News Updates Monday 25th Nov 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Algorithm for optimized PID Controller design using Performance index parameter


Author : Chaman Yadav and Mahesh Singh

Pages : 2015-2020
Download PDF
Abstract

Controllers are widely used in power industrial field to control system because wide range of the tuned parameter. There are several methods which are used to tune the controller parameters. They are categorized into two types known as classical methods and modern methods. This paper presents the design of controller to tuned by the one of the modern algorithm techniques i.e. Particle Swarm Optimization (PSO). In this paper the use of PSO method tuned the PID parameter to make them more general and to achieve the steady state error limit, also to improve the dynamic behavior of the system. The performance and design criteria of automatic selection of controller constants are discussed below.

Keywords: PSO Particle Swarm Optimization BFO Bacterial Foraging Optimization PID Proportional Integral Derivative

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)

 

Call for Papers
  1. IJCET- Current Issue
  2. Issues are published in Feb, April, June, Aug, Oct and Dec
  3. DOI is given to all articles
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved