Study On Textile Machinery Special AC Servo Position Control Strategy

As the development of microprocessor technology and modern control theory, AC servo position control technology is becoming more and more important in the textile machinery, and its performance is also been required more and more high. At present, in the general textile industry, the special position controller is used very fewer, and universal servo control chip or movement control CARDS with position control are used more. For AC servo position control system is a nonlinear, strong coupling and time-varying system, so in order to meet the high quality and high speed textile production requirements, servo position control must develop towards the direction of high speed and high precision. And performance quality of the position control system is closely related to its control strategy. In the same conditions of hardware, a good control strategy can not only make up for the lack of the hardware design, but also to reduce the system control error and improve its position control accuracy is extremely important. According to the disadvantage of traditional control algorithm in nonlinear servo system, this paper takes the tracking error and contour error in the position control as the controlled object and put forward a few control algorithms based on the modern intelligent control.The paper first introduces the structure, characteristics and performance index of AC servo position control system, and based on this builds the mathematic model of the system; Then the formation mechanism of tracking error and contour error in the control process is analysed and the corresponding control strategies are put forward. In the paper, a textile machinery specific control platform based on STM32+FPGA is built, and through four times frequency and electronic gear with the feedback signal to improve the location accuracy and tracking precision of position control.According to the lack of traditional PID in the single axis AC servo position control, a tracking error compound control strategy based on the neural network is put forward. This algorithm integrated neural network’s model identification ability and feed-forward compound control’s anti-disturbance compensation ability to reduce the tracking error of single axis and improve the dynamic characteristics of single axis. The algorithm is simulated in MATALAB and analysed. Multi-axis position control system’s contour error control can be divided into the not coupling coordination control and the coupling coordination control. The cross coupling control algorithm with contour error as direct control target is introduced, and analysis and put forward the cross coupling control algorithm based on the traditional PID existing the lack of parameters difficult to be set. On this basis, the cross coupling control algorithm based on the fuzzy adaptive PID is researched and simulated in this paper, and from the simulation results we can see that this control method is superior to the not coupling control and the traditional coupling PID control. Finally, this paper introduces the algorithms’s application in the typical textile position servo control system-round nets printing machine control system.The control algorithms put forward in the paper, by theoretical analysis and MATALAB simulation are proven to be accurate, speed and feasible.