Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144979
Title: Model reference tracking control of linear motor with dead-zone via switched systems subjected to time-varying delay
Authors: Teng, Long
Yang, Hejin
Wang, Youyi
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2016
Source: Teng, L., Yang, H., & Wang, Y. (2016). Model reference tracking control of linear motor with dead-zone via switched systems subjected to time-varying delay. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 589-594. doi:10.1109/iecon.2016.7793469
Abstract: In this paper, model reference tracking control of linear brushless DC motor with dead-zone is investigated. Compared with traditional control methods which requires the nonlinear model of dead-zone and then compensation is executed, the dead-zone is modeled as time-varying input delay systems. Thus the complex nonlinearities of dead-zone can be ignored. As a result, the whole motor motion can be regarded as switched systems comprised of two subsystems, one is a linear time-varying input delay system when motor enters the dead-zone, and the other one is a linear non-delayed system when motor leaves the dead-zone. The tracking control problems for both subsystems are considered. In particular,a stabilization method based on Lyapunov-Razumihkin function is adopted for system with time-varying delay, which leads to easier implementations of controller synthesis and computation when compared to Lyapunov-Krasovskii function. Simulation and experimental results on a linear motor is provided to illustrate the effectiveness of the proposed method.
URI: https://hdl.handle.net/10356/144979
ISBN: 978-1-5090-3474-1
DOI: 10.1109/IECON.2016.7793469
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/IECON.2016.7793469.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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