Disturbance observer supported fuzzy model based controller with application to bilateral teleoperation systems

Author:

Asad Muhammad Usman1,Gu Jason1,Farooq Umar12,Balas Marius3,Chen Zheng4,Qureshi Khurram Karim5,Abbas Ghulam6,Chang Chunqi7

Affiliation:

1. Department of Electrical & Computer Engineering, Dalhousie University, Halifax, N.S., Canada

2. Intelligent Systems Laboratory and Automation Facility (ISLAF), Lahore, Pakistan

3. Depatrment of Informatics, “Auriel Vlaicu” University of Arad, Arad, Romania

4. Ocean College, Zhejiang University, Zhejiang, China

5. Department of Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

6. Department of Electrical Engineering, The University of Lahore, Lahore, Pakistan

7. School of Biomedical Engineering, Shenzhen University, Shenzhen, China

Abstract

This paper proposes a disturbance observer supported Takagi-Sugeno (TS) fuzzy model-based control scheme for uncertain systems. The baseline controller is a guaranteed performance fuzzy model based parallel distributed controller (PDC) which is constructed using the nominal system’s parameters. The model approximation error and parametric uncertainties are treated as a lumped disturbance and a nonlinear disturbance observer (NDOB) is introduced to counter the lumped disturbance. The applicability of the proposed scheme is demonstrated on the bilateral control of nonlinear teleoperation system in MATLAB/Simulink/QUARC environment through simulations as well as semi-real time experiments.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference14 articles.

1. Khalil H.K. , Nonlinear Systems, Englewood Cliffs, NJ: Prentice-Hall, 1996.

2. Slotine J.J. and Li W. , Applied Nonlinear Control, Prentice Hall, 1990.

3. An approach to fuzzy control of nonlinear systems: Stability & design issues;Wang;IEEE Transactions on Fuzzy Systems,1996

4. A new approach for stabilizing a TS model fuzzy system;Lin;International Journal of Intelligent Systems,2001

5. Design of fuzzy logic controllers for Takagi-Sugeno fuzzy model-based system with guaranteed performance;Wong;International Journal of Approximate Reasoning,2002

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