Neurofuzzy and fuzzy control of automotive semi-active suspensions

Document Type

Article

Publication Date

1-1-2003

Abstract

A neurofuzzy (NF) adaptive controller in conjunction with a modeling neural network (MNN) applied to a vehicle semi-active suspension control is described. The NF controller employs a simplified fuzzy algorithm which is based on a multi-layer neural networks. The modeling network is used as an estimator which can identify vehicle dynamic model parameters and provide the NF controller with learning signals. The results show that the semi-active suspension methodology exhibits good performance leading to reduction of vehicle vibration.

Identifier

2942535918 (Scopus)

Publication Title

International Journal of Vehicle Autonomous Systems

External Full Text Location

https://doi.org/10.1504/IJVAS.2003.003538

ISSN

14710226

First Page

222

Last Page

236

Issue

2

Volume

1

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