MATEC Web Conf.
Volume 256, 2019The 5th International Conference on Mechatronics and Mechanical Engineering (ICMME 2018)
|Number of page(s)||6|
|Section||Modern Measurement and Control Technology & Key Technologies|
|Published online||23 January 2019|
Implicit Euler Implementation of Twisting Controller and Super-Twisting Observer without Numerical Chattering: Precise Quasi-Static MEMS Mirrors Control
1 Wuhan National Laboratory for Optoelectonics, Huazhong University of Science and Technology, Wuhan 430074, China
2 Harbin Institute of Technology (Shenzhen), 518055 Shenzhen, China
3 School of Engineering, Yanbian University, Yanji 133002, China
4 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055 Shenzhen, China
The quasi-static operations of MEMS mirror are very sensitive to undesired oscillations due to its very low damping. It has been shown that closed-loop control can be superior to reduce those oscillations than open-loop control in the literature. For the closed-loop control, the conventional way of implementing sliding mode control (SMC) algorithm is forward Euler method, which results in numerical chattering in the control input and output. This paper proposes an implicit Euler implementation scheme of super twisting observer and twisting control for a commercial MEMS mirror actuated by an electrostatic staggered vertical comb (SVC) drive structure. The famous super-twisting algorithm is used as an observer and twisting SMC is used as a controller. Both are discretized by an implicit Euler integration method, and their implementation algorithms are provided. Simulations verify that, as compared to traditional sliding mode control implementation, the proposed scheme reduces the chattering both in trajectory tracking output and control input in presence of model uncertainties and external disturbances. The comparison demonstrates the potential applications of the proposed scheme in industrial applications in terms of feasibility and performance.
© The Authors, published by EDP Sciences, 2019
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