A minimax tracking design for wheeled vehicles with trailer based on adaptive fuzzy elimination scheme

Citation
Bs. Chen et al., A minimax tracking design for wheeled vehicles with trailer based on adaptive fuzzy elimination scheme, IEEE CON SY, 8(3), 2000, pp. 418-434
Citations number
22
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
ISSN journal
10636536 → ACNP
Volume
8
Issue
3
Year of publication
2000
Pages
418 - 434
Database
ISI
SICI code
1063-6536(200005)8:3<418:AMTDFW>2.0.ZU;2-5
Abstract
A robust tracking control design for wheeled vehicle systems with trailer, based on adaptive fuzzy elimination technique, is proposed in this study. A minimax control equipped with adaptive fuzzy elimination scheme is used to achieve a robust tracking performance, despite the system uncertainties an d external disturbance. The design procedure is divided into three steps. F irst, a nominal wheeled vehicle control design is obtained via model refere nce tracking with desired eigenvalue assignment. Second, a fuzzy logic syst em is constructed, which is subsequently tuned to eliminate the nonlinear u ncertainties as much as possible, in order to enhance the tracking robustne ss. Finally, a minimax control scheme is specified to optimally attenuate t he worst case effect of the residue of fuzzy elimination on tracking error below a desired level to meet a robust tracking performance. An adaptive fu zzy-based H-infinity optimization theory has been employed to solve the min imax problem. A simulation experiment of the wheeled vehicle with trailer i s also presented in order to illustrate the tracking performance of the pro posed design method.