Design of LQR controller based on particle swarm optimization algorithm for aircraft test simulation attitude control system

Abstract

A mathematical model is established for the self-designed vehicle test simulation attitude control system. On the basis of designing LQR controller based on linear quadratic optimal control method, Particle swarm optimization is used to optimize the parameter matrix of LQR controller. In order to stabilize the attitude control of the aircraft, reduce the response time and frequency of the system. Simulation experiment proves: The stability of the system is improved by the optimized LQR controller using particle swarm optimization, got a good control effect, it has high practical application value.