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Journal of Control Science and Engineering
Volume 2012, Article ID 478907, 12 pages
http://dx.doi.org/10.1155/2012/478907
Research Article

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

Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China

Received 2 March 2012; Revised 8 May 2012; Accepted 8 May 2012

Academic Editor: Zhiyong Chen

Copyright © 2012 Wen-Yu Wang and An-Wen Shen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.