Title :
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
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;
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2011 1st International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4673-5712-8
DOI :
10.1109/ICCKE.2011.6413346
