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Yao Jianjun
Wu Zhenshun
Han Junwei
Yue Donghai
School of Mechanical and
Electrical Engineering,
Harbin Institute of Technology,
Harbin 150001, China |
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ADAPTIVE HARMONIC CANCELLATION APPLIED IN ELECTRO-HYDRAULIC SERVO SYSTEM WITH ANN
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. 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 proposed AHC control scheme.
Key words:
Dead zone Higher harmonic Harmonic distortion
Artificial neural network (ANN) Adaptive harmonic cancellation (AHC)
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