首页|永磁容错游标轮缘推进电机改进模型预测转矩控制

永磁容错游标轮缘推进电机改进模型预测转矩控制

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为提高永磁容错游标轮缘推进电机(FTPMV-RDM)在正常状态和一相开路故障状态下的控制性能,本文提出了一种基于电压矢量预选的改进模型预测转矩(MPTC)控制方法.针对六相独立H桥逆变器提供的备选电压矢量数量多导致MPTC系统计算量大的问题,首先,采用直接转矩控制中利用转矩、磁链误差及定子磁链位置信息确定预选电压矢量,减少MPTC系统中电压矢量的枚举次数.然后,利用价值函数进行二次筛选得到最优电压矢量.为了实现开路故障下的容错控制,提出了一种更换备选电压矢量表的开路故障容错控制策略.实验结果表明,基于电压矢量预选的FTPMV-RDM模型,本文预测转矩控制算法能够在无故障和一相开路故障下抑制电流畸变,进而有效降低转矩和磁链脉动.
Improved model predictive torque control of permanent magnet fault tolerant vernier rim-drive motor
In order to improve the control performance of fault tolerant permanent magnet vernier rim driven moter(FTPMV-RDM)under normal state and one phase open circuit fault state,an improved model predictive torque control(MPTC)method based on the voltage vector preselection is proposed.In view of the large number of alternative voltage vectors provided by six phase independent H-bridge inverter,which leads to the large amount of calculation of MPTC system,the preselected voltage vector is determined by using torque,flux error and stator flux position information in direct torque control to reduce the enumeration times of voltage vector in MPTC system,and then the optimal voltage vector is obtained by secondary screening using value function.In order to realize fault-tolerant control under open circuit fault,an open circuit fault-tolerant control strategy of replacing alternative voltage vector meter is proposed.The experimental results show that the FTPMV-RDM model predictive torque control algorithm based on the voltage vector preselection can suppress current distortion without fault and one-phase open circuit fault,and then effectively reduce torque and flux ripple.

fault tolerant permanent magnet vernier rim-drive motormodel prediction torque controlfault tolerant controlvoltage vector preselection

安达、朱景伟、李想、乔田怀、郑杰阳

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大连海事大学船舶电气工程学院,辽宁大连 116026

永磁容错游标轮缘推进电机 模型预测转矩控制 容错控制 电压矢量预选

国家自然科学基金中央高校基本科研业务费专项国防科技大学装备综合保障技术重点实验室稳定支持项目

523770373132023522WDZC20235250309

2024

10.7641/CTA.2023.20489

控制理论与应用
华南理工大学 中国科学院数学与系统科学研究院

控制理论与应用

CSTPCD北大核心
影响因子：1.076
ISSN：1000-8152
年,卷(期)：2024.41(5)
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