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第26届中国控制与决策会议

作者： Shi-tie Zhao Xian-wen Gao School of Information Science ＆ Engineering Northeastern University

magnetic levitation system is a typical nonlinear and instable system. Based on the complexity and inaccuracy of modelling, in this paper identified magnetic levitation system using the speciality that neural network（NN） can approach any nonlinear function. A Radial Basis Function neural network（RBFNN） controller is designed based on the neural network adaptive control principle. This paper proposes a control method which combine neural network adaptive control method and state feedback control method based on RBFNN. A simulation of the system is is proposed, and the result shows that RBFNN could approach magnetic levitation system very well,neural network adaptive state feedback controller has a good effect on this nonlinear system;this control system has a preferable stability and control property.

关键词： Radial Basis Function(RBF) neural network control state feedback magnetic levitation system

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Particle Swarm Optimization Algorithm-based Identification of Fractional-order magnetic levitation systems

Particle Swarm Optimization Algorithm-based Identification o...

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第40届中国控制会议

作者： Tianxin Liu Qing Yang Yiqiu Tan Jie Li Qiang Chen National University of Defense Technology

magnetic levitation systems are strongly nonlinear systems with time-varying model parameters, many external disturbances, and open-loop instability. Most of the linearized modeling methods ignore the higher-order nonlinearity of the system to some extent and the physical characteristics of the system such as the leakage flux of the winding, the reluctance of the magnet core and the guideway, making the established model less accurate. In this paper, a particle swarm algorithm-based fractional order suspension system identification method is proposed to identify the unknown system into a more accurate fractional order model. The obtained fractional-order model is more accurate in depicting the actual system than the integer-order model, which is more conducive to the analysis of the system and the design of the controller.

关键词： magnetic levitation system Particle Swarm Optimization Identification

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Controllability and Observability of 2-DOF Permanent Magnet Maglev system with Linear Control

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Journal of Northeast Agricultural University(English Edition) 2005年第1期12卷 79-82页

作者： CUITian-shi OKakoichi DONGGui-ju EngineeringCollege NortheastAgriculturalUniversityHarbinHeilongjiang150030PRC KachiUniversityofTechnology KochiJapan782-8502Japan

A new type of 2-DOF(degree of freedom) magnetic levitation system for multi-DOF levitation is proposed. In this system, the force of permanent magnets are used for levitation and controlled by adjusting the reluctance of the magnetic circuit. Using permanent magnets, the feature of this system is effective for saving energy and avoiding heat generation. First, the principle of the levitation system and typical reluctance control methods are described. Second, an experimental device based on the principle is introduced. Finally, the feasibility of this system is considered from linear control theory.

关键词： permanent magnet magnetic levitation system linear control 2-DOF

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