Application of Fuzzy PID Control Algorithm Based on Genetic Self-tuning in Constant Temperature Incubator

In order to solve the problem of low response speed, large overshooting, low uniformity and large fluctuation of temperature control, in this paper, a set of high precision temperature control system based on fuzzy PID is designed for the occasion of high temperature control accuracy. The genetic algorithm is used to automatically set the initial value of PID parameters, meeting precise control requirements of different temperature settings. Aiming at the problem of overshoot and fluctuation, an improved integral separation PID controller is designed. In addition, for the requirement of fast heating rate, fuzzy switching algorithm is adopted to realize the fuzzy PID compound control, which ensures the quickness and eliminates the steady-state error. The feasibility of above algorithm is verified by simulation and comparative analysis. Finally, the algorithm has been applied to the incubator with an accuracy of ±0.1 °C. The experimental results indicate that the method not only has faster dynamic response speed, but also stronger robustness and higher control accuracy.