Hardware — software hybrid open single phase diagnostic scheme for PMAC machines

Author

Kuruppu, Sandun S. ; Kulatunga, N. Athula

Author_Institution

Purdue Univ., West Lafayette, IN, USA

fYear

2013

fDate

9-11 May 2013

Firstpage

1

Lastpage

5

Abstract

Electric machines being the sole means of converting electrical energy to mechanical energy, advancement of hybrid electric vehicle technology and electric vehicle technology demands sophisticated motor controls. Inherent advantages of permanent magnet AC (PMAC) machines have made it one of the most preferable means of electromechanical energy conversion in a wide range of applications with the transportation industry (ground, sea and air) being a crucial area. Fault detection capabilities in transportation applications are crucial in guaranteeing safe and reliable operation. Increasing regulations require more safety features to be included in HEVs and EVs. Open phase fault diagnostic scheme presented in this paper reduces the burden on the Digital Signal Processor by eliminating RMS calculation of phase current with the means of an RMS generating analog circuit.

Keywords

AC motor drives; electrical engineering computing; fault diagnosis; hybrid electric vehicles; least mean squares methods; permanent magnet motors; HEV; PMAC machine; PMAC motor drives; RMS calculation; analog circuit; digital signal processor; electric machine; electrical energy; electromechanical energy conversion; fault detection; hardware-software hybrid scheme; hybrid electric vehicle technology; open single phase diagnostic scheme; permanent magnet AC; phase current; safety features; transportation application; Circuit faults; Fault detection; Fault tolerance; Fault tolerant systems; Hardware; Signal processing algorithms; Switches; ); Hardware RMS Calculation; PMAC Motor Drives; single open phase fault diagnostics;

fLanguage

English

Publisher

ieee

Conference_Titel

Electro/Information Technology (EIT), 2013 IEEE International Conference on

Conference_Location

Rapid City, SD

ISSN

2154-0357

Print_ISBN

978-1-4673-5207-9

Type

conf

DOI

10.1109/EIT.2013.6632647

Filename

6632647