Performance Analysis of Half Car Suspension Model with 4 DOF using PID, LQR, FUZZY and ANFIS Controllers
Open Access
- 1 January 2017
- journal article
- Published by Elsevier BV in Procedia Computer Science
- Vol. 115, 2-13
- https://doi.org/10.1016/j.procs.2017.09.070
Abstract
No abstract availableThis publication has 7 references indexed in Scilit:
- Road profile classification for vehicle semi-active suspension system based on Adaptive Neuro-Fuzzy Inference SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Auto tuning of PID controllerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Implementation of Adaptive Neuro Fuzzy Inference System controller on magneto rheological damper suspensionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Performance analysis of quarter car active suspension system: LQR and H∞ control strategiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- A comparative analysis of LQR and Fuzzy logic Controller for active suspension using half car modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Control of an active suspension using fuzzy logicPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Active suspension of passenger cars using linear and fuzzy-logic controlsControl Engineering Practice, 1999