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JACIII Vol.11 No.9 pp. 1062-1071
doi: 10.20965/jaciii.2007.p1062
(2007)

Paper:

Comparison of Fractional Robust- and Fixed Point Transformations- Based Adaptive Compensation of Dynamic Friction

József K. Tar*, Imre J. Rudas*, and Béla Pátkai**

*Institute of Intelligent Engineering Systems, John von Neumann Faculty of Informatics, Budapest Tech, H-1034 Budapest, Bécsi út 96/B, Hungary

**Distributed Information and Automation Lab, Department of Engineering, University of Cambridge, Mill Lane, Cambridge CB2 1RX, UK

Received:
March 15, 2007
Accepted:
June 14, 2007
Published:
November 20, 2007
Keywords:
robust control, variable structure / sliding mode control, adaptive control, fixed point transformations, iterative control
Abstract

The features of fractional order robust and fixed-point transformation based adaptive controllers of a “Ball-Beam System” are compared to each other. The speciality of this task is that the position of the ball along the beam is indirectly controlled via directly controlling the other axis, the tilting angle of the beam. It is assumed that this tilting axle suffers from considerable dynamic friction mathematically approximated by the LuGre model. By neglecting the internal physics of the tilting drive this system can be modeled as a 4th order one because only the 4th time-derivative of the ball’s position can directly be influenced by the tilting torque. The system also has saturation since the available acceleration of the ball is limited by the gravitation. It is shown that little reduction of the order of the differential equation controlling the decay of the error metrics in a Sliding Mode / Variable Structure controller considerably improves the robust controller. However, really precise solution can be obtained by the adaptive controller. These statements are illustrated and substantiated via simulation.

Cite this article as:
József K. Tar, Imre J. Rudas, and Béla Pátkai, “Comparison of Fractional Robust- and Fixed Point Transformations- Based Adaptive Compensation of Dynamic Friction,” J. Adv. Comput. Intell. Intell. Inform., Vol.11, No.9, pp. 1062-1071, 2007.
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