LQR controller design of active suspension based on genetic algorithm

Aiming at the problem that the weight matrix Q and R of LQR active control algorithm are difficult to take values, the optimization objective function f is established. Using genetic algorithm (GA) fast algorithm, the optimal solution of the objective function is obtained by reducing the dimension. The vibration control performance of GA_LQR is analyzed, and the results show that GA_LAR has great influence on ride comfort and safety. The improvement of handling stability is more obvious than LQR, and the value of objective function f is smaller. The LQR weight matrix weight parameter optimization method is simple and effective, which is suitable for vehicle engineering field.