DocumentCode
1594783
Title
Sensorless rotor position estimation algorithm for switched reluctance motors using fuzzy logic
Author
Wang, Zhongfang ; Cheok, Adrian David ; Wee, Lim Khiang
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1701
Abstract
This paper presents a novel fuzzy logic based angle estimation scheme for the switched reluctance motor (SRM), which employs several performance enhancement algorithms to improve the estimation accuracy. Both simulation and experiment results show high accuracy in this scheme
Keywords
control system analysis; control system synthesis; fuzzy control; machine theory; machine vector control; parameter estimation; position control; reluctance motors; rotors; SRM; control design; control simulation; estimation accuracy; fuzzy logic based angle estimation scheme; performance enhancement algorithms; sensorless rotor position estimation algorithm; switched reluctance motor; Costs; Couplings; Fuzzy logic; Fuzzy sets; Magnetic flux; Mathematical model; Observers; Reluctance machines; Reluctance motors; Rotors;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location
Vancouver, BC
ISSN
0275-9306
Print_ISBN
0-7803-7067-8
Type
conf
DOI
10.1109/PESC.2001.954364
Filename
954364
Link To Document