Abstract：Because of the computation quantity is increased in the food processing temperature control by using the traditional algorithm, which reduces the real-time performance of constant temperature control. In order to solve the above problems, a method of constant temperature control in food processing based on Optimization PID (proportional-integral-derivative, PID) is proposed. The control parameters of PID are optimized by BP neural network model, which can get the optimal initial PID control parameters. In the process of temperature regulation, the feedback regulation parameters are calculated. The temperature changes in the process of food processing are fed back to the PID input. The results of simulation experiment shows that the method proposed in this paper can be used in the process of constant temperature control in food processing, and it can reduce the overshoot and shorten the control time. The results are satisfactory.
李勇. 基于优化PID的食品加工恒温控制研究[J]. 电气技术, 2015, 16(12): 76-80.
Li Yong. Study on Temperature Control in Food Processing based on the Optimization PID Method. Electrical Engineering, 2015, 16(12): 76-80.
2015, Vol. 16 
