Intelligent Measurement And Control Arithmatic Investigation Of NC Machine Tool Servo System

NC machine is indispensable and critical equipment in modern mechanical machining and its machining accuracy has a great effect on the production quality. Since the machining process is quite complicated and there are many factors exerting influences on the process such as transient parameter variation, load disturbance, non-linearity of AC servo step-motor and high coupling and so on, the more effective control strategy of the servo system is requested.The structure and classification of the servo system for NC machine is first presented in this paper and then the mathematical model of the servo system is established. Based on the mathematical model fuzzy control method for promoting the accuracy of positioning servo system is studied. The positioning control algorithm is first proposed. Conventional fuzzy controller, which replaces traditional PID position controller, is designed. Therefore, the self-adaptive fuzzy controller is designed that on-line adjusts control query table of conventional fuzzy controller using single neuron. The controller combines the single neuron that can study by itself and the fuzzy control that can take good use of the human knowledge. This method improves the characteristic of the system efficiently.In order to solve the problem of how to take into account the influence of friction on the accuracy of the servo system, friction characteristic is analyzed firstly and friction compensation approach based on the concept of intelligent control is put forward. This method can conquer the influence of the uncertain rules which improve the robustness of the system. The static precision is heightened through an integral part. Finally partial algorithm is programmed using the language named VB. The simulation results indicate that these two algorithms possess higher control accuracy and robust performance.