Open AccessPSO algorithm tuning PI_ PID controller parameters of quad-rotor UAV
Author(s) -
Xuedong Jing,
XuFei Wang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2228/1/012017
Subject(s) - pid controller , overshoot (microwave communication) , control theory (sociology) , particle swarm optimization , rotor (electric) , controller (irrigation) , computer science , control engineering , algorithm , engineering , control (management) , temperature control , artificial intelligence , mechanical engineering , telecommunications , agronomy , biology
Aiming at the difficulty in tuning the parameters of the quad-rotor UAV PID controller, the paper uses the PSO (Particle swarm optimization) algorithm to intelligently optimize the PID controller parameters of the quad-rotor UAV. The paper proposes to set the fitness function of the PID controller’s PSO algorithm with the controller’s adjustment time and overshoot. The PSO algorithm is a kind of bionic algorithm that birds are not. It can iterate through a huge number of particles and after a specified number of iterations, and finally find the method of the global optimal solution. In this paper, the attitude control of the pitch direction of the quad-rotor UAV is tested. In order to meet the control accuracy of the quad-rotor, the PI_PID controller is used as the attitude control of the pitch in the experimental part. The PSO algorithm can be used to quickly tune the parameters of the quad-rotor UAV PID controller. The PID controller tuned by the PSO algorithm has a shorter adjustment time and lower overshoot. It can make the attitude of the quad-rotor, have better control effect.