Attenuation of Position-Dependent Periodic Disturbance for Rotary Machines by Improved Spatial Repetitive Control With Frequency Alignment
Autor: | Kang-Zhi Liu, Mengyu Wang, Xin Huo, Xingang Tong |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Computer science Automatic frequency control Internal model 02 engineering and technology Filter (signal processing) Repetitive control Servomechanism Servomotor Computer Science Applications law.invention Periodic function 020901 industrial engineering & automation Control and Systems Engineering law Control theory Electrical and Electronic Engineering |
Zdroj: | IEEE/ASME Transactions on Mechatronics. 25:339-348 |
ISSN: | 1941-014X 1083-4435 |
DOI: | 10.1109/tmech.2019.2946675 |
Popis: | In many real-world rotary machines, there is an inherent need to attenuate time-varying but position-dependent periodic disturbances. This article proposes an improved repetitive controller, in which a spatial internal model, a spatial low-pass filter, and a frequency alignment are synthesized. The controller is digitally implemented in a uniform time-sampling system. Specifically, a universal internal model of arbitrary periodic signal in spatial domain is derived for the attenuation of the position-dependent disturbances in the rotary machine, and a spatial low-pass filter is designed for the stability of the closed-loop system. Furthermore, a frequency alignment strategy is designed to compensate the bias resulted from the filter. Moreover, the cascaded utilization of the proposed controllers is introduced to improve the performance of a position-feedback servo system. Experimental verification and comparisons validate the feasibility and effectiveness of the proposed method in both single and cascaded configurations. |
Databáze: | OpenAIRE |
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