High Performance Servo Motion Controland Its Application To Cnc Systems

High-speed high accuracy motion control is recognized as one of the most important areas in manufacturing, which is the kernel technique in high-speed machining center laying an important role in increasing the productivity and quality of manufacturing. The numerical control (NC) system is increasingly widely used in the industrial equipment, and it is the core and key technology of the modern industrial equipment. The stability,rapid and accuracy of itself have a direct impact on the performance of the whole industrial equipment. NC system is a complex mechanical and electronic integration system, its disturbance, nonlinearities and unmodeled dynamics have the direct influence on its performance. Therefore, in order to further enhance the NC system performance to meet the higher demands of the modern industrial equipment, we must consider the disturbance, nonlinearities and unmodeled dynamics. So the study has the very great theoretical and practical significance.The thesis takes the NC servo feeding system as object of analysis and study. According to the idea of synthesizing the error avoidance and error compensation to research, the principle of designing disturbance observer is described and its stability is analyzed .An anti-Disturb state feedback controller is proposed to solve the problem in which most of the existing anti-windup schemes. The main problem is the improvement of the precision of grey model . A new weighted modeling algorithm is presented and the weight value learning algorithm is solved, another integrated modeling method is also presented. Two models can improve the precision compared to the traditional algorithm. By using the method of dynamic analysis of origin neighboring region, the condition and the number of critical steps while no oscillating occurred in time delay systems are obtained. The two important conclusions can offer significant theoretical basis for the parameter design in gray predicative controller. A Fuzzy-Neural Network-Gray predictive control algorithm for large time delay system and an integrated predictive control algorithm for the system with ullknown delay time are presented.According to the NC servo feeding system in the working of the actual situation, in order to prove the control effect and the resistance to interference of the Fuzzy-Neural Network-Gray controller, this thesis carries on the simulation and the experiment by the MATLAB and the X-Y NC feeding bench. The results showed, the Fuzzy-Neural Network-Gray controller can effectively decouple the strong disturbance, nonlinearities and dynamic unmodeled for servo feeding system; it can further enhance the steadily, rapid, accuracy performance of the NC system and has the strong robustness and resistance to interference.