Application of improved PSO in PID parameter optimization of quadrotor

In the quadrotor control, the largest and most mature arithmetic is the PID controller. PID control is simple and good robust algorithm, adjust the quality of PID parameters directly determine control effect. The PID parameters adjust manual debugging using trial and error method, this testing method have heavy workload[1], time-consuming and difficult to reach a good control. This paper introduces a simple particle swarm optimization(sPSO) method to adjust the PID parameters, the sPSO algorithm can quickly and accurately find the optimal parameters solutions, through simulation comparison show that this method can have greater flexibility, robustness and adaptability and can improve the control precision. So the control system has good practical value.