Design and Application of Temperature Control System Based on Fuzzy PID Algorithm

Abstract

In order to improve the control accuracy, response speed, anti-interference ability and adaptive ability of the temperature control system in the PCR amplification reaction stage during the detection of African swine fever (ASF) virus, a temperature control system based on fuzzy PID control algorithm was designed. The system combines the fuzzy theory with the traditional PID control theory, which makes up for the shortcomings of the traditional PID algorithm, such as difficulty in parameter tuning, slow response speed, and weak self-adaptive ability. The mathematical model was established and tested by MATLAB software. At the three temperatures of 25°C, 64°C and 85°C required by the PCR amplification reaction, the time taken by the fuzzy PID control algorithm to reach the target temperature was shortened compared with the traditional PID control algorithm. More than 32s, and the recovery time is more than 23s after adding external interference, which meets the requirements of temperature control accuracy, response speed, anti-interference ability and adaptive ability required by PCR reaction in the process of African swine fever (ASF) virus detection. The results highlight the fuzzy Compared with the traditional PID control algorithm, the PID control algorithm has the advantages of temperature control.