Abstract
Since power electronics converters behave nonlinear, conventional control strategies such as PID are incapable of obtaining good dynamical performance. This paper addresses to implement on-line trained neural networks for power electronics converters. A PWM boost converter is used for exemplification. Real-time implementation of the neutral 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.
Original language | English |
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Pages (from-to) | 321-327 |
Number of pages | 7 |
Journal | PESC Record - IEEE Annual Power Electronics Specialists Conference |
Volume | 1 |
Publication status | Published - 1994 |
Event | Proceedings of the 1994 25th Annual IEEE Power Electronics Specialists Conference. Part 2 (of 2) - Taipei, Taiwan Duration: 20 Jun 1994 → 24 Jun 1994 |
ASJC Scopus subject areas
- Modelling and Simulation
- Condensed Matter Physics
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering