关断角优化的开关磁阻电机高速控制  

Turn Off Angle Optimization for Switched Reluctance Motor High Speed Control

作　　者：张云[1] 王知学[1] 付东山[2] 解兆延[1] 赵波[1] ZHANG Yun;WANG Zhixue;FU Dongshan;XIE Zhaoyan;ZHAO Bo(Key Laboratory of Automotive Electronics Technology of Shandong,Shandong Academy of Sciences Institute of Automation,Jinan 250014 Shandong,China;Electrical Engineering Institute,Shandong University,Jinan 250014,Shandong,China)

机构地区：[1]山东省科学院自动化研究所山东省汽车电子技术重点实验室,山东济南250014 [2]山东大学电气工程学院,山东济南250061

出　　处：《电气传动》2017年第3期27-31,共5页Electric Drive

摘　　要：首先基于开关磁阻电机的线性模型分析了该类电机高速运行时的控制方法;通过线性模型的分析,得出关断角对电机效率具有重要意义;提出了基于神经网络的关断角优化转速闭环控制策略,给出了神经网络模型的结构及训练方法,并设计了神经网络训练样本数据的获取方法;通过实际样机实验数据的比较测试,验证了设计的基于神经网络关断角优化的开关磁阻电机高速控制策略的正确性。First of all,high speed control method of switched reluctance motor based on the linear model wasanalyzed.Then,the important significance of turn-off angle to SR motor′s efficiency was summarized by analyzing thelinear model.After that,a close-loop control strategy based on turn-off angle optimization using neural network wasproposed,the neural network model and it′s training method were given too,the method of getting the neural networktraining data was also given.Final,the correctness of the SR motor′s high speed control strategy is proved by SR motorexperiments.

关 键 词：开关磁阻电机 关断角效率优化 神经网络 

分 类 号：TM301.2[电气工程—电机]