Double-integrator control for precision positioning in the presence of friction

In order to achieve good performance in precision positioning systems where friction is present, a straightforward approach is using single-integrator controllers to suppress the effect of friction. In this paper, double-integrator (DI) control, in which two integrators are involved, is proposed to enhance controller gain at lower frequencies. A new integral anti-windup scheme is developed for the DI control and is shown to be effective. Performance of a DI controller is compared with that of a proportional-integral-derivative controller (I-PD) and a pole-placement-with-integration controller (PPI) by experiment on a slide system driven by a dc motor. In the system, the dc motor has brushes that give rise to friction, and all other frictional contacts are removed by frictionless aerostatic support. Because of the unmodeled high frequency dynamics caused by aerostatic dynamics, closed-loop bandwidth with the I-PD controller is limited at a lower value than in the cases with the DI and PPI controllers. With the three controllers having parameters for similar closed-loop bandwidths, the DI controller gives uniform closed-loop responses to step inputs of different heights, while for the other two controllers the responses are obviously dependent on the height of the step inputs.

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

[2]  Akira Shimokohbe,et al.  Ultra Precision Positioning using Air Bearing Lead Screw. , 2000 .

[3]  Laura E. Ray,et al.  Adaptive friction compensation using extended Kalman–Bucy filter friction estimation , 2001 .

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

[5]  Akira Shimokohbe,et al.  Precision positioning of a DC-motor-driven aerostatic slide system , 2003 .

[6]  Pierre E. Dupont,et al.  The Effect of Friction on the Forward Dynamics Problem , 1993, Int. J. Robotics Res..

[7]  Paul I. Ro,et al.  Robust friction compensation for submicrometer positioning and tracking for a ball-screw-driven slide system , 2000 .

[8]  Frank L. Lewis,et al.  Reinforcement adaptive learning neural-net-based friction compensation control for high speed and precision , 2000, IEEE Trans. Control. Syst. Technol..

[9]  Antonio Visioli,et al.  Adaptive friction compensation for industrial robot control , 2001, 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556).

[10]  Suhada Jayasuriya,et al.  Feedforward Controllers and Tracking Accuracy in the Presence of Plant Uncertainties , 1995 .

[11]  D. P. Atherton,et al.  An analysis package comparing PID anti-windup strategies , 1995 .

[12]  Paul I. Ro,et al.  Model Reference Adaptive Control of Dual-Mode Micro/Macro Dynamics of Ball Screws for Nanometer Motion , 1993 .

[13]  Jong-Hwan Kim,et al.  Friction Identification Using Evolution Strategies and Robust Control of Positioning Tables , 1999 .

[14]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[15]  S. Futami,et al.  Nanometer positioning and its micro-dynamics , 1990 .

[16]  Carlos Canudas de Wit,et al.  Friction Models and Friction Compensation , 1998, Eur. J. Control.

[17]  C. Chao,et al.  Model reference adaptive control of air-lubricated capstan drive for precision positioning , 2000 .