Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter | Zendy

Wenyu Wang | Zendy; Anwen Shen | Zendy

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Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter

Author(s) -

Wenyu Wang,

Anwen Shen

Publication year - 2012

Publication title -

journal of control science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 18

eISSN - 1687-5257

pISSN - 1687-5249

DOI - 10.1155/2012/478907

Subject(s) - band stop filter , low pass filter , filter (signal processing) , control theory (sociology) , fast fourier transform , reduction (mathematics) , resonance (particle physics) , high pass filter , adaptive filter , all pass filter , computer science , acoustics , mathematics , engineering , electronic engineering , physics , algorithm , artificial intelligence , control (management) , geometry , particle physics , computer vision

A novel method for middle frequency resonance detection and reduction is proposed for speed control in industrial servo systems. Defects of traditional resonance reduction method based on adaptive notch filter in middle frequency range are analyzed. And the main reason is summarized as the difference between the resonance frequency and the oscillation frequency. A self-tuning low-pass filter is introduced in the speed feedback path, whose corner frequency is determined by FFT results and several self-tuning rules. With the proposed method the effective range of the adaptive filter is extended across the middle frequency range. Simulation and Experiment results show that the frequency detection is accurate and resonances during the speed steady states and dynamics are successfully reduced

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