摘要
针对传统有限集模型预测控制开关频率不固定,系统计算量大等缺陷,提出并采用一种新型基于最优矢量序列作用时间的改进型模型预测控制算法,通过直接生成最优电压矢量作用时间有效规避了传统模型预测算法计算量大、开关频率不固定的缺陷。文中给出了详细的理论设计思路。为了验证所提出的模型预测控制策略的正确性和有效性,基于PSIM仿真软件建立了数字控制下的完整仿真模型,并进一步基于实验平台进行了必要的实验验证。仿真和实验结果表明了文中所提出的最优矢量序列模型预测算法的可靠性。
To improve the shortcomings of the traditional finite control set model predictive control,this with the disadvantage of unfixed switching frequency and large amount of system calculation. A new improved model predictive control algorithm based on the optimal vector sequence acting time was proposed,and the disadvantage of traditional model prediction algorithm was effectively avoided by generating the optimal voltage vector switching time directly. To verify the correctness and effectiveness of the proposed improved model predictive control strategy,the complete digital PSIM simulation model was established,further,the necessary experimental verification was given based on the experimental platform. The reliability of the proposed optimal vector sequence model prediction algorithm was fully verified by the simulation and experiment results.
作者
邢洁
党超亮
XING Jie;DANG Chaoliang(Xi'an Electricity College,Xi’an 710032,China;School of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China)
出处
《微电机》
北大核心
2019年第5期57-61,共5页
Micromotors
基金
国家自然科学基金面上项目(51877176)
关键词
T型并网变换器
模型预测
最优矢量序列
T-type grid inverter
model predictive
optimal vector sequence