PID control strategy for UAV flight control system based on improved genetic algorithm optimization

The design objectives of PID controller is to choose the reasonable parameters which can make the system meet the design requirements. Specific to the problem of the controller parameter optimization of flight control system, the classic tuning method of PID controller parameters is cumbersome and need repeating trial. What´s more, the controller parameters cannot be guaranteed to be optimal. Therefore, in this paper, the genetic algorithm was introduced into the control problem of small unmanned aerial vehicle (UAV), namely, an improved genetic algorithm to optimize the controller parameters. And then the results obtained were compared with the conventional PID control method. Through MATLAB simulation, the results show that the optimization strategy can adjust the parameters of the flight control system effectively and have the advantage of fast convergence rate and high setting accuracy.