基于RLS系统辨识和改进模糊PID的纱线张力控制OA

In order to solve the problem of yarn tension fluctuation during weaving,an improved fuzzy PID control algorithm integrated with recursive squares(RLS)system identification was proposed.Firstly,the transfer function of the warp system was identified by the RLS algorithm to solve the problem of difficult in establishment the warp system mathematical model.Then,the improved sparrow search algorithm(ISSA)was used to optimize the fuzzy rules and membership functions of the PID controller to improve the system control accuracy.The experimental results showed that in the yarn tension control system,the proposed control algorithm can reach stable yarn tension within 0.6 s,which was 0.8 s,0.1 s and 0.3 s shorter than traditional fuzzy PID(FUZZY-PID),genetic algorithm optimized fuzzy PID(GA-FUZZY-PID),and sparrow search algorithm optimized fuzzy PID(SSA-FUY-PID),respectively.Additionally,the overshoot was reduced by 0.33 percentage points and 0.27 percentage points compared to FUY-PID and SSA-FUZZY-PID,respectively.It is considered that the fuzzy PID control algorithm based on RLS identification and ISSA optimization could effectively improve the yarn tension fluctuation problem during weaving,enhance the stability and dynamic response of the system.