Perturbation wavelet neural sliding mode position control for a voice coil motor driver
學年 106
學期 2
出版（發表）日期 2018-03-12
作品名稱 Perturbation wavelet neural sliding mode position control for a voice coil motor driver
作品名稱（其他語言）
著者 Hsu, Chun-fei
單位
出版者
著錄名稱、卷期、頁數 Neural Computing and Applications 31,　p.5975-5988
摘要 To cope with the nonlinear electro-magneto-mechanical characteristics, this paper proposes a perturbation wavelet neural sliding mode position control (PWSPC) system for a voice coil motor (VCM) driver. A perturbed wavelet neural network (PWNN) approximator is used to online approximate the unknown nonlinear term in the VCM system dynamics. The PWNN approximator uses perturbed wavelet functions to handle the rules uncertainties like interval type-2 fuzzy sets. The structure learning ability enables the PWNN approximator to evolve its structure online. Further, the parameter learning laws and stability analysis are derived in the sense of Lyapunov function; thus, the parameter convergence and system stability can be guaranteed. Finally, the experimental results verify that the proposed PWSPC system can achieve favorable control performance such as good disturbance rejection and good tracking accuracy.
關鍵字 VCM driver;Wavelet neural network;Perturbed wavelet function;Structure learning;Parameter learning
語言 en_US
ISSN 1433-3058
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118964 )

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