Temperature Control Method of Long Storage Environment Based on Fuzzy Neural Network PID

Aiming at the problem that traditional PID control has poor effect on meeting the temperature control accuracy of long storage environment, an adaptive PID control algorithm based on fuzzy neural network is proposed in this paper, which can perform the effective control of nonlinear systems with large time delay. Firstly, the basic function and control principle of long storage environment measurement and control system are expounded, and the control object transfer function of nonlinear system with large time delay is constructed. Meanwhile, a fuzzy neural network adaptive PID controller is designed to complete the real-time identification of RBF network and the online adjustment of PID parameters. Then, the temperature control model of long storage environment measurement and control system under interference and periodic signal is constructed based on Matlab/Simulink virtual test platform. The simulation results show that the temperature control method with fuzzy neural network adaptive PID controller in this paper has certain advanced and pretty robustness.