Open AccessQuarter Car Active Suspension System Control Using PID Controller tuned by PSO
Author(s) -
Wissam Al-Mutar,
Turki Y. Abdalla
Publication year - 2015
Publication title -
iraqi journal for electrical and electronic engineering/al-maǧallaẗ al-ʻirāqiyyaẗ al-handasaẗ al-kahrabāʼiyyaẗ wa-al-ilikttrūniyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.11.2.1
Subject(s) - active suspension , pid controller , control theory (sociology) , suspension (topology) , particle swarm optimization , actuator , controller (irrigation) , damper , engineering , hydraulic cylinder , nonlinear system , vibration , control system , control engineering , computer science , control (management) , temperature control , mathematics , mechanical engineering , agronomy , physics , quantum mechanics , artificial intelligence , homotopy , machine learning , pure mathematics , electrical engineering , biology
The objective of this paper is to design an efficient control scheme for car suspension system. The purpose of suspension system in vehicles is to get more comfortable riding and good handling with road vibrations. A nonlinear hydraulic actuator is connected to passive suspension system in parallel with damper. The Particles Swarm Optimization is used to tune a PID controller for active suspension system. The designed controller is applied for quarter car suspension system and result is compared with passive suspension system model and input road profile. Simulation results show good performance for the designed controller.