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

Seyyed Amirhossein Saadat; Javad Keighobadi; Alireza Alfi; Seyyed Mehdi Abedi Pahnehkolaei; Hani Vahedi

doi:10.1007/s40435-025-01872-7

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

Seyyed Amirhossein Saadat^*, Javad Keighobadi, Alireza Alfi, Seyyed Mehdi Abedi Pahnehkolaei, Hani Vahedi

^*Corresponding author for this work

DC systems, Energy conversion & Storage

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

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.

Original language	English
Article number	357
Number of pages	20
Journal	International Journal of Dynamics and Control
Volume	13
Issue number	10
DOIs	https://doi.org/10.1007/s40435-025-01872-7
Publication status	Published - 2025

Bibliographical note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Buck converter
Disturbance observer
Neural network
Optimization algorithm
Robust control
Stability

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title = "Improved robust adaptive cascade control of buck converters using complex-order PSO algorithm: Theory and experiments",

abstract = "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.",

keywords = "Buck converter, Disturbance observer, Neural network, Optimization algorithm, Robust control, Stability",

author = "Saadat, {Seyyed Amirhossein} and Javad Keighobadi and Alireza Alfi and {Abedi Pahnehkolaei}, {Seyyed Mehdi} and Hani Vahedi",

note = "Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

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AU - Saadat, Seyyed Amirhossein

AU - Keighobadi, Javad

AU - Alfi, Alireza

AU - Abedi Pahnehkolaei, Seyyed Mehdi

AU - Vahedi, Hani

N1 - Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - Buck converter

KW - Disturbance observer

KW - Neural network

KW - Optimization algorithm

KW - Robust control

KW - Stability

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

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