Modeling and Analysis of SEPIC Converter Stability by Gray Wolf Multi-Objective Algorithm

Subject Areas : Electronic Engineering

Seyed Mohamad Naji Esfahani ¹ , Seyed Hamid Zahiri ² , Majid Delshad ³

1 - Department of Electrical and Computer Engineering, Birjand University, Birjand, Iran
2 - Department of Electrical and Computer Engineering, Birjand University, Birjand, Iran
3 - Department of Electrical Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Khorasgan, Isfahan, Iran

Received: 2022-03-22 Accepted : 2022-07-17 Published : 2022-08-23

Keywords: PID controllers, SEPIC Converter, Gray Wolf Multi-Objective Algorithm,

Abstract :

This paper investigates the closed loop stability of the SEPIC converter using an optimal PID controller; In this model, the parameters are adjusted using the Gray Wolf Multi-Objective (MOGWO) algorithm. The Gray Wolf Multi-Objective Algorithm is a random evolution-inspired random algorithm that has been widely used in recent years as an optimization technique in power electronics. The state mode average method has been used to model and achieve the transducer-based system transfer function. Therefore, the MOGWO-based PID controller has been studied and implemented in the system to enable the converter stability to be evaluated and compared with conventional PID controllers. To evaluate the stability of the system, various performance parameters such as overtaking percentage, peak time, settling time and peak size have been considered. The impact response of the closed-loop system is obtained by simulation in MATLAB. The performance of the model is evaluated to perform a general comparative analysis of the system.

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