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- Title
Predictor-based iterative neural dynamic surface control for three-phase voltage source PWM rectifier.
- Authors
Diao, Liang; Wang, Dan; Peng, Zhouhua; Guo, Lei
- Abstract
This paper addresses the control problem of a three-phase voltage source pulse width modulation rectifier in the presence of parametric uncertainties and external time-varying disturbances. An adaptive controller is designed by combining a modified dynamic surface control method and a predictor-based iterative neural network control algorithm. Especially, neural networks with iterative update laws based on prediction errors are employed to identify the lumped uncertainties. Besides, a finite-time-convergent differentiator, instead of a first-order filter, is used to obtain the time derivative of the virtual control law. Using a Lyapunov-Krasovskii functional, it is proved that all signals in the closed-loop system are ultimately uniformly bounded. Both simulation and experimental studies are provided to show the effectiveness of the proposed approach. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
- Subjects
PULSE width modulation rectifiers; IDEAL sources (Electric circuits); ITERATIVE methods (Mathematics); TIME-varying systems; ALGORITHMS; ARTIFICIAL neural networks
- Publication
IEEJ Transactions on Electrical & Electronic Engineering, 2017, Vol 12, Issue 6, p942
- ISSN
1931-4973
- Publication type
Article
- DOI
10.1002/tee.22486