期刊名称：International Journal on Smart Sensing and Intelligent Systems
印刷版ISSN：1178-5608
出版年度：2011
卷号：4
期号：02
页码：224-243
出版社：Massey University
摘要：bstract- The main objective of designed the controller for a vehicle suspension system is to reduce
the discomfort sensed by passengers which arises from road roughness and to increase the ride
handling associated with the pitching and rolling movements. This necessitates a very fast and
accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with
an artificial intelligence Neuro-Fuzzy (NF) technique to design a robust controller to meet the
control objectives. The advantage of this controller is that it can handle the nonlinearities faster
than other conventional controllers. The approach of the proposed controller is to minimize the
vibrations on each corner of vehicle by supplying control forces to suspension system when
travelling on rough road. The other purpose for using the NF controller for vehicle model is to
reduce the body inclinations that are made during intensive manoeuvres including braking and
cornering. A full vehicle nonlinear active suspension system is introduced and tested. The
robustness of the proposed controller is being assessed by comparing with an optimal Fractional
Order PI
λ
Dµ
(FOPID) controller. The results show that the intelligent NF controller has improved
the dynamic response measured by decreasing the cost function.
关键词：Index terms: Full vehicle; nonlinear active suspension system; intelligent system; neuro-fuzzy system; ;control design.
