Comprehensive modeling for simulation and control of a single axis high precision positioning system

In this paper, a high precision positioning system identification is studied and analyzed to obtain a suitable model for simulation and control. The selected model must capture most of system dynamics. Second order system model with one pole at the origin proves to be a good selection. System's friction nonlinearity is considered as well; Both LuGre and Stick-Slip friction models were simulated and tested experimentally. The later proves to be more accurate. Computer simulation and experimenting with the high precision positioning system verify that the obtained model is reliable and can be used in control application.

[1]  M. Tomizuka,et al.  Neural network based friction compensation in motion control , 2004 .

[2]  Wen-Fang Xie,et al.  Sliding-Mode Observer Based Adaptive Control for Servo Actuator with Friction , 2007, 2007 International Conference on Mechatronics and Automation.

[3]  T. Tjahjowidodo.  Characterization, Modelling and Control of Mechanical Systems Comprising Material and Geometrical Nonlinearities , 2006 .

[4]  Frank L. Lewis,et al.  Reinforcement adaptive learning neural network based friction compensation for high speed and precision , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[5]  Jong-Hwan Kim,et al.  Robust adaptive stick-slip friction compensation , 1995, IEEE Trans. Ind. Electron..

[6]  Carlos Canudas de Wit,et al.  A new model for control of systems with friction , 1995, IEEE Trans. Autom. Control..

[7]  Anirudha Narain,et al.  Friction compensation using neural networks applicable to high precision motion control systems in manufacturing , 2005, INDIN '05. 2005 3rd IEEE International Conference on Industrial Informatics, 2005..

[8]  Indra Narayan Kar,et al.  Adaptive stick-slip friction compensation using dynamic fuzzy logic system , 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

[9]  Rong-Fong Fung,et al.  Dynamic modeling of a high-precision self-moving stage with various frictional models , 2008 .

[10]  I. Baruch,et al.  A multi-model parameter and state estimation of mechanical systems , 2000, ISIE'2000. Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (Cat. No.00TH8543).

[11]  Masayoshi Tomizuka,et al.  Robust motion controller design for high-accuracy positioning systems , 1996, IEEE Trans. Ind. Electron..

[12]  In-Joong Ha,et al.  A learning approach to tracking in mechanical systems with friction , 2000, IEEE Trans. Autom. Control..

[13]  Wahyudi,et al.  A robustness comparison of two friction compensation method for PTP positioning systems , 2002, 2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02..