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| Resonance-Suppressed Predictive Torque Control of Permanent Magnet Synchronous Motor System with an LC Filter |
| Zheng Changming, Shao Gao, Xie Miao, Zhong Yan, Gong Zheng |
| School of Electrical Engineering China University of Mining and Technology Xuzhou 221116 China |
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Abstract Permanent magnet synchronous motors (PMSMs) driven through long cables are prone to overvoltage issues, which can be mitigated by installing an LC filter before the motor. However, the introduction of an LC filter may lead to resonance instability. This paper proposes a resonance-suppressed predictive torque control (RS-PTC) method for LC-filtered PMSM systems. First, an improved Euler-based prediction model is developed. Second, based on the deadbeat predictive principle for torque and stator flux amplitude, the optimal inverter voltage reference is derived. By incorporating capacitor current feedback for active damping, a weighting factor-free resonance-suppressed predictive torque control (RS-PTC) strategy is formulated, achieving high-performance torque tracking and effective resonance suppression. Furthermore, a low-complexity method for calculating the optimal three-vector duty cycle is designed to improve steady-state performance. Experiments are carried out on an LC-PMSM system. The model accuracy evaluation shows that the proposed improved Euler method achieves higher discretization accuracy than the recursive Euler method, leading to better torque reference tracking. Steady-state tests indicate that the proposed RS-PTC achieves the lowest torque ripple and stator current harmonic distortion at a constant switching frequency, compared with the single-vector PTC and the conventional three-vector PTC. Dynamic performance tests demonstrate that RS-PTC exhibits reduced torque overshoot and ripple during startup and load-step transients. Parameter-mismatch experiments reveal that the proposed RS-PTC is the most robust. Additionally, execution-time comparisons confirm that RS-PTC has the shortest computation time due to its simplified duty-cycle calculation. The following conclusions can be drawn. (1) The proposed discrete prediction model based on the improved Euler method solves the limitations of conventional Euler-based torque prediction and improves prediction accuracy. (2) The RS-PTC strategy effectively suppresses resonance and ensures system stability in LC-PMSM drives. (3) The low-complexity three-vector duty cycle optimization reduces computational burden.
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Received: 03 July 2025
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