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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7067-8
DOI :
10.1109/PESC.2001.954364
