A Research on Information Collection Method for High-Precision Temperature Based on PLC Control

For the traditional PID algorithm, it is difficult to give a precise mathematical model which makes parameters setting of PLC temperature control system difficult. At the same time there are some defects in the system control, resulting in low system security, reliability and control quality. In order to solve the problems of the traditional algorithms, this paper proposes an information collection algorithm for temperature denoising based on high-precision PLC control, which is a combination of the PID algorithm, fuzzy control algorithms and neural network algorithm. Experiments show that the algorithm is effective to achieve the parameters self-tuning of PID, increase the accuracy of the temperature control, and are practical in the PLC temperature control system.