A comparative study of the optimal control design using evolutionary algorithms: Application on a close-loop system

Abstract

This paper considers the design of two controllers for a non-linear system, both of which are optimized by evolutionary algorithms (EAs). The first controller is an optimal non-linear state feedback control. This controller is optimized using EAs that aim to improve system stability and minimize the cost function. The second controller is a PID controller that is tuned using EAs. The two controllers are evaluated based on their performances when applied to a four-bar linkage mechanism. The experimental results show that the optimal non-linear state feedback controller enhances the performance of the closed loop system under specific conditions.