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High Performance Servo Motion Controland Its Application to CNC Systems

Author: ZhouXiSheng
Tutor: JiangPeiGang
School: Qingdao Technological University
Course: Mechanical Design and Theory
Keywords: CNC system High-performance control Disturbance Observer Gray prediction control Error Compensation Technology Fuzzy Neural Network
CLC: TG659
Type: Master's thesis
Year: 2008
Downloads: 59
Quote: 0
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Abstract


The high-speed high-precision motion control is one of the important research areas of modern machine-building industry, is the heart of the high-speed machining center, has a very important role to improve production efficiency and product quality. CNC systems become more widely used in industrial equipment, has now become a core part of the modern industrial equipment and key technologies, and its stability, rapidity, accuracy directly affects the performance of the industrial equipment package. CNC system is a complex mechatronic systems, the presence of perturbations, nonlinear, model and parameter uncertainty directly affects the stability of the numerical control system, fast, accurate. Therefore, in order to further improve the performance of the CNC system, modern industrial equipment to meet the increasing demands made by the CNC system, it is necessary to consider the system disturbance, nonlinear and parameter uncertainty. Therefore, the study of this issue is very important theoretical and practical significance. CNC servo feed system for the study avoided, in accordance with the error and error compensation control strategy - based on the disturbance observer servo control algorithm and the relative time delay the FNNG servo control algorithm to further improve the system performance NC feed servo system. Disturbance observer feedforward controller and feedback controller design method. An anti-interference of the state feedback controller design method. For FNNG mixed forecast controller design, to clear improve the accuracy of the prediction model is the primary issue; weighted modeling algorithm and a comprehensive predictive model, both models and general gray model greatly improved accuracy compared, and combine the ideas of intelligent information processing and gray modeling; containing gray prediction controller time delay in the the gray system dynamic analysis, the dynamic behavior of the system were analyzed and several conclusions of the theory and use value ; last proposed hybrid forecasting system Fuzzy-Neural Network-Gray delay control. According to the actual situation of the servo feed system in the actual work process, using MATLAB software and XY two-dimensional the NC feed bench predictive controller Design Fuzzy-Neural Network-Gray effect and anti-jamming performance simulation and experimental validation The results show that this study FNNG hybrid predictive controller for nonlinear servo feed system to further improve the stability of the numerical control system, fast, quasi-performance, robustness and anti-interference performance.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal cutting and machine tools > Program control machine tools, CNC machine tools and machining
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