NDLI: Online detection and suppression of mechanical resonance for servo system

Content Provider	IEEE Xplore Digital Library
Author	Jian Kang Songlin Chen Xiaoguang Di
Copyright Year	2012
Description	Author affiliation: Control and Simulation Center, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150080 (Xiaoguang Di) \|\| Control and Simulation Center, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150080, China (Jian Kang; Songlin Chen)
Abstract	Mechanical resonance can often deteriorate the performance of servo system and even cause instable. For the ubiquitous phenomenon in servo system, this paper proposes a strategy for online detection and suppression of mechanical resonance. The Shifted Discrete Fourier Translations (SDFT) is employed to detect the existence of mechanical resonance and its information in real time, which is used to determine the parameters of the notch filter. To eliminate the jump of control input while the notch filter is put in the system dynamically, a new method based on gradually changing parameters and repeatedly discretizing filter is proposed. When the mechanical resonant varies with the conditions of load change, component ageing and mechanical coupling looseness, the real-time SDFT can detect the new vibration information automatically and adjust the parameter of the notch filter to suppress the vibration consequently. The experimental results on the turntable servo system show sufficiently that this proposed strategy is feasible and effective.
Starting Page	16
Ending Page	21
File Size	941140
Page Count	6
File Format	PDF
ISBN	9781457721441
e-ISBN	9781457721434
DOI	10.1109/ICICIP.2012.6391515
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vibrations Optical filters Information filters Filtering theory Mathematical model Servomotors
Content Type	Text
Resource Type	Article

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