Amplitude phase control for electro-hydraulic servo system based on normalized least-mean-square adaptive filtering algorithm
Amplitude phase control for electro-hydraulic servo system based on normalized least-mean-square adaptive filtering algorithm
复制标题
基于归一化最小均方自适应滤波算法的电液伺服系统幅相控制
DOI：
10.1007/s11771-011-0759-6
复制
发表时间：
2011-06
影响因子：
--
通讯作者：
姚建均
中科院分区：
文献类型：
--
作者：
姚建均
采用归一化最小均方(LMS)自适应滤波算法建立网络，对电液伺服系统的正弦响应幅值衰减和相位延迟进行了研究。对命令输入进行加权校正，生成算法所需的输入，并将反馈纳入反馈校正，其输出为加权反馈。根据期望输入与加权反馈之间的估计误差，在线更新归一化LMS自适应滤波算法的权值。因此，更新的权重被复制到输入校正。归一化LMS自适应滤波算法强制估计误差为零，使加权反馈等于期望输入，使反馈跟踪指令。上述概念被用来作为发展幅相控制的基础。该方法在不需要估计系统模型的情况下，具有良好的实时性。仿真和实验结果表明，该幅相控制能有效地消除幅值衰减和相位延迟，具有较高的精度。
The electro-hydraulic servo system was studied to cancel the amplitude attenuation and phase delay of its sinusoidal response, by developing a network using normalized least-mean-square (LMS) adaptive filtering algorithm. The command input was corrected by weights to generate the desired input for the algorithm, and the feedback was brought into the feedback correction, whose output was the weighted feedback. The weights of the normalized LMS adaptive filtering algorithm were updated on-line according to the estimation error between the desired input and the weighted feedback. Thus, the updated weights were copied to the input correction. The estimation error was forced to zero by the normalized LMS adaptive filtering algorithm such that the weighted feedback was equal to the desired input, making the feedback track the command. The above concept was used as a basis for the development of amplitude phase control. The method has good real-time performance without estimating the system model. The simulation and experiment results show that the proposed amplitude phase control can efficiently cancel the amplitude attenuation and phase delay with high precision.
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DOI：
10.1109/ical.2008.4636112
发表时间：
2008-09
期刊：
2008 IEEE International Conference on Automation and Logistics
影响因子：
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作者：
Jianjun Yao;Li-quan Wang;Caidong Wang;Zhonglin Zhang;Peng Jia
通讯作者：
Jianjun Yao;Li-quan Wang;Caidong Wang;Zhonglin Zhang;Peng Jia
DOI：
10.1016/j.sigpro.2009.05.002
发表时间：
2009-11
期刊：
Signal Process.
影响因子：
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作者：
D. McLernon;M. Lara;A. Orozco-Lugo
通讯作者：
D. McLernon;M. Lara;A. Orozco-Lugo
DOI：
10.1016/j.sigpro.2009.04.040
发表时间：
2009-11
期刊：
Signal Process.
影响因子：
--
作者：
E. Eweda
通讯作者：
E. Eweda
DOI：
10.3901/cjme.2006.01.032
发表时间：
2006
期刊：
--
影响因子：
--
作者：
Yao;Jianjun;Wang;Xiancheng;Wu;Zhenshun;Han;Junwei
通讯作者：
Yao;Jianjun;Wang;Xiancheng;Wu;Zhenshun;Han;Junwei
DOI：
10.1109/tcst.2008.2000978
发表时间：
2009-03
期刊：
IEEE Trans. Control. Syst. Technol.
影响因子：
--
作者：
Weiwei Shang;S. Cong;Yaoxin Zhang;Yanyang Liang
通讯作者：
Weiwei Shang;S. Cong;Yaoxin Zhang;Yanyang Liang