Application research on fuzzy-PID control yarn tension based on FPGA

JIANG Chun-guang， DONG Lin-xi
（Key Lab of RF Circuit and System， Ministry of Education， Hangzhou Dianzi University， Hangzhou 310018， China）

Abstract： In order to solve the problems of real-time control of yarn tension in textile industry, the model of parameter self-tuning fuzzy PID control method was investigated based on the advantages of fuzzy PID control. The simulation model including the parameter self- tuning fuzzy PID control model and the traditional PID control model was established in Matlab software. A method was presented to build a model combined with principle diagram, VHDL design parameters and self-tuning fuzzy PID controller in Quartus II development environment. The performance was evaluated on the field-programmable gate array（FPGA）, and the output data correspond with input was tested. The experimental results show that the parameter self-tuning fuzzy PID control model can reach a stable state much faster, it's overshoot is smaller, and top-level circuit design is stable and reliable, it can be used to control the yarn tension.
Key words： yarn tension；Matlab；field-programmable gate array（FPGA）；self-tuning fuzzy PID controller