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Article type: Research Article
Authors: Xu, Junqia | Chen, Chena; | Sun, Youganga | Rong, Lijunb | Lin, Guobina
Affiliations: [a] Maglev Transportation Engineering R&D Center, Tongji University, Shanghai, China | [b] Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China
Correspondence: [*] Corresponding author: Chen Chen, Maglev Transportation Engineering R&D Center, Tongji University, 201804, Shanghai, China. E-mail: [email protected]
Abstract: In this paper, the levitation system of low speed maglev vehicle is taken as the research object, and the suspension principle and adaptive control of the maglev system are discussed. The maglev vehicle is suspended by a combination of multiple electromagnet coils. Therefore, the coupling effect and parameter perturbation can not be considered based on single point levitation. This problem can be solved by building the characteristic model, and the effect of coupling between the electromagnet coils on the suspension performance can be fully considered. Therefore, in order to satisfy the control accuracy of magnetic levitation system, the identification and adaptive problem of the levitation system of the maglev vehicle are studied according to the characteristic modeling theory. Specifically, the general dynamics model of maglev system should be established and improved. The model is transformed into a characteristic model with suspended clearance as control objective. Then, based on the least-squares method with forgetting factor, the coefficient of characteristic model is identified, and the estimation range of each coefficient is calculated. Finally, numerical simulation and experiment are carried out to verify the control effect. The results show that when the general adaptive control method is used to control the model, the characteristic model can better express the coupling effect between the electromagnet coils. It can express the environment variables and parameter interference more effectively. It is convenient to describe the influence of the coupling between the electromagnet coils in the suspension process, and provide a more effective model basis for further improving the control performance.
Keywords: Maglev vehicle, parameter identification, coupling effect, characteristic modeling, adaptive control
DOI: 10.3233/JAE-190005
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 62, no. 1, pp. 73-92, 2019
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