Adaptive harmonic cancellation applied in electro-hydraulic servo system with ANN

Jianjun Yao; Zhenshun Wu; Junwei Han; Donghai Yue

doi:10.3901/cjme.2004.04.628

Adaptive harmonic cancellation applied in electro-hydraulic servo system with ANN

Jianjun Yao, Zhenshun Wu, Junwei Han, Donghai Yue

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The method for harmonic cancellation based on artificial neural network (ANN) is proposed. The task is accomplished by generating reference signal with frequency that should be eliminated from the output. The reference input is weighted by the ANN in such a way that it closely matches the harmonic. The weighted reference signal is added to the fundamental signal such that the output harmonic is cancelled leaving the desired signal alone. And the weights of ANN are adjusted by output harmonic, which is isolated by a bandpass filter. The above concept is used as a basis for the development of adaptive harmonic cancellation (AHC) algorithm. Simulation results performed with a hydraulic system demonstrate the efficiency and validity of the AHC control scheme.

Original language	English
Pages (from-to)	628-630
Number of pages	3
Journal	Chinese Journal of Mechanical Engineering (English Edition)
Volume	17
Issue number	4
DOIs	https://doi.org/10.3901/cjme.2004.04.628
State	Published - Dec 2004
Externally published	Yes

Keywords

Adaptive harmonic cancellation (AHC)
Artificial neural network (ANN)
Dead zone
Harmonic distortion
Higher harmonic

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10.3901/cjme.2004.04.628

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abstract = "The method for harmonic cancellation based on artificial neural network (ANN) is proposed. The task is accomplished by generating reference signal with frequency that should be eliminated from the output. The reference input is weighted by the ANN in such a way that it closely matches the harmonic. The weighted reference signal is added to the fundamental signal such that the output harmonic is cancelled leaving the desired signal alone. And the weights of ANN are adjusted by output harmonic, which is isolated by a bandpass filter. The above concept is used as a basis for the development of adaptive harmonic cancellation (AHC) algorithm. Simulation results performed with a hydraulic system demonstrate the efficiency and validity of the AHC control scheme.",

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AU - Yue, Donghai

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N2 - The method for harmonic cancellation based on artificial neural network (ANN) is proposed. The task is accomplished by generating reference signal with frequency that should be eliminated from the output. The reference input is weighted by the ANN in such a way that it closely matches the harmonic. The weighted reference signal is added to the fundamental signal such that the output harmonic is cancelled leaving the desired signal alone. And the weights of ANN are adjusted by output harmonic, which is isolated by a bandpass filter. The above concept is used as a basis for the development of adaptive harmonic cancellation (AHC) algorithm. Simulation results performed with a hydraulic system demonstrate the efficiency and validity of the AHC control scheme.

AB - The method for harmonic cancellation based on artificial neural network (ANN) is proposed. The task is accomplished by generating reference signal with frequency that should be eliminated from the output. The reference input is weighted by the ANN in such a way that it closely matches the harmonic. The weighted reference signal is added to the fundamental signal such that the output harmonic is cancelled leaving the desired signal alone. And the weights of ANN are adjusted by output harmonic, which is isolated by a bandpass filter. The above concept is used as a basis for the development of adaptive harmonic cancellation (AHC) algorithm. Simulation results performed with a hydraulic system demonstrate the efficiency and validity of the AHC control scheme.

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KW - Dead zone

KW - Harmonic distortion

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Adaptive harmonic cancellation applied in electro-hydraulic servo system with ANN

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