Title :
On-line efficiency optimization control of a slip angular frequency controlled induction motor drive using neural networks
Author :
Choy, Ick ; Kwon, Soon H. ; Choi, J.Y. ; Kim, J.W. ; Kim, K.B.
Author_Institution :
Div. of Electron. & Inf., KIST, Seoul, South Korea
Abstract :
Online efficiency control optimization of induction motor drives is important from the viewpoints of energy saving and controlling a system whose characteristics are not fully unknown. The paper presents a neural network-based online efficiency control optimization for an induction motor drive which adopts slip angular frequency control. In the proposed scheme, a neurocontroller adjusts the slip angular frequency adaptively for minimum loss operation based on the measured input power. Simulation results show that considerable energy savings are achieved in comparison with the conventional method of operating under the condition of constant voltage to frequency ratio
Keywords :
adaptive control; control system analysis; control system synthesis; energy conservation; frequency control; induction motor drives; machine control; neurocontrollers; optimal control; slip (asynchronous machines); adaptive frequency control; control design; control simulation; energy savings; induction motor drive; minimum loss operation; neurocontroller; optimal efficiency control; slip angular frequency control; Control systems; Frequency; Induction motor drives; Induction motors; Neural networks; Nonlinear control systems; Optimal control; Power measurement; Torque control; Voltage;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
DOI :
10.1109/IECON.1996.566053
