Title :
Neural network control of induction motor drives for energy efficiency and high dynamic performance
Author :
Hasan, K.M. ; Zhang, Li ; Singh, B.
Author_Institution :
Dept. of Electr. & Electron. Eng., Bradford Univ., UK
Abstract :
This paper describes the use of neural networks in maximizing the efficiency of an induction motor drive. Based upon the principle that the flux level in a machine can be adjusted to give the minimum amount of losses for a given value of speed and load torque, a neural network model is used to predict the optimal flux level in a vector-controlled induction motor drive system, achieving both high dynamic response and optimal efficiency. Simulation studies were performed on a vector-controlled induction motor drive
Keywords :
dynamic response; energy conservation; induction motor drives; losses; machine control; magnetic flux; neurocontrollers; energy efficiency; flux level; high dynamic performance; high dynamic response; induction motor drives; load torque; losses; neural network control; neural network model; optimal efficiency; optimal flux level; speed; vector-controlled induction motor drive system; Energy efficiency; Inductance; Induction motor drives; Magnetic flux; Neural networks; Optimal control; Predictive models; Rotors; Stator cores; Torque;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3932-0
DOI :
10.1109/IECON.1997.671782
