Research On Control System Of The Camera Type Weft Insertion Device

With the improvement of people’s living standards, people are increasingly demanding requirements of the textile. In the process of textile production, weft is an important factor influencing the quality, so the skew control has become a research topic of the textile industry at home and abroad.Firstly, this thesis introduced the performance indicators of the system and implementation functions, and on this basis, a camera system design of the weft is proposed. Secondly, a hardware control system based on STM32F103ZET6 as the core processor is designed, and related peripheral circuits including chip core circuit: TFT-LCD interface circuit, motor driver circuit; Finally, a software idea is presented using a combination of structured and modular, which include the main program, communication systems, A/D conversion, TFT-LCD display, motor control module. At last, to improve the accuracy of the weft, the actuator with three straight roller and two bending is designed.Finally, camera weft control system is a kind of complex system which is nonlinear and time-varying and delay, the existing fuzzy PID controller is difficult to obtain satisfactory results. Aiming camera weft, a fuzzy PID control based on improved genetic optimization algorithm is presented and a weft camera controller is designed in this thesis. First camera weft system model based on fuzzy PID control is built, then it uses Adaptive genetic algorithm for parameter optimization of fuzzy PID and introduces Smith estimation for dynamic compensation of the hysteresis, implementing effective skew correction. This controller is fully taking advantage of the algorithm for Adaptive genetic algorithm and Smith, optimizing PID controller parameters, which can obtain efficiently controlled parameters. Experimental results show that the controller has better dynamic response characteristics, system response speed and reduce overshoot and robustness, achieving ideal control effect.