The Research On High Speed And High Precision Numerical Control Air Covered Yarn

With the development of the textile industry greatly, people have more pursuit of fashion, covered yarn machine equipment are high demanded at home and abroad. People are keen to pursue high efficiency, high quality and high intelligent coated yarn machine. In modern times, ordinary mechanical control system has been unable to meet the needs. The paper which produces high speed and precision air covered yarn machine is a kind of fully electric, high-speed device, the integrated control system of servo technology and sensor technology. So, the reliable and stability of the control system is the current urgent problem to solve. With high speed and high precision air covered yarn machine traverse servo system of high speed and high precision and constant tension winding problem of winding system has important practical value. The paper first analyses the system of high speed and high precision, then propose the technical difficult problem of control system. Building an embedded controller(CX1020) and LS Mecapion(L7N) for identification experiment platform, system identification is applied to traverse servo system and tuning the parameters of PID controller.At last fuzzy adaptive PD algorithm is using in winding tension control system. This topic is of science and technology plan projects are supported by zhongshan city, Guangdong province, the main contents are as follows.First of all,the paper analyses the requirements of high speed and high precision control system and propose control system solutions. The article analyses the key problem of control system—the rapid response of Traverse servo system, high speed and high precision and constant tension control problems with theory and put forward the solutions. planning a s-shaped movement curve, making the system more smooth and maintaining fast responsive--nessSecondly, to obtain the accurate mathematical model of the controlled object, the paper analyses the traverse servo system and put forward five order model. Based on Ether CAT bus,Setting the recognition experiment platform, Using improved particle swarm algorithm to traverse servo system identification. After obtaining the model by the system identification and comparing with the experimental results, the position error within ?4.0rad, the scope of the results verify the validity of the model identification. After obtaining the exact mathematical model, constructing position closed-loop control system. The paper use traditional algorithm Z-N and improved particle swarm optimization(PSO) algorithm tuning traverse servo system position loop PID parameters. Comparing the results of two algorithms and finding that the intelligent algorithm of setting parameters of the PID controller is better, and also avoid the engineering experience, reduce the threshold, greatly improving the efficiency.Finally, in order to solve the problem of constant winding tension,and because the winding system is complexity and degeneration, being unable to establish a precise mathematical model, So In this paper, the fuzzy adaptive PD algorithm is adopted to winding tension control system. To put forward the key issues in the previous chapter, the paper do experiment through constructing experiment platform and the experimental results show that the theoretical analysis and practical is accurate.