Title :
A basic algorithm of sensorless rotor position detection using fuzzy logic for the switched reluctance motor drives
Author :
Eyguesier, Clement ; Tseng, K.J. ; Yan, Feng ; Cao, S.
Author_Institution :
Dept. of Electrotech. Eng., ESIEE, Amiens, France
Abstract :
This paper presents a simple method to estimate in a continuous way the rotor position of the switched reluctance (SR) motor without position sensors. It combines the well-tried flux/current method with basic fuzzy logic systems and a prediction of the position by linear interpolation. The estimation algorithm has been implemented on software under Matlab for a dynamic simulation of the motor drive system. A model of an 8/6 four phases SR motor has been developed for this purpose. The algorithm shows good results under the whole range of motor speed, for different operating conditions (chopping/single pulse mode, start-up/transient operations) in terms of accuracy and robustness
Keywords :
control system analysis computing; electric machine analysis computing; machine theory; machine vector control; parameter estimation; position control; reluctance motor drives; robust control; rotors; Matlab; accuracy; computer simulation; control simulation; dynamic simulation; flux/current method; four-phase SRM drive; fuzzy logic position control scheme; linear interpolation; operating conditions; position prediction; robustness; sensorless rotor position detection; switched reluctance motor drives; Couplings; Current measurement; Fuzzy logic; Mathematical model; Motor drives; Phase estimation; Reluctance motors; Rotors; Sampling methods; Strontium;
Conference_Titel :
Industrial Electronics, 1999. ISIE '99. Proceedings of the IEEE International Symposium on
Conference_Location :
Bled
Print_ISBN :
0-7803-5662-4
DOI :
10.1109/ISIE.1999.798695
