基于自適應(yīng)補(bǔ)償?shù)牟顒?dòng)式微進(jìn)給系統(tǒng)研究
[Abstract]:With the rapid development of microelectronics, communication, spaceflight and bioengineering, the precision of precision machine tools is becoming more and more important. Among them, micro-feed table system is one of the important parts of precision machine tool processing, and has become a hot research direction. The developed micro-feed system often realizes a single technical index and can not be widely used in practical engineering. The research work of this thesis is as follows: develop a set of differential micro-feed experiment bench system, 3D modeling and simulation, detect and calibrate the system error under open loop, analyze the error compensation method of sampling double closed loop. The adaptive compensation method based on error modeling and differential control is studied to realize dynamic error compensation. In this paper, the current research situation of micro-feed system at home and abroad is reviewed, and the characteristics and development trend of various micro-feed systems are discussed. Through the analysis and comparison of various large-stroke ultra-precision positioning systems, according to the principle of low cost and high speed, The design scheme of the motion control card, AC servo motor plus differential superposition NC worktable is determined. The corresponding software and hardware are designed, and the system is installed and debugged. Secondly, the characteristics and error law of ball screw pair are expounded, the mechanical characteristics and dynamic and static characteristics of servo feed system are analyzed, the mathematical model of differential micro-feed system is studied, and the three-dimensional model is established by using Solid Works software. The simulation results of Adams motion under a single friction factor are discussed. Then, the source, influencing factors and compensation method of the positioning error of the system are analyzed, and the compensation principle of the sampling double closed loop is studied. The experimental results show that the compensation method of the sampling double closed loop can effectively improve the static positioning accuracy of the system. Finally, the problem of dynamic error compensation is discussed. Based on the analysis of common error dynamic compensation methods, an adaptive compensation method combining error modeling and differential control is considered. The error modeling method based on grey theory requires less statistical data and less calculation, so it can effectively predict the system error and control the system differential by software program. The table can quickly compensate the system error according to the predicted path in the range of the best speed of the motor and realize adaptive compensation. Through theoretical research and experimental analysis, the adaptive compensation method based on error modeling and differential control can realize dynamic error compensation and improve system precision and sensitivity effectively. This method has the advantages of low cost and strong practicability. There is no need to establish complex mathematical model and compensation model, which provides an effective method to improve the accuracy of engineering application. Different structural designs and appropriate compensation methods can be applied to meet the dual requirements of the whole system for high precision and large stroke under the existing conditions. It also provides a new way of thinking for the design of micro feed mechanism.
【學(xué)位授予單位】:上海工程技術(shù)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:TG502.3
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