Research on glove adaptive temperature regulation based on Fuzzy PID

Aiming at the influence of driving speed, air temperature, wind speed and other nonlinear factors on driving, the traditional PID has poor ability to adjust adaptively temperature, which it is difficult to meet the needs of self-adaptive temperature adjustment about the electric vehicle gloves. So a temperature control and thermal insulation system based on adaptive fuzzy PID for electric vehicle gloves is designed in this article. According to the fuzzy rule, the error and the rate of error change between the actual temperature and the set value of gloves are deduced, the increment ΔKp, ΔKi, ΔKd of Kp, Ki, Kd are obtained, then the PID control parameter Kp, Ki, Kd can be further adjusted to meet the needs of adaptive adjusting gloves temperature in different environments. The system adopts STM32F103C8T6 micro controller, voice recognition and player module, human body induction module and other sensors for hardware design, software design and experimental verification. Experimental result shows that contrasting the traditional PID control system the design in this paper significantly improves the temperature control accuracy of electric vehicle gloves, with less overshoot and stronger robustness. It is great significance to improve the reliability of the real-time temperature control system in different environments and the comfortable sensation of wearing for electric vehicle glove.