A robust non model-based friction compensation approach
Robot Control, Volume # 8 | Part# 1
Authors
Marina Indri
Identifier
10.3182/20060906-3-IT-2910.00029
Index Terms
control techniques,friction compensation,non model-based control approach
Abstract
A robust friction compensation approach is proposed, constituted by a feedback control law, including the compensation of the friction effects, on the basis of the estimate provided by a non model-based, reduced-order observer. The approach, developed in the paper to solve a regulation problem for a 1-dof servomechanism, does not require the knowledge of the friction parameters. The stability properties of the controlled system, and the robustness of the proposed control scheme with respect to variations of the system inertia, are analytically proven, and confirmed by simulation results.
References
[1] Al-Bender, F., F. Lampaert and J. Swevers
(2005). The generalized maxwell-slip model: a
novel model for friction simulation and compensation.
IEEE Trans. on Automatic Control
50(11), 1883-1887.
[2] Armstrong, B., D. Neevel and T. Kusik (2001).
New results in NPID control: Tracking, integral
control, friction compensation and experimental
results. IEEE Trans. on Control
Systems Technology 9(2), 399-406.
[3] Bona, B. and M. Indri (2005). Friction compensation
in robotics: an overview. In: Proc. 44th
IEEE Conf. on Decision and Control (CDC
05) and European Control Conference ECC
2005. Seville, Spain.
[4] Canudas de Wit, C. and P. Lischinsky (1997).
Adaptive friction compensation with partially
known dynamic friction model. Int. J.
of Adaptive Control and Signal Processing
11, 65-80.
[5] Canudas de Wit, C., H. Olsson, K. J. Åström
and P. Lischinsky (1995). A new model for
control of systems with friction. IEEE Trans.
on Automatic Control 40(3), 419-425.
[6] Chen, W.-H., D. J. Ballance, P. J. Gawthrop and
J. O'Reilly (2000). A nonlinear disturbance
observer for robotic manipulators. IEEE
Trans. on Industrial Electronics 47(4), 932-
938.
[7] Feemster, M., P. Vedagarbha, D. M. Dawson
and D. Haste (1999). Adaptive control techniques
for friction compensation. Mechatronics
9, 125-145.
[8] Hung, N. V. Q., H. D. Tuan, T. Narikiyo and P. Apkarian
(2002). Adaptive controls for nonlinearly
parameterized uncertainties in robot
manipulators. In: Proc. 41st IEEE Conf. on
Decision and Control. Vol. 2. pp. 1727 - 1732.
[9] Indri, M. and A. Tornambè (1999). Impact model
and control of two multi-dof cooperating manipulators.
IEEE Trans. on Automatic Control
44(6), 1297-1303.
[10] Indri, M. and A. Tornambè (2000). Impact control
of a single-link robot striking different
environments: Theoretical and experimental
investigation. European Journal of Control
6(4), 322-337.
[11] Kermani, M. R., M. Wong, R. V. Patel, M. Moallem
and M. Ostojic (2004). Friction compensation
in low and high-reversal-velocity manipulators.
In: Proc. 2004 IEEE Int. Conf. on
Robotics and Automation. Vol. 5. pp. 4320-
4325.
[12] Kostić, D., B. de Jager, M. Steinbuch and
R. Hensen (2004). Modeling and identification
for high-performance robot control: An
RRR-robotic arm case study. IEEE Trans. on
Control Systems Technology 12(6), 904-919.
[13] Moreno, J., R. Kelly and R. Campa (2003). Manipulator
velocity control using friction compensation.
IEE Proceedings - Control Theory
Appl. 150(2), 119-126.
[14] Putra, Devi, Luc Moreau and Henk Nijmeijer
(2004). Observer-based compensation of
discontinuous friction. In: Proc. 43rd IEEE
Conf. on Decision and Control. pp. 4940-
4945.
[15] Tornambé, A. (1996). Global regulation of a planar
robot arm striking a surface. IEEE Trans.
on Automatic Control 41(10), 1517-1521.
[16] Vedagarbha, P., D. M. Dawson and M. Feemster
(1999). Tracking control of mechanical systems
in the presence of nonlinear dynamic
friction effects. IEEE Trans. on Control System
Technology 7(4), 446-456.
