Improvement of surface temperature control system based on fuzzy adaptive PID algorithm

The thermostatic control system of traditional dough mixer has weak adaptive ability and large overshoot. In order to improve the self-adjusting ability of the constant temperature control system of the dough mixer, we have carried out many experimental analyses and finally come to the conclusion that the fuzzy self-adaptive PID algorithm can effectively improve the constant temperature system of the dough mixer. Traditional PID algorithm is composed of proportional unit P, integral unit I and differential unit D. Once the parameters P, I and D are established, they cannot be changed. Therefore, this algorithm has a weak adaptive ability and cannot be changed according to the environment. The fuzzy adaptive PID algorithm used in this paper refers to the input error e(t) and error change rate ec(t). Fuzzy reasoning is carried out by using fuzzy rules, and the fuzzy matrix table is consulted to meet the adaptive adjustment of PID parameters at different times, so as to achieve the adaptive PID algorithm. For the temperature control system of dough mixer, PID algorithm and fuzzy adaptive PID algorithm are used to construct the constant temperature system respectively. Based on the specific environment of the dough mixer, after three times of comparative experimental analysis, the final conclusion is that the fuzzy self-adaptive PID algorithm overshoot is small, which can reach the stable range faster, and the accuracy is improved by 0.6% compared with the traditional PID algorithm.