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Advanced gain scheduled H controller for robotic manipulators

Published online by Cambridge University Press:  06 September 2002

Zhongwei Yu
Affiliation:
Information and Control Engineering Department, Tongji University, Shanghai (P.R. of China)
Huitang Chen
Affiliation:
Information and Control Engineering Department, Tongji University, Shanghai (P.R. of China)
Peng-Yung Woo
Affiliation:
Electrical Engineering Department, Northern Illinois University, Dekalb Il 60115 (USA)

Summary

A conservatism-reduced design of a gain scheduled output feedback H controller for an n-joint rigid robotic manipulator, which integrates the varying-parameter rate without their feedback, is proposed. The robotic system is reduced to a 1inear parameter varying (LPV) form, which depends on the varying-parameter. By using a parameter-dependent Lyapunov function, the design of a controller, which satisfies the closed-loop H performance, is reduced to a solution of the parameterized linear matrix inequalities (LMIs) of parameter matrices. With a use of the concept of “multi-convexity”, the solution of the infinite LMIs in the varying-parameter and its rate space is reduced to a solution of the finite LMIs for the vertex set. The proposed controller eliminates the feedback of the varying-parameter rate and fixes its upper boundary so that the conservatism of the controller design is reduced. Experimental results verify the effectiveness of the proposed design.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2002

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References

1. Doyle, J. C. and Stein, G., “Multivariable feedback design: concepts for a classical/modern synthesis”, IEEE Trans. on Automatic Control 26(1), 416 (1981).CrossRefGoogle Scholar
2. Apkariah, P. and Adams, R. J., “Advanced gain-scheduling techniques for uncertain systems”, IEEE Trans. on Control System Technology 6(1), 2132 (1997).CrossRefGoogle Scholar
3. Shamma, J. S. and Athans, M., “Analysis of nonlinear gain scheduled control systems”, IEEE Trans. on Automatic Control 35(8), 898907 (1990).CrossRefGoogle Scholar
4. Shamma, J. S. and Athans, M., “Gain scheduling: potential hazards and possible remedies”, IEEE Control Systems Magazine 101–107 (June, 1992).CrossRefGoogle Scholar
5. Jiang, J., “Optimal gain scheduling controller fop a diesel engine”, IEEE Control Systems Magazine 42–48 (August, 1994).CrossRefGoogle Scholar
6. Kajiwara, H., Apkarian, P. and Gahinet, P., “LPV techniques for control of an inverted pendulum”, IEEE Control Systems Magazine 44–54 (January, 1999).CrossRefGoogle Scholar
7. Apkarian, P., Gahinet, P. and Becker, G., “Self-scheduled H control of linear parameter-varying systems: a design example”, Automatica 31(9), 12511261 (1995).CrossRefGoogle Scholar
8. Gahinet, P., Arkadii, N., Laib, A. J. and Chliali, M., “The LMI control Toolbox”, Proc. of 33rd. Conf on Decision and Control, Lake Buena Vista, FL. (Dec, 1994), pp. 2038–2041.Google Scholar
9. Yu, Z.-W. and Chen, H.-T., “Friction adaptive compensation scheme based on a sliding-mode observer”, Robot 21(7), 562568 (1999).Google Scholar
10. Gahinet, P. and Apkarian, P., “A Linear matrix inequality approach to H control”, J Robust and Nonlinear Control 41, 421448 (1994).CrossRefGoogle Scholar