Research on a New Control System Based on L1 Adaptive Control Scheme for the Voice Coil Motor

Autor: Huaiguo Jing, Ying Li, Bo Li, Shuo Huang, RuiDian Zhan, Hao Li, Xuexi Zhang
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Applied Mathematics, Vol 2022 (2022)
Druh dokumentu: article
ISSN: 1687-0042
DOI: 10.1155/2022/3340331
Popis: With the continuous development of voice coil motors, it has also been widely used in today’s sports competitions. For example, the Hawk-Eye system in tennis matches uses voice coil motors to focus on the camera to capture the trajectory of the tennis ball. Therefore, in order to better solve the problem of dynamic parameter uncertainty, external load disturbance, and tracking control of the voice coil motor servo system in motion, this paper proposes for the first time the strategy of using L1 adaptive control algorithm to control the voice coil motor servo system. First, it briefly analyzes the working principle and control method of the voice coil motor, and then constructs the uncertain parameter model according to the mathematical model of the voice coil motor. The closed-loop system of voice coil motor is simulated and analyzed by L1 adaptive controller. The results show that the L1 adaptive control method effectively suppresses the high-frequency interference caused by the voice coil motor in operation, can control the tracking error to gradually converge and so the tracking effect is better, and has strong robustness to the perturbation of system parameters. It can be applied to voice coil motor servo control.
Databáze: Directory of Open Access Journals
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