Title :
A neuro fuzzy controller for inverter fed variable speed induction motor drive on the power system
Author_Institution :
Res. & Dev. Inst., Hyosung Ind. Co. Ltd., Seoul, South Korea
Abstract :
The author proposes an adaptive learning pulse width modulation (PWM) for a current controller which adaptively minimizes a current ripple with a constant switching frequency. This employs neuro- and/or fuzzy computing philosophy as well as adaptive learning pattern recognition principles to overcome the problems concerning variations of the system parameters. The proposed system is applied to an electrical drive system with an induction motor(IM) and is studied by various simulations. As opposed to the known classical methods, the proposed system shows the better performance.
Keywords :
adaptive control; electric current control; fuzzy control; induction motors; invertors; learning (artificial intelligence); machine control; neural nets; pattern recognition; power engineering computing; switching; variable speed drives; PWM; adaptive learning pulse width modulation; constant switching frequency; current controller; current ripple minimisation; inverter fed variable speed induction motor drive; neural nets; neuro fuzzy controller; pattern recognition; power system; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; Induction motor drives; Power systems; Programmable control; Pulse power systems; Pulse width modulation; Pulse width modulation inverters;
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264351
