An adaptive fuzzy sliding mode controller for MEMS triaxial gyroscope with angular velocity estimation
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In this paper, an adaptive fuzzy sliding mode control (AFSMC) for Micro-Electro-Mechanical Systems (MEMS) triaxial gyroscope is proposed. First, a novel adaptive identification approach with sliding mode controller which can identify angular velocity and other system parameters is developed. And in order to reduce the chattering, an AFSMC is designed to approximate the upper bound of the uncertainties and external disturbances. Based on Lyapunov methods, these adaptive laws can guarantee that the system is asymptotically stable. Numerical simulations are investigated to verify the effectiveness of the proposed AFSMC scheme.
KeywordsAdaptive fuzzy sliding mode control MEMS Triaxial Gyroscope Adaptive identification Lyapunov methods
The authors thank to the anonymous reviewers for useful comments that improved the quality of the manuscript. This work is supported by National Science Foundation of China under Grant No. 61074056, The Natural Science Foundation of Jiangsu Province under Grant No. BK2010201, and Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.
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