Model Predictive Control of Bearingless Motor Model Based on Conditional Trigger

Bearingless Permanent Magnet Synchronous Motors (BPMSM) have broad prospects due to their high speed, quiet and no physical contact. In this paper, the conditional triggering model predictive control (MPC) is introduced into the control method of the bearingless motor suspension winding, which solve...

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Bibliographic Details
Main Authors: Zhang, Duanni, Huang, Shoudao, Chen, Luhan, Zhao, He, Zhou, Jiaxin
Format: Conference Proceeding
Language:English
Subjects:
boundary sampling strategy
BPMSM
conditional trigger
Control systems
Mathematical model
MPC
Permanent magnet motors
Predictive control
Rotors
Synchronous motors
Windings
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Summary:Bearingless Permanent Magnet Synchronous Motors (BPMSM) have broad prospects due to their high speed, quiet and no physical contact. In this paper, the conditional triggering model predictive control (MPC) is introduced into the control method of the bearingless motor suspension winding, which solves the problem that the traditional model predictive control has large calculation amount and long control period, and introduces the model predictive control into the bearingless for the first time. In the motor, good test results have been achieved.
ISSN:2642-5513
DOI:10.1109/ICEMS.2019.8921550