Design, implementation and self-tuning adaptive control of maglev guiding system

Mei Yung Chen; Kun Nan Wu; Li Chen Fu

doi:10.1016/S0957-4158(99)00056-2

Design, implementation and self-tuning adaptive control of maglev guiding system

Mei Yung Chen, Kun Nan Wu, Li Chen Fu

Department of Mechartronic Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

This paper presents a self-tuning adaptive control (STA control) for a magnetically levitated (maglev) guiding system. The guiding system is a repulsive maglev system with a passive carrier and four active guiding tracks. Hybrid magnets exert the levitation forces, whereas the stabilizing forces are produced by electromagnets. Given such a system, an STA stabilizing controller is developed, and the thorough analysis of the stability property is also proposed. It is shown that without precise knowledge of various components, the overall system stability and the regulating precision are assured, which validates the hereby proposed system. From the simulation and experimental results, the performance of the system design and the enforced control mechanism is demonstrated successfully.

Original language	English
Pages (from-to)	215-237
Number of pages	23
Journal	Mechatronics
Volume	10
Issue number	1-2
DOIs	https://doi.org/10.1016/S0957-4158(99)00056-2
Publication status	Published - 2000

ASJC Scopus subject areas

Mechanical Engineering
Computer Science Applications
Electrical and Electronic Engineering

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AB - This paper presents a self-tuning adaptive control (STA control) for a magnetically levitated (maglev) guiding system. The guiding system is a repulsive maglev system with a passive carrier and four active guiding tracks. Hybrid magnets exert the levitation forces, whereas the stabilizing forces are produced by electromagnets. Given such a system, an STA stabilizing controller is developed, and the thorough analysis of the stability property is also proposed. It is shown that without precise knowledge of various components, the overall system stability and the regulating precision are assured, which validates the hereby proposed system. From the simulation and experimental results, the performance of the system design and the enforced control mechanism is demonstrated successfully.

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Design, implementation and self-tuning adaptive control of maglev guiding system

Abstract

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