Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model

Yunmei Fang, Shitao Wang, Juntao Fei and Mingang Hua

Discrete Dynamics in Nature and Society, 2015, vol. 2015, 1-10

Abstract:

A multi-input multioutput (MIMO) Takagi-Sugeno (T-S) fuzzy model is built on the basis of a nonlinear model of MEMS gyroscope. A reference model is adjusted so that a local linear state feedback controller could be designed for each T-S fuzzy submodel based on a parallel distributed compensation (PDC) method. A parameter estimation scheme for updating the parameters of the T-S fuzzy models is designed and analyzed based on the Lyapunov theory. A new adaptive law can be selected to be the former adaptive law plus a nonnegative in variable to guarantee that the derivative of the Lyapunov function is smaller than zero. The controller output is implemented on the nonlinear model and T-S fuzzy model, respectively, for the purpose of comparison. Numerical simulations are investigated to verify the effectiveness of the proposed control scheme and the correctness of the T-S fuzzy model.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:419643

DOI: 10.1155/2015/419643

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