About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
airo 23(1):

Research Article

Implementation of Bio-inspired Algorithms in Designing Optimized PID controller for Cuk Converter for Enhanced Performance: A Software based Approach

Download615 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/airo.4038,
        author={Rafid Kaysar Shagor and Sayka Afreen Mim and Hafsa Akter},
        title={Implementation of Bio-inspired Algorithms in Designing Optimized PID controller for Cuk Converter for Enhanced Performance: A Software based Approach},
        journal={EAI Endorsed Transactions on AI and Robotics},
        volume={2},
        number={1},
        publisher={EAI},
        journal_a={AIRO},
        year={2023},
        month={10},
        keywords={Cuk Converter, PID Controller, Bio-inspired Algorithm, Firefly Algorithm, Particle Swarm Optimization, Artificial Bee Colony},
        doi={10.4108/airo.4038}
    }
    
  • Rafid Kaysar Shagor
    Sayka Afreen Mim
    Hafsa Akter
    Year: 2023
    Implementation of Bio-inspired Algorithms in Designing Optimized PID controller for Cuk Converter for Enhanced Performance: A Software based Approach
    AIRO
    EAI
    DOI: 10.4108/airo.4038
Rafid Kaysar Shagor1,*, Sayka Afreen Mim1,*, Hafsa Akter1,*
  • 1: Islamic University of Technology
*Contact email: rafidkaysar@iut-dhaka.edu, saykaafreen@iut-dhaka.edu, hafsaakter@iut-dhaka.edu

Abstract

This paper represents the idea of implementing bio-inspired algorithms in designing an optimized PID controller to investigate the stability and improve the performance of the closed-loop CUK converter. Bio-inspired algorithms (BIA) such as Firefly Algorithm (FA), Particle Swarm Optimization (PSO) and, Artificial Bee Colony (ABC) are stochastic optimization techniques and have been increasingly applied to attain optimal solution for designing and optimizing power converters in current times. The closed-loop transfer function of the CUK converter has been developed by the State Space Average (SSA) technique. This paper assesses both the cases of converter stability when it is integrated with the conventional PID controller and the BIA-PID controllers (FA-PID, PSO-PID, ABC-PID) and eventually compares the outcomes from all the controllers. For examining the stability of the system, three objective functions (IAE, ITAE, and ISE) and various performance specifications such as percentage of overshoot, rise time, settling time, and peak amplitude are tabulated. MATLAB and Simulink are used to carry out the simulations meticulously. Hence, a comparative analysis is illustrated in this paper to state a clear-sighted evaluation of the performances.

Keywords
Cuk Converter, PID Controller, Bio-inspired Algorithm, Firefly Algorithm, Particle Swarm Optimization, Artificial Bee Colony
Received
2023-10-02
Accepted
2023-10-27
Published
2023-10-31
Publisher
EAI
http://dx.doi.org/10.4108/airo.4038

Copyright © 2023 R. K. Shagor et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL