LQR Controller for the Vehicle Seat Suspension Optimized by Genetic Algorithm

Aiming to solve the shortcoming of the LQR when used for vehicle suspension, the genetic algorithm is designed to optimize it. By defining the chassis performance indexes, the genetic algorithm utilizes the global optimization algorithm to design the weight matrices. This method is used to improve the efficiency and control performance of the LQR controller. Then a simulation experiment is provided for the vehicle seat suspension. The simulation results show that the performances of the actively controlled vehicle suspension optimized by the genetic algorithm, such as the vertical acceleration of seat, the dynamic displacement of the seat suspension and the tire are greatly improved, compared to the passive seat suspension. The problem of deciding the weight matrices is solved.