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高频响应下音圈电机复杂迟滞特性建模与验证
引用本文:党选举,王占军,杨大磊.高频响应下音圈电机复杂迟滞特性建模与验证[J].振动与冲击,2012,31(9):107-112.
作者姓名:党选举  王占军  杨大磊
作者单位:桂林电子科技大学 电子工程与自动化学院,广西 桂林 541004
基金项目:国家自然科学基金,广西重点自然科学基金,广西教育厅重大科研项目
摘    要:为了实现音圈电机(Voice Coil Motor,VCM)在高频、高速、高加速情况下的精确定位控制,针对引起音圈电机产生振动、系统不稳定等问题的特殊复杂迟滞特性,建立了其复杂迟滞模型。改进了C-S迟滞模型,提出了C-S神经网络混合动态复杂迟滞模型;用音圈电机的两组实测数据验证了模型的有效性。实验结果为:音圈电机工作在低频、低速、低加速时(10Hz)表现出一般的迟滞特性,这时建模的最大误差为4.8μm,是最大输出值的0.48%,表明该方法能够有效的补偿音圈电机一般的迟滞特性;音圈电机工作在高频、高速、高加速时(40Hz)表现出特殊的复杂迟滞特性,其建模的最大误差为6μm,是最大输出值的0.97%。说明该方法能够满足复杂迟滞特性建模的要求。

关 键 词:音圈电机    复杂迟滞    神经网络    C-S模型    非单调  
收稿时间:2010-11-30
修稿时间:2011-5-17

Modeling and model verification of complex hysteresis property of voice coil motor under high frequency response
DANG Xuan-ju , WANG Zhan-jun , YANG Da-lei.Modeling and model verification of complex hysteresis property of voice coil motor under high frequency response[J].Journal of Vibration and Shock,2012,31(9):107-112.
Authors:DANG Xuan-ju  WANG Zhan-jun  YANG Da-lei
Affiliation:School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China
Abstract:In order to achieve the purpose of precise positioning control of voice coil motor(VCM)under high frequency response,a precise hysteresis model was established in accordance with complex hysteresis behaviors of voice coil motor,which lead to motor vibration and system instability.The C-S hysteresis model was improved and the C-S hybrid neural network hysteresis model was proposed.Two groups of measured data of a voice coil motor were used to verify the effectiveness of the model.Two experimental results were concluded: for the situation of general hysteresis property of VCM when it works in low frequency,low speed and low acceleration(10Hz),the maximum error of modeling is 4.8μm,about 0.48% of output value,indicating that the method can effectively describle the simple hysteresis;for the situation of complex hysteresis property of VCM when it works in high frequency,high speed and high acceleration(40Hz),the maximum error of modeling is 6μm,about 0.97% of output value,indicating that the method can meet the modeling requirements of complex hysteresis.
Keywords:voice coil motor  complex hysteresis  neural network  C-S model  non-monotonic function
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