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

Rafid Kaysar Shagor; Fahim Faisal; Mirza Muntasir Nishat; Sayka Afreen Mim; Hafsa Akter

doi:10.4108/airo.4038

Authors

Rafid Kaysar Shagor Islamic University of Technology
Fahim Faisal Islamic University of Technology
Mirza Muntasir Nishat Islamic University of Technology
Sayka Afreen Mim Islamic University of Technology
Hafsa Akter Islamic University of Technology

DOI:

https://doi.org/10.4108/airo.4038

Keywords:

Cuk Converter, PID Controller, Bio-inspired Algorithm, Firefly Algorithm, Particle Swarm Optimization, Artificial Bee Colony

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.

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