter car active suspension model and the road excitation model are given. Then the LQR controller and LQR controller with AFSA are designed. And at last, the simulation is conducted. Compared with the conventional LQR control, LQR controller with ASFA can concurrently improve both the ride comfort and driving control stability of vehicle.