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| Improved Multi-Vector Model Predictive Current Control of Dual-Three-Phase Permanent Magnet Synchronous Motors Based on xy Subspace Closed-Loop Current Control |
| Xu Qiwei1, Yi Liangwu1, Xia Bo2, Miao Yiru1, Cai Huaxiang3 |
1. State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing University Chongqing 400044 China;
2. College of Electrical and Information Engineering University of South China Hengyang 421001 China;
3. Guizhou Aerospace Linquan Motor Co. Ltd Guiyang 562400 China |
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Abstract The dual-three-phase permanent magnet synchronous motor (DTP-PMSM) features low drive voltage, high torque density, strong fault tolerance, and minimal torque ripple. It is ideal for electric vehicles, ship propulsion, aerospace, and wind power systems.
The finite set model predictive control (MPCC) offers fast dynamic response and multi-objective control, drawing widespread attention and research in recent years. However, applying MPCC to DTP-PMSM presents challenges such as poor torque-current control due to the limited d-q subspace voltage range and steady-state current tracking errors caused by motor parameter mismatches. Additionally, the equivalent input voltage caused by inverter nonlinearity and back EMF harmonics, particularly the 5th and 7th harmonics, acts on the lower-impedance x-y subspace. It is prone to generating harmonic currents that reduce motor efficiency.
Therefore, this paper proposes an improved multi-vector model predictive current control (MPCC) method for DTP-PMSM based on closed-loop current control in the x-y subspace. The proposed method mainly consists of four steps. Firstly, the virtual voltage vectors in the α-β and x-y subspaces are synthesized using the same combination of basic voltage vectors, simplifying the control of currents in both subspaces. Secondly, a generalized proportional-integral observer is used in the d-q subspace to detect and compensate for aggregated disturbances, enhancing current control accuracy. Then, a proportional-integral controller and virtual voltage vectors in the x-y subspace are used to implement closed-loop control of the x-y subspace. Finally, a fast voltage vector selection method for simultaneous control in both subspaces and an inverter pulse generation method to reduce current ripple by shortening individual voltage vector durations are proposed.
A comparative experiment was conducted to analyze the traditional multi-vector model predictive current control (MPCC1), the GPIO-based multi-virtual voltage vector MPCC (MPCC2), and the proposed method (MPCC3). Steady-state tests were conducted, and the A-phase current was analyzed using a fast Fourier transform. At 600 r/min and 2.5 N·m, the total harmonic distortion (THD) for MPCC1, MPCC2, and MPCC3 were 10.52%, 10.67%, and 5.31%, respectively. The 5th harmonic distortion rates were 8.99%, 9.11%, and 3.73%; the 7th were 4.00%, 4.03%, and 2.21%. The results demonstrated that the proposed method effectively suppresses harmonic currents while maintaining the current control performance in the d-q subspace. Dynamic tests were then conducted. When the reference speed was suddenly increased, the GPIO-based method showed smaller current tracking errors, while all three methods exhibited similar dynamic performance.
The following conclusions are drawn. (1) The proposed method suppresses x-y subspace harmonic currents with a lower computational burden than traditional multi-vector MPCC. (2) The proposed method maintains dynamic and steady-state current tracking performance. (3) The proposed method suppresses harmonic currents in the x-y plane, and the proportional-integral controller limits the elimination.
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Received: 16 July 2024
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2025, Vol. 40 
