PID Kontrolörün Kazanç Katsayılarının Optimizasyonu için Farklı Yöntemlerin Karşılaştırılması-Reference-Cited by-同舟云学术

PID Kontrolörün Kazanç Katsayılarının Optimizasyonu için Farklı Yöntemlerin Karşılaştırılması

Published:2023-12-31 Issue:2 Volume:9 Page:254-264
ISSN:2458-7494
Container-title:Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri Dergisi
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Author:

YILMAZ Gülten¹^ORCID

Affiliation:

1. Kocaeli Üniversitesi Hereke Asım Kocabıyık MYO.

Abstract

Proportional-Integral-Derivative (PID) controller is widely used in technical applications due to its robustness and ease of application. The gain values of a PID controller have a strong impact on performance criteria such as settling time, rise time, and overshoot. Systems that possess at least one of these criteria are considered strong control systems. Adjusting the parameters to obtain the best step response of closed loop control systems is a complex operation. While long known methods such as the Ziegler-Nichols (ZN) method were initially used to compute parameter values, today, metaheuristic algorithms are employed. This article focuses on the tuning of gain parameters of a PID controller using metaheuristic algorithms for the control of a system with a third-order transfer function. The proposed algorithms are Fuzzy Logic (FL), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). The comparison results concluded that GA is the best algorithm for optimization.

Publisher

Kirklareli Universitesi Muhendislik ve Fen Bilimleri Dergisi

Subject

General Medicine

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