Title :
Indirect angle estimation in switched reluctance motor drive using fuzzy logic based motor model
Author :
Ertugrul, Nesimi ; Cheok, Adrian D.
Author_Institution :
Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia
fDate :
11/1/2000 12:00:00 AM
Abstract :
In this paper, a novel rotor position estimation scheme is described that was developed to overcome the drawbacks of the previous sensorless techniques, which were proposed for switched reluctance (SR) motor drives. It is based on fuzzy-logic, and does not require complex mathematical models or large look up tables. The scheme was implemented by using a digital signal processor. The real-time experimental results given in this paper show that the position estimation method proposed can provide accurate and continual position data over a wide range of speeds (zero/low/high), and can also function accurately at different operating conditions (chopping/single pulse mode and steady state/transient operation)
Keywords :
fuzzy logic; machine theory; parameter estimation; reluctance motor drives; rotors; chopping operation; digital signal processor; fuzzy logic based motor model; fuzzy-logic; indirect angle estimation; look up tables; mathematical models; position estimation method; rotor position estimation; sensorless techniques; single pulse mode operation; steady state operation; switched reluctance motor drive; switched reluctance motor drives; transient operation; Digital signal processors; Fuzzy logic; Helium; Mathematical model; Motor drives; Reluctance motors; Rotors; State estimation; Steady-state; Strontium;
Journal_Title :
Power Electronics, IEEE Transactions on