Comparative evaluation on switched reluctance motor drive with different phase current sensing methods. Issue 12 (6th November 2019)

• Record Type: Journal Article
• Authors: Xu, Shuai; Chen, Hao; Yang, Jian; Dong, Feng
• Is Part Of: IET electric power applications. Volume 13:Issue 12(2019)
• Page Start: 1964
• Page End: 1975
• Publication Date: 2019-11-06
• Subjects: reluctance motor drives -- finite element analysis -- electric current measurement -- machine control -- reluctance motors -- electric sensing devices -- thermal stresses; switched reluctance motor drive -- different phase current sensing methods -- cost‐effective phase current sensing -- sensor phase current sensing method -- sensor method -- complete phase current information -- shorten -- current sensors; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2019.0212
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : Cost‐effective phase current sensing is critical for the performance improvement of switched reluctance motor drive (SRD). In this study, a new two ‐sensor phase current sensing method is proposed and comparatively investigated with conventional m ‐sensor and one ‐sensor methods. First, the operation principles of the m ‐sensor, one ‐sensor, and proposed two ‐sensor methods are illustrated in detail on a four‐phase SRD. Compared with the one ‐sensor method, the topology can be maintained without splitting the lower bus into freewheeling bus and excitation bus under the two ‐sensor method. Next, an advanced decoupling strategy is presented to obtain the complete phase current information and shorten the region of switch signals injection. With the simulation model in Matlab/Simulink environment, the steady and transient performance of SRD in the proposed method are not inferior to m ‐sensor and one ‐sensor methods. Meanwhile, the proposed two ‐sensor method is demonstrated to own superior thermal stress distribution by the finite‐element model in ANSYS software. Eventually, the dynamic reliability is proved to be not enhanced as the number of current sensors decreases. Finally, an experimental setup with double‐core TMS320F28377D is built to validate the proposed method and evaluation results.