基于虚拟信号注入的新型五相磁场增强型永磁电机主动式MTPA策略
Active maximum torque per ampere strategy of a new five-phase flux-intensifying permanent magnet motor based on virtual signal injection
张丽 1陈希 1朱孝勇 1韩赛1
作者信息
- 1. 江苏大学电气信息工程学院,镇江 212013
- 折叠
摘要
对于五相永磁电机最大转矩电流比(maximum torque per ampere,MTPA)控制系统,由于电机交叉耦合及饱和效应的存在,极大影响MTPA控制精度,无法满足其用于电动汽车领域的多工况运行需求.针对此问题,本文从电机驱动系统的角度,提出一种新的主动式MTPA策略.在电机设计阶段,提前考虑基于虚拟信号注入的MTPA(MTPA based on virtual signal injection,VS1-MTPA)控制精度,提出一种反凸极效应增强的五相磁场增强型内置式永磁容错(flux-intensifying fault-tolerant interior permanent magnet,FIFT-IPM)电机,以抑制交叉耦合及饱和效应对MTPA点追踪精度的影响;同时从控制算法的角度,针对五相FIFT-IPM电机的反凸极特性,提出相应的高精度VSI-MTPA控制策略,进一步提升五相FIFT-IPM电机MTPA控制驱动系统的动稳态性能.最后,搭建电机驱动系统实验平台,验证所提策略的可行性和有效性.
Abstract
The control accuracy of the maximum torque per ampere(MTPA)control system of a five-phase permanent magnet motor is greatly affected by the cross-coupling and saturation effect of the motor;thus,it cannot meet multiple operating requirements for applications in electric vehicles.To overcome this,a new active MTPA strategy from the perspective of a motor drive system is proposed in this work.At the motor design stage,considering the control accuracy of MTPA based on virtual signal injection(VSI-MTPA),a five-phase flux-intensifying fault-tolerant interior permanent magnet(FIFT-IPM)motor with an enhanced negative saliency effect was proposed to suppress the influence of the cross-coupling and saturation effect on the tracking accuracy of the MTPA point.Moreover,for the negative saliency of the five-phase FIFT-IPM motor,a high-accuracy VSI-MTPA control strategy was proposed from the perspective of control algorithms to further improve the dynamic and steady-state performance of the motor drive system.Finally,the experimental platform of the FIFT-IPM motor drive system was built to verify the feasibility and effectiveness of the proposed strategy.
关键词
五相永磁电机/最大转矩电流比/交叉耦合及饱和效应/反凸极/虚拟信号注入Key words
five-phase permanent magnet motor/maximum torque per ampere/cross-coupling and saturation effect/negative saliency/virtual signal injection引用本文复制引用
基金项目
国家自然科学基金(52277051)
国家自然科学基金(51937006)
国家重点研发计划(2022YFB2502703)
出版年
2024
NETL
NSTL
万方数据