Design of fuzzy controller for magneto-rheological suspension using a hybrid Taguchi genetic algorithm to improve ride quality

Since magneto-rheological (MR) suspension has nonlinearity and uncertainty, a new adaptive fuzzy control strategy using a hybrid Taguchi genetic algorithm (HTGA) is proposed to improve ride quality. The controller consists of two control loops. The inner open loop controls a nonlinear MR damper to a...

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Veröffentlicht in:	Journal of Advanced Science 2006, Vol.18(1+2), pp.107-112
Hauptverfasser:	CHEN, W.M., DONG, X.M., YU, Miao, LIAO, C.R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Fuzzy logic control Hybrid Taguchi genetic algorithm Magneto-rheological suspension
Online-Zugang:	Volltext
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