Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope Sensor Using Fuzzy Switching Approach

Author(s):  
Juntao Fei ◽  
Mingyuan Xin

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.

2011 ◽  
Vol 327 ◽  
pp. 12-16 ◽  
Author(s):  
Yi Min Li ◽  
Yang Cai

A novel Adaptive Fuzzy Sliding Mode Control (AFSMC) methodology is proposed in this paper based on the integration of Sliding Mode Control (SMC) and Adaptive Fuzzy Control (AFC).To get rid of the chattering and the bound of uncertainty, an adaptive fuzzy logic system design method introduced for the switching gain is proposed. The main advantage of our proposed methodology is that the nonlinear systems are unknown and no knowledge of the bounds of parameters, uncertainties and external disturbance are not required in advance.the design for the switching gain which will relax the requirement for the bound of uncertainty can ensure stability. The simulation results illustrate the effectiveness of the method.


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