Paper
31 January 2013 High precision position control of voice coil motor based on single neuron PID
Liyi Li, Qiming Chen, Guangjun Tan, He Zhu
Author Affiliations +
Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 87590S (2013) https://doi.org/10.1117/12.2015009
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China
Abstract
Voice coil motor(VCM) is widely used in high-speed and high-precision positioning control system in recent years. However, there are system uncertainty, nonlinear, modeling error, and external disturbances in the high-precision positioning control system, traditional PID control method is difficult to achieve precise positioning control. In this paper, a new position control strategy with a single neuron controller which has the capability of self-studying and self-adapting composed with PID controller is put forward, and the feedforward compensator is added to improve the dynamic response of the system in the position loop. Moreover, the disturbance observer is designed to suppress model parameter uncertainty and external disturbance signal in the current loop. In addition, the problem of high precision position control of VCM under the influence of significant disturbances is addressed, which including the gas-lubricated damping, the spring, the back EMF and ripple forces, on the basis, the mathematical model of VCM is established accurately. The simulation results show that this kind of controller can improve the dynamic characteristic and strengthen the robustness of the system, and the current loop with disturbance observer can also restrain disturbance and high frequency.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liyi Li, Qiming Chen, Guangjun Tan, and He Zhu "High precision position control of voice coil motor based on single neuron PID", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87590S (31 January 2013); https://doi.org/10.1117/12.2015009
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Cited by 4 scholarly publications.
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KEYWORDS
Neurons

Control systems

Mathematical modeling

Device simulation

Control systems design

Mathematics

Servomechanisms

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