电气传动2017，Vol.47Issue(7)：12-16,5.DOI:10.19457/j.1001-2095.20170703
基于SVM的最优占空比模型预测电流控制
Optimal Duty Cycle Model Predictive Current Control Based on SVM
徐艳平 1张保程 1周钦 1王极兵1
作者信息
- 1. 西安理工大学电气工程系,陕西 西安 710048
- 折叠
摘要
Abstract
In the duty cycle model predictive current control,the applied voltage vector can not be ensured global optimization because voltage vector and its duty cycle are optimized separately. An optimal duty cycle model predictive current control(MPCC)method based on space vector modulation(SVM)was proposed by analysis of the voltage vector selection. In the proposed method,the duty cycle of every voltage vector was calculated firstly. Then, both voltage vector and its voltage vector duty cycle were optimized simultaneously using the cost function,and the applied voltage vector could be ensured global optimization. Besides,SVM was used to synthesize the voltage vector, where a fixed switching frequency was obtained. Experimental results show that the reduced current ripples of the proposed method is effectively.关键词
最优占空比控制/模型预测控制/电流控制/空间矢量调制Key words
optimal duty cycle control/model predictive control/current control/space vector modulation分类
信息技术与安全科学引用本文复制引用
徐艳平,张保程,周钦,王极兵..基于SVM的最优占空比模型预测电流控制[J].电气传动,2017,47(7):12-16,5.
