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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of dynamics and control Jg. 13; H. 10; S. 357
Hauptverfasser: Saadat, Seyyed Amirhossein, Keighobadi, Javad, Alfi, Alireza, Abedi Pahnehkolaei, Seyyed Mehdi, Vahedi, Hani
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Heidelberg Springer Nature B.V 01.10.2025
Schlagworte:
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-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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 the robust behavior of the overall system, two disturbance observers are designed on the basis of cascade control. Furthermore, the control parameters are selected optimally using the complex-order particle swarm optimization algorithm. The stability of the overall system is proven by the Lyapunov theorem. The results of the proposed idea are presented and compared with a fuzzy backstepping control approach and a PID controller in the presence of supplied voltage fluctuations as well as the load variations. In addition, the experimental study is also conducted to assess the practicality of the proposed control framework.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2195-268X
2195-2698
DOI:10.1007/s40435-025-01872-7