中国电机工程学报2017，Vol.37Issue(22)：6524-6533,10.DOI:10.13334/j.0258-8013.pcsee.171144
基于电压矢量优化的磁通反向永磁电机模型预测转矩控制
Voltage Vector Optimization-based Model Predicted Torque Control of Flux-reversal Permanent Magnet Machines
摘要
Abstract
To alleviate the torque ripples of flux-reversal permanent magnet (FRPM) machines,this paper developed a model predict torque control scheme with voltage vector optimization for FRPM machines.Based on the analytical derivations of the relationship between basic voltage vectors and electromagnetic torque,and the relationship between basic voltage vectors and flux amplitude,respectively,the voltage vector was set as the controlled variable only,instead of flux amplitude and torque eventually,which avoided the process to tune the weighting factors.Meanwhile,by combining rapid screening of basic voltage vectors and duty ratio control,the functioning time of effective voltage vectors can be calculated quickly on the premise of reducing the candidates of alternative vectors.On the other hand,pulse width modulation (PWM)method for precise control of FRPM machine was also employed to reduce the flux amplitude ripple and consequently torque ripple,improving the control performance.Both simulations and experimental results on a prototyped FRPM machine verify the effectiveness of the proposed method.关键词
磁通反向永磁电机/模型预测转矩控制/权重系数/价值函数/电压矢量/快速筛选/占空比Key words
flux-reversal permanent magnet (FRPM) machine/model predicted torque control (MPTC)/weighting factor/cost function/voltage vector/rapid screening/duty ratio分类
信息技术与安全科学引用本文复制引用
殷芳博,花为,黄文涛,周志强..基于电压矢量优化的磁通反向永磁电机模型预测转矩控制[J].中国电机工程学报,2017,37(22):6524-6533,10.基金项目
国家重点基础研究发展计划项目(973计划)(2013CB035605).The National Key Fundamental Research Program of China (973 Program)(2013CB035605). （973计划）
