AN ADAPTIVE FUZZY SLIDING MODE CONTROL SCHEME FOR ROBOTIC SYSTEMS

Document Type : Research Paper

Authors

1 Associate Professor, Mechanical Engineering Department, Faculty of Engineering, Assiut University, 71516, EGYPT

2 Mechanical Engineering Department, Faculty of Engineering, Assiut University, 71516 Assiut, Egypt

Abstract

In this article, an adaptive fuzzy sliding mode control (AFSMC) scheme is derived for robotic systems. In the AFSMC design, the sliding mode control (SMC) concept is combined with fuzzy control strategy to obtain a model-free fuzzy sliding mode control. The equivalent controller has been replaced by a fuzzy system and the uncertainties are estimated on-line. The approach of the AFSMC has the learning ability to generate the fuzzy control actions and adaptively compensates for the uncertainties. Despite the high nonlinearity and coupling effects, the control input of the proposed control algorithm has been decoupled leading to a simplified control mechanism for robotic systems. Simulations have been carried out on a two link planar robot. Results show the effectiveness of the proposed control system.

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JES. Journal of Engineering Sciences
Volume 40, No 1
January and February 2012
Pages 173-189

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