Publication Date:
2015-04-18
Description:
BLIM, i.e. bearingless induction motor, is a multi-variable, nonlinear and strong coupling object. To achieve its dynamic decoupling control with high performance, a novel dynamic decoupling control strategy is proposed. After analyzing the working principle and mathematical model of BLIM, the state equations based on stator flux orientation are established firstly. On the basis of reversibility analysis of BLIM system, the inverse system dynamic mathematical model based on stator flux orientation is derived. And then, adopting inverse system method, the control system of BLIM is uncoupled to four linear subsystems, including: motor speed subsystem, stator flux subsystem, and two radial displacement components subsystems. System simulation results have shown that reliable dynamic decoupling control between relevant variables can be realized, higher static and dynamic control performance can be achieved; in particular, the influence of rotor parameters on the identification precision of motor magnetic flux-linkage can be avoided effectively. The proposed inverse system decoupling control strategy based on stator flux orientation is effective and feasible; a new way has been provided for high performance decoupling control of bearingless induction motor. Content Type Journal Article Pages - DOI 10.3233/JAE-140202 Authors Wenshao Bu, Information Engineering College, Henan University of Science and Technology, Luoyang, Henan, China Chunxiao Lu, Information Engineering College, Henan University of Science and Technology, Luoyang, Henan, China Conglin Zu, Information Engineering College, Henan University of Science and Technology, Luoyang, Henan, China Haitao Zhang, Information Engineering College, Henan University of Science and Technology, Luoyang, Henan, China Juanya Xiao, Information Engineering College, Henan University of Science and Technology, Luoyang, Henan, China Journal International Journal of Applied Electromagnetics and Mechanics Online ISSN 1875-8800 Print ISSN 1383-5416
Print ISSN:
1383-5416
Electronic ISSN:
1875-8800
Topics:
Electrical Engineering, Measurement and Control Technology
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Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
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