Hybrid (DEBBO) Fuzzy Logic Controller for quarter car model: DEBBOFLC for Quarter Car model

Author

Kalaivani, R. ; Lakshmi, P. ; Sudhagar, K.

Author_Institution

DEEE, Anna Univ., Chennai, India

fYear

2014

fDate

9-11 July 2014

Firstpage

301

Lastpage

306

Abstract

In this paper a hybrid Differential Evolution based Biogeography Based Optimization (DEBBO) which converge quickly rather than algorithms without hybridization has been proposed for the tuning of Fuzzy Logic Controller (FLC) applied to a Quarter Car (QC) model with the RMS value of body acceleration as the performance index. It has been proven that the proposed controller works better than the conventional Proportional Integral Differential (PID) controller, DEBBO based PID (DEBBOPID) and intelligent FLC with the same control structure by performing the simulation in MATLABI Simulink environment.

Keywords

acceleration control; fuzzy control; intelligent control; mathematics computing; optimisation; road vehicles; three-term control; DEBBOFLC; Matlab; PID controller; RMS value; Simulink; body acceleration; differential evolution based biogeography based optimization; hybrid fuzzy logic controller; intelligent FLC; proportional integral differential controller; quarter car model; Acceleration; Mathematical model; Optimization; Roads; Suspensions; Tires; Tuning; DEBBO; DEBBOFLC; DEBBOPID; FLC; PID; Quarter Car; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control (CONTROL), 2014 UKACC International Conference on

Conference_Location

Loughborough

Type

conf

DOI

10.1109/CONTROL.2014.6915157

Filename

6915157