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

作　　者：殷芳博 花为[1] 黄文涛 周志强 

机构地区：[1]东南大学电气工程学院,江苏省南京市210096

出　　处：《中国电机工程学报》2017年第22期6524-6533,共10页Proceedings of the CSEE

基　　金：国家重点基础研究发展计划项目(973计划)(2013CB035605)~~

摘　　要：为了降低磁通反向永磁电机的转矩脉动,提出了一种基于电压矢量优化的模型预测转矩控制方法。首先,通过解析基本电压矢量与电磁转矩、磁链幅值两者之间的内在联系,将对转矩和磁链这两个变量的控制转化为对基本电压矢量的控制。由于控制变量减少为仅有电压矢量,进而避免了权重系数整定的问题。同时,采用基本电压矢量筛选和占空比控制相结合的方法,在减少备选矢量的前提下可以快速计算出有效电压矢量的作用时间。另一方面,结合脉宽调制方法可实现对电机的精确控制,降低了磁链幅值脉动和转矩脉动,提高了控制性能。仿真与实验结果都表明,该算法具有良好的控制性能。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 

分 类 号：TM351[电气工程—电机]