Adaptive Model Predictive Current Control for DSSRM Drives
Abstract
This paper presents a new current control method for Double-Stator Switched Reluctance Motor (DSSRM) Drives. The proposed current controller is based on Model Predictive Control (MPC) strategy. Moreover, an adaptive estimator is incorporated to follow the inductance variations in a DSSRM. After the introduction of the control method, the proposed controller is validated using simulations. Experimental results will be provided to evaluate the performance improvement.
Recommended Citation
X. Li and P. Shamsi, "Adaptive Model Predictive Current Control for DSSRM Drives," Proceedings of the 2014 IEEE Transportation Electrification Conference and Expo (2014, Dearborn, MI), pp. 1 - 5, Institute of Electrical and Electronics Engineers (IEEE), Jun 2014.
The definitive version is available at https://doi.org/10.1109/ITEC.2014.6861827
Meeting Name
2014 IEEE Transportation Electrification Conference and Expo (ITEC) (2014: Jun. 15-18, Dearborn, MI)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Controllers; Electric Current Control; Electric Utilities; Model Predictive Control; Predictive Control Systems; Reluctance Motors; Adaptive Estimators; Adaptive Modeling; Control Methods; Current Controller; Current-Control Method; Double Stator; Inductance Variation; Switched Reluctance Motor; Electric Machine Theory
International Standard Book Number (ISBN)
978-1479922628
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jun 2014
