Adaptive fuzzy approach for non-linearity compensation in MEMS gyroscope

作者：Juan Wanru; Fei Juntao^*

来源：TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2013, 35(8): 1008-1015.

DOI：10.1177/0142331212472224

• Adaptive fuzzy sliding mode control
• MEMS gyroscope
• non-linearity compensation
• Lyapunov methods

In the practical control of microelectromechanical system (MEMS) gyroscopes, dead-zone non-linearity often exists, which has negative influence on the resolution and performance of the gyroscope system. System non-linearities are inevitable in actual MEMS gyroscopes and require the controller to be either adaptive or robust to these non-linearities. In this paper, an adaptive fuzzy compensator is designed to compensate the dead-zone non-linearities for MEMS gyroscope. A fuzzy logic system is used for dead-zone non-linear switching function and an optimal algorithm is designed to make the dead-zone compensator to tune the parameters adaptively. The closed-loop stability can be guaranteed with the proposed adaptive fuzzy dead-zone compensation. Simulation results demonstrate that the tracking error can be attenuated efficiently and robustness of the control system can be improved with the proposed adaptive fuzzy non-linearity compensator.

• 出版日期2013-12
• 单位河海大学