Research on Cabin Temperature Control of UAV Based on Fuzzy PID Controller

This research paper discusses a strategy to achieve a steady temperature control of the cabin of an unmanned aerial vehicle (UAV) by means of fuzzy PID control. By making the cabin move alternately in low temperature (-10℃) and room temperature (25℃) environments, the motion of the vehicle between clouds of different temperatures is simulated. The experiments show that the improvement of the PID control algorithm by combining the fuzzy control technology can effectively improve the adaptivity and stability of the system. The method has a good application prospect in the anti-deicing technology of UAVs and improving the stability of UAVs in low-temperature environments.