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

Joint Authors

Shen, An-Wen
Wang, Wen-Yu

Source

Journal of Control Science and Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-07-05

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Wang, Wen-Yu& Shen, An-Wen. 2012. Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter. Journal of Control Science and Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-474757

Modern Language Association (MLA)

Wang, Wen-Yu& Shen, An-Wen. Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter. Journal of Control Science and Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-474757

American Medical Association (AMA)

Wang, Wen-Yu& Shen, An-Wen. Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter. Journal of Control Science and Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-474757

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-474757