Modeling and Simulation of NC Precision Sphere Grinding Machine Feed Drive System

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The feed drive system model of NC precision sphere grinding machine (MD6040) is constructed. Although a large number of researchers pay more attention on advanced controllers, most high performance machine tools still adopt PID (Proportion Integration Differentiation) controller today. In this paper, PDF (Pseudo-Derivative Feedback) controller and PDFF (Pseudo-Derivative Control with feedforward Gain) controller which evolved from PID controller are studied. The performance of PID controller, PDF controller and PDFF controller is investigated by simulation and experiment. Both simulation results and experiment results showed that PID controller has severe overshoot and less rise time, PDF controller has strong robustness and long rise time and PDFF controller possesses the advantages of the other two controllers. PDFF controller is more suitable for NC precision sphere grinding machine feed drive system.

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585-589

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. Ebrahimi and R. Whalley. Analysis, modeling and simulation of stiffness in machine tool drives. Computer & Industrial Engineering, Vol. 38( 2000), pp.93-105.

DOI: 10.1016/s0360-8352(00)00031-0

Google Scholar

[2] G. Younkin. Modeling machine tool feed servo drives using simulation techniques to predict performance. Industry Applications, Vol. 2(1989), pp.1699-1706.

DOI: 10.1109/ias.1989.96870

Google Scholar

[3] J.M. Zuo, B.S. Wang, M.L. Wang. Analysis and feedforward compensation control of stiffness in a CNC machine tool feed system. Mechanical science and technology for aerospace engineering, Vol. 27(3)(2008), pp.386-394.

Google Scholar

[4] B.T. Liu, S.K. Cheng. Stepping motor and its driving control system. Ha Erbin: Ha Erbin Institute of Technology Press, (1997).

Google Scholar

[5] K.F. Martin, M Ebrahimi. Modelling and simulation of the milling action. IMechE, Part B: Journal of Engineering Maufacture, Vol. 213(1999), pp.539-554.

Google Scholar

[6] D.Y. Ohm. Analysis of PID and PDF compensators for motion control systems. Industry Applications Society Annual Meeting, (1994), p.1923-(1929).

DOI: 10.1109/ias.1994.377694

Google Scholar

[7] Z. Nagy, A. Bradshaw. Comparison of PI and PDF controls of a manipulator arm. UKCC International conference on control. Vol. 455(1998), pp.739-744.

DOI: 10.1049/cp:19980321

Google Scholar

[8] Y.Q. Liu, Q. Wu. The study on an improved PDF controller and its application in high order follow up system. Proceedings of the Eighth International Conference on Machine Learning and Cybernetics. (2009), p.2015-(2019).

DOI: 10.1109/icmlc.2009.5212169

Google Scholar