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Real-time implementation of an on-line trained neural network controller for power electronics converters

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2 Author(s)
Chau, K.T. ; Dept. of Electr. Eng., Hong Kong Polytech., Kowloon, Hong Kong ; Chan, C.C.

Since power electronics converters behave nonlinearly, conventional control strategies such as PID are incapable of obtaining good dynamical performance. This paper addresses implemention of on-line trained neural networks for power electronics converters. A PWM boost converter is used as an example. Real-time implementation of the neural networks is accomplished by using a powerful digital signal processor. The converter is operated as a power amplifier and a power regulator. Both computer simulation and experimental results show that good dynamical performance can be obtained

Published in:

Power Electronics Specialists Conference, PESC '94 Record., 25th Annual IEEE

Date of Conference:

20-25 Jun 1994