Sliding Mode Control for Electromagnetic Actuation MOEMS Scanning Mirror

Author:

Zhou Hui1,Chen Li1,Wang Jun Bo2,Zhang Zuo Jun1,Chen Dan Hua1

Affiliation:

1. Chongqing University

2. Chinese Academy of Sciences

Abstract

Sliding Mode Control (SMC) based on exponential switching law for electromagnetic actuation MOEMS mirror was proposed. This technique relies on the movable mass and the dynamics of the sliding surface. In such a way, the generated actuation tracks possible changes in the mechanical behavior induced by external factors (humidity, temperature, pressure, etc.). Stability of the proposed method is proved by Lyapunov second method. The system level model is established and simulated using MATLAB/Simulink. Simulation results show that: the scanning angle converges to reference value in only 0.45 seconds when using exponential switching law, which is decreased 55% compared with that using proportional switching law, and the sliding surface is much smooth too; the tracking error less than 0.25%, and sliding surface jittering in the range of 0.5. The proposed SMC controller can realize accurate control of mirror and having high performance and robustness in the presence of external disturbances and also can be applied to the closed-loop control of other vibrating devices.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference11 articles.

1. Qian Rongrong. Research of MOEMS Scanning Mirror Integrated with Angle Sensor[D]. Chongqing University, (2011).

2. Luo Biao, Wen Zhiyu, Chen Li. Testing and Analysis of the MOEMS Scanning Mirror[J]. Nanotechnology and Precision Engineering, 2012, 10(4): 307-312.

3. Zhang Qiwei. Two-vibration silicon micro-machined gyroscope digital measurement and control technology[D]. Southeast University, (2009).

4. Wang Yuliang. Research on key technology of digital signal processing circuitry for silicon micro-gyroscope[D]. Southeast University, (2010).

5. Liu Jinkun. Sliding mode control design and MATLAB simulation[M]. Beijing: Tsinghua University press, (2012).

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