Optimal gain tuning of integral state feedback in electromagnetic suspension system using genetic algorithm

In this paper genetic algorithm method is employed to optimal tuning of integral state feedback gains for the suspension system. For this purpose, the optimal feedback gains are determined using classical method to provide proper steady state and dynamic system performance as well as ride comfort. The genetic algorithm method is then used to modify these gains in the presence of integral controller. The electromagnetic suspension system under the proposed control method is simulated. The results prove the capability of the control in providing robust system performance against variation in load and system specifications.