LAPSE:2023.6259
Published Article
LAPSE:2023.6259
Nonlinear Predictive Control of Interior Permanent Magnet Synchronous Machine with Extra Current Constraint
Mengmeng Tian, Hailiang Cai, Wenliang Zhao, Jie Ren
February 23, 2023
The interior permanent magnet synchronous machine (IPMSM) has been widely used in industrial applications due to its several favorable advantages. To further improve the machine performance, an improved nonlinear predictive controller for the IPMSM is proposed. In this paper, the maximum torque per ampere control law is firstly transformed to a linear function, according to the first−order Taylor expansion, and integrated with the control strategy. On this basis, an improved predictive control method is formulated by designing an optimized cost function through the input−output feedback linearization. Then the integral action is introduced to eliminate the influence of the load mutation and improve the steady−state control precision of the system. The stability of the control method is ensured by compelling the outputs to track the desired references without steady−state error. Finally, the simulation was established to verify the effective of the improved control method. Simulation results showed that the machine can reach the given reference speed without steady−state error within a short process, which means the machine has excellent dynamic and static performances. Furthermore, the machine has higher torque−to−current ratio by making full use of the reluctance torque. The simulation results verify the effectiveness of the improved control strategy.
Keywords
input−output feedback linearization, interior permanent magnet synchronous machine, nonlinear predictive control, speed control
Suggested Citation
Tian M, Cai H, Zhao W, Ren J. Nonlinear Predictive Control of Interior Permanent Magnet Synchronous Machine with Extra Current Constraint. (2023). LAPSE:2023.6259
Author Affiliations
Tian M: School of Electrical Engineering, University of Jinan, Jinan 250024, China [ORCID]
Cai H: School of Electrical Engineering, University of Jinan, Jinan 250024, China
Zhao W: School of Electrical Engineering, Shandong University, Jinan 250061, China
Ren J: School of Electrical Engineering, Shandong University, Jinan 250061, China
Journal Name
Energies
Volume
16
Issue
2
First Page
716
Year
2023
Publication Date
2023-01-07
Published Version
ISSN
1996-1073
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PII: en16020716, Publication Type: Journal Article
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doi:10.3390/en16020716
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