ZHANG Li, XU Konghao, ZHU Xiaoyong, et al. Fault-tolerant Control of Five-phase Flux Intensifying Permanent Magnet Motor Based on Dual-plane Fast Multi-vector Model Predictive Control[J]. 2025, (24): 9741-9752.
DOI:
ZHANG Li, XU Konghao, ZHU Xiaoyong, et al. Fault-tolerant Control of Five-phase Flux Intensifying Permanent Magnet Motor Based on Dual-plane Fast Multi-vector Model Predictive Control[J]. 2025, (24): 9741-9752. DOI: 10.13334/j.0258-8013.pcsee.241854.
Fault-tolerant Control of Five-phase Flux Intensifying Permanent Magnet Motor Based on Dual-plane Fast Multi-vector Model Predictive Control
Owing to the inverse saliency characteristic and high third-harmonic content
the five-phase flux-intensifying fault-tolerant interior permanent magnet (FIFT-IPM) motor has the advantages of large torque output
small parameter variation and strong fault tolerance
which can meet the requirements of electric vehicle for its driving motor under variable operating conditions. The model predictive fault-tolerant control strategy has the characteristics of good dynamic stability and simple control system structure
which can achieve stable operation under motor faults. However
due to the rich third-harmonic back-EMF content of the five-phase FIFT-IPM motor
the existing model predictive current fault-tolerant control algorithms cannot effectively track the fundamental and third-harmonic current. Also
the third-harmonic back-EMF will produce additional torque ripple
which will further worsen the performance of fault-tolerant control. Therefore
a dual-plane fast multi-vector model predictive fault-tolerant control strategy is proposed
which can achieve effective control of the fundamental and harmonic planes while ensuring good dynamic and steady-state performance. In addition
a novel method of injecting low-order even-harmonic currents is developed to suppress torque ripple and ensure high-quality torque output. Finally
the feasibility and effectiveness of the proposed control strategy are verified by experimental results.