In this paper, an adaptive fuzzy sliding mode control strategy, which combines the merits of sliding mode control and adaptive fuzzy control, is proposed to control the MEMS gyroscope in the presence of model uncertainties and external disturbances. The adaptive fuzzy systems are employed to approximate both the equivalent control term and the sliding mode controller. Then the switching control becomes continuous and the chattering phenomena can be attenuated. The adaptation laws based on the Lyapunov analysis can adaptively adjust the fuzzy rules to guarantee the asymptotical stability of the adaptive fuzzy closed-loop control system. Numerical simulations are investigated to verify the effectiveness of the proposed adaptive fuzzy control schemes.
Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope Sensor Using Fuzzy Switching Approach
and Distribution Equipment Technology,
College of Computer and Information,
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received July 20, 2012; final manuscript received August 9, 2014; published online December 10, 2014. Assoc. Editor: May-Win L. Thein.
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Fei, J., and Xin, M. (May 1, 2015). "Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope Sensor Using Fuzzy Switching Approach." ASME. J. Dyn. Sys., Meas., Control. May 2015; 137(5): 051002. https://doi.org/10.1115/1.4028812
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