Improved robust adaptive cascade control of buck converters using complex-order PSO algorithm: theory and experiments

This article attempts to design an improved robust controller for the DC-DC buck converters subject to the load variations. The design mechanism is given by adopting the radial basis function neural networks for identifying unknown terms in which the neural weights are updated adaptively. To improve...

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Bibliographic Details

Published in:	International journal of dynamics and control Vol. 13; no. 10; p. 357
Main Authors:	Saadat, Seyyed Amirhossein, Keighobadi, Javad, Alfi, Alireza, Abedi Pahnehkolaei, Seyyed Mehdi, Vahedi, Hani
Format:	Journal Article
Language:	English
Published:	Heidelberg Springer Nature B.V 01.10.2025
Subjects:	Algorithms Buck converters Cascade control Control systems design Controllers Disturbance observers Load fluctuation Neural networks Optimization Parameter identification Particle swarm optimization Proportional integral derivative Radial basis function Robust control Systems stability
ISSN:	2195-268X, 2195-2698
Online Access:	Get full text
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