Optimization of Classical PID and Fuzzy PID Controllers of a nonlinear quarter car suspension system using PSO algorithm

Author

Sadeghi, M.S. ; Varzandian, Saeed ; Barzegar, Ali

Author_Institution

Control Eng. Dept., Shiraz Univ. of Technol., Shiraz, Iran

fYear

2011

fDate

13-14 Oct. 2011

Firstpage

172

Lastpage

176

Abstract

In this paper, an optimized fuzzy controller is designed for an active suspension system. we are trying to optimize Classical PID, Fuzzy PD+I and Fuzzy PID Controllers using PSO algorithm in order to achieve the desired output response. The main purpose of these controllers is to decrease vertical car body displacement and achieve suitable control signal, hence it will be more comfortable conditions for passengers. Simulation results show excellent efficiency of the proposed controllers.

Keywords

automobiles; control system synthesis; fuzzy control; particle swarm optimisation; suspensions (mechanical components); three-term control; PSO algorithm; active suspension system; classical PID controllers; fuzzy PID controllers; nonlinear quarter car suspension system; optimization; optimized fuzzy controller; suitable control signal; vertical car body displacement; Genetic algorithms; Mathematical model; Niobium; Optimization; Suspensions; Tuning; Vehicles; Fuzzy PD+I; Fuzzy PID; Nonlinear car suspension system; PID Optimization using PSO algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Knowledge Engineering (ICCKE), 2011 1st International eConference on

Conference_Location

Mashhad

Print_ISBN

978-1-4673-5712-8

Type

conf

DOI

10.1109/ICCKE.2011.6413346

Filename

6413346