Unmanned aerial vehicle speed control simulation study based on fuzzy PI double closed loop control

Objective Fuzzy PI closed loop control algorithm was studied for constant speed demand in agricultural unmanned aerial vehicle (UAV) operations.

Method The principle and structure of the UAV electrical control system was analyzed in this paper. According to the requirement of electrical control system for brushless direct current motor (BLDCM) speed adjustment, the simulation model of BLDCM control system was established in Matlab/Simulink software environment. Double closed loop control of speed and current was applied with fuzzy PI speed control and current hysteresis control. Simulation analysis was conducted with defined systematic parameters. The ARM circuit simulation board was built to verify the effectiveness of the algorithm.

Result Simulation results proved that the BLDCM control system had improved response speed, reduced overshoot, and higher anti-disturbance capacity with fuzzy PI control. In addition, the dynamic behavior and robustness ability of the system were improved as well.

Conclusion This study proves effectiveness of the fuzzy PI closed loop contriol algorithm and provides theoretical reference for real UAV control system design and debugging.