Virtual-Flux Finite Control Set Model Predictive Control of Switched Reluctance Motor Drives

被引：0
|
作者：
Valencia, Diego F. [1 ]
Rotilli Filho, Silvio [1 ]
Callegaro, Alan Dorneles [1 ]
Preindl, Matthias [2 ]
Emadi, Ali [1 ]
机构：
[1] McMaster Univ, McMaster Automot Resource Ctr, Hamilton, ON L8S 4L8, Canada
[2] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA
来源：
45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019) | 2019年
关键词：
Finite Control Set Model Predictive Control (FCS-MPC); Hysteresis Current Control; Switched Reluctance Motor; Virtual-Flux Control;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a virtual-flux finite control set model predictive control (FCS-MPC) strategy of switched reluctance motor (SRM) drives is proposed. This technique uses a flux linkage-tracking algorithm to indirectly control the phase current. The algorithm is based on an estimated virtual flux obtained from the static characteristics of the machine. A cost function is used to evaluate the switching state that produces the minimum error. A state graph for switching states limitation is also proposed to reduce the number of commutations and computational burden. Simulation results evidence the enhanced performance of the proposed technique with respect to hysteresis control for current tracking using two different current shaping techniques: torque sharing function (TSF) and radial force shaping (RFS).
引用
收藏
页码：1465 / 1470
页数：6
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