Rotor resistance identification using artificial neural networks for an indirect vector controlled induction motor drive

IECON Proceedings (Industrial Electronics Conference)

Volumn 2, Issue , 2001, Pages 1315-1320

  Karanayil, B ^a   Rahman, M F ^a   Grantham, C ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; ELECTRIC DRIVES; ELECTRIC RESISTANCE; MAGNETIC FLUX; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; REAL TIME SYSTEMS; ROTORS; TORQUE CONTROL;

BACK PROPAGATION NEURAL NETWORK; REAL TIME ADAPTIVE ESTIMATION; ROTOR RESISTANCE;

INDUCTION MOTORS;

EID: 0035692561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. A review of parameter sensitivity and adaptation in indirect vector controlled induction motor drive systems
2. A simplified approach to continuous on-line tuning of field oriented induction motor drives
3. A simple on-line adaptation for indirect field orientation of an induction machine
4. On-Line stator and rotor resistance estimation for induction motors
5. Global adaptive output feedback control of induction motors with uncertain rotor resistance
6. An effective method of rotor resistance identification for high performance induction motor vector control
7. A high performance induction motor drive with on-line rotor time-constant estimation
8. Rotor resistance estimation using fuzzy logic for high performance induction motor drives
9. Model reference adaptive fuzzy controller and fuzzy estimator for high performance induction motor drives
10. Adaptive stator resistance compensator for high performance direct torque controlled induction motor drives
11. Identification of induction motor speed using neural networks
12. Power Electronics and AC drives
13. A complete dynamic model for a PWM VSI-fed rotor flux oriented vector controlled induction motor drive using SIMULINK