DocumentCode
2907381
Title
Adaptive fuzzy logical control for impact absorbing
Author
Yu, Miao ; Zhu, L.X. ; Dong, X.M. ; Liao, C.R.
Author_Institution
Dept. of Optoelectron. Eng., Chongqing Univ., Chongqing
fYear
2008
fDate
1-6 June 2008
Firstpage
1853
Lastpage
1860
Abstract
A new adaptive fuzzy logical control (FLC) strategy using a hybrid Taguchi genetic algorithm (HTGA) is proposed to absorb the impact of car body caused by road bump. The controller consists of two control loops. The inner open loop controls a nonlinear magnet-orheological (MR) damper to achieve tracking of a desired force. The outer loop implements a fuzzy logic controller using HTGA. The HTGA is used to tune the membership functions and control rules of FLC with initial skyhook control rules. To verify the control performance, simulation and road test of the adaptive FLC are carried out. The simulation and experiment results show that adaptive FLC can achieve smaller acceleration peak and shorter adjusting time than sky-hook and passive system under bump input.
Keywords
Taguchi methods; adaptive control; automobiles; fuzzy control; genetic algorithms; impact (mechanical); vehicle dynamics; adaptive fuzzy logical control; car body impact; hybrid Taguchi genetic algorithm; impact absorbing control; initial skyhook control; nonlinear magnet-orheological damper; open loop controls; road bump; Adaptive control; Damping; Fuzzy control; Fuzzy logic; Genetic algorithms; Open loop systems; Programmable control; Roads; Shock absorbers; Tracking loops; fuzzy logical control; genetic algorithm; impact control; magneto-rheological damper;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1098-7584
Print_ISBN
978-1-4244-1818-3
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2008.4630622
Filename
4630622
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