Optimization Design of LQR Controller Based on Improved Whale Optimization Algorithm

Abstract

Whale optimization algorithm (WOA) is a typical swarm intelligence algorithm. It has been applied to many different optimization problems due to its advantages of simple structure, few parameters and strong optimization ability. However, it has not been used in the optimization of LQR controller. In this paper, we apply the mproved WOA to this problem. It is compared with the traditional optimization algorithm (Particle swarm optimization, genetic algorithm, Grey Wolf optimization algorithm). Experimental results show that the improved WOA performs well in the optimization of LQR controller.