Flux-Weakening Drive for IPMSM Based on Model Predictive Control

Yunfei Zhang and Rong Qi
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Yunfei Zhang: School of Automation, Northwestern Polytechnical University, 1 Dongxiang Road, Chang’an District, Xi’an 710129, China
Rong Qi: School of Automation, Northwestern Polytechnical University, 1 Dongxiang Road, Chang’an District, Xi’an 710129, China

Energies, 2022, vol. 15, issue 7, 1-14

Abstract: This paper presents a flux-weakening model predictive control (FW-MPC) for the interior permanent magnet synchronous motor (IPMSM) drive system. The FW control is a strategy to extend the IPMSM’s operating region. However, the primary FW needs to track the torque reference and maximize the electrical torque per current amplitude with the current and voltage limitations. The two objects make it impossible to solve the FW problem using the optimization method. We proposed an equivalent optimization problem to simplify the complex FW problem, including two objective functions. The MPC is selected as the controller due to its high robustness and transient performance. The constraints from the equivalent optimization problem are added in the MPC to control the IPMSM in the FW region. The simulation and experiment results indicate that the proposed FW-MPC is feasible and effective in driving the IPMSM in the FW region. The proposed FW-MPC can find the optimal point with the maximum electrical torque satisfying the current and voltage limitations. Therefore, the proposed FW-MPC can extend the IPMSM’s operating region, benefiting the IPMSM’s application.

Keywords: IPMSM; flux-weakening drive; model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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