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| Segmented Error Optimization Predictive Current Control of LC-Filtered PMSM System |
| Xie Miao1, Zheng Changming1, Ke Jiapeng1, Mao Yongqiang2, Wu Xiaojie1 |
1. School of Electrical Engineering China University of Mining and Technology Xuzhou 221116 China;
2. Linyi Power Supply Company State Grid Shandong Electric Power Co. Ltd Linyi 276000 China |
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Abstract Currently, voltage source inverters (VSIs) based on pulse width modulation (PWM) strategies are widely used in permanent magnet synchronous motor (PMSM) drive systems due to their excellent variable frequency control performance. However, the traveling wave reflection effect of transmission cables can cause overvoltage problems at the motor side, damaging motor insulation. An LC-filtered permanent magnet synchronous motor (LC-PMSM) drive system can filter square-wave pulse voltages into approximate sine-wave voltages, effectively mitigating overvoltage. Nevertheless, the introduction of LC filters increases the order of the system's dynamic equations, leading to unexpected resonance and unsatisfactory steady-state performance. Therefore, this paper proposes a segmented error optimization predictive current control (SEO-PCC) strategy.
First, a symmetric three-vector sequence modulation scheme is adopted to ensure a fixed switching frequency during system operation. Then, an inductor current trajectory prediction model is established based on the inductor current gradient equation. A quadratic cost function is designed based on the segmented current reference tracking error. By minimizing the global reference tracking error of the inductor current, the system's steady-state performance is improved. Additionally, to actively suppress the inherent resonance of the LC-PMSM system, an active damping component based on virtual resistance is incorporated into the cost function.
The tests are conducted using an LC-PMSM drive platform. The results show that the square-wave pulse voltage output by the inverter can be effectively filtered into a sine-wave voltage through the LC filter to drive the motor, thereby alleviating overvoltage issues. Furthermore, under different operating conditions such as motor start-up, speed regulation, and load changes, the proposed SEO-PCC can suppress system resonance through active damping. Compared to conventional MPC, the SEO-PCC demonstrates comparable dynamic performance, with feedback values rapidly tracking reference values. Regarding steady-state performance, the total harmonic distortion (THD) of the stator current is lower than that of conventional MPC. In addition, the harmonic components of the stator current are primarily concentrated around the switching frequency and its integer multiples, which is advantageous for the design of the LC filter.
The following conclusions can be drawn. (1) The proposed SEO-PCC employs a symmetric three-vector sequence modulation algorithm, maintaining a fixed switching frequency during system operation. (2) A quadratic cost function based on segmented current reference tracking error is designed, aiming at minimizing the global reference tracking error of the inductor current and improving the system's steady-state performance. (3) The system resonance is actively damped by embedding an active damping component based on virtual resistance in the quadratic cost function, ensuring the stability of the system.
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Received: 21 February 2025
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2026, Vol. 41 
