DocumentCode
2571814
Title
Predictive yaw and lateral control in long heavy vehicles combinations
Author
Bahaghighat, M. Keshavarz ; Kharrazi, S. ; Lidberg, M. ; Falcone, P. ; Schofield, B.
Author_Institution
Dept. of Signals & Syst., Chalmers Univ. of Technol., Göteborg, Sweden
fYear
2010
fDate
15-17 Dec. 2010
Firstpage
6403
Lastpage
6408
Abstract
We consider the problem of controlling the yaw and lateral dynamics in heavy vehicles, consisting of combinations of a truck and multiple towed units. In such heavy vehicle configurations, undesired yaw rate and lateral acceleration amplifications, causing tail swings and lateral instabilities of the towed units, can be observed at high speed. In this paper, we present a predictive control approach to reduce the Rearward Amplification (RWA) of the yaw rate at the rearmost unit in a truck-dolly-semitrailer combination, while bounding the lateral acceleration in order to prevent the roll-over of the rearmost unit. Simulation results with a nonlinear high fidelity vehicle model are presented in a single lane change maneuver, showing that the proposed approach is able to efficiently reduce the yaw rate RWA and limit the lateral accelerations, compared to the uncontrolled vehicle.
Keywords
acceleration control; amplification; nonlinear control systems; position control; predictive control; vehicle dynamics; heavy vehicle configurations; heavy vehicles combinations; lateral acceleration amplifications; lateral accelerations; lateral control; lateral dynamics; lateral instability; multiple towed units; nonlinear high fidelity vehicle model; predictive control approach; predictive yaw control; rearmost unit; rearward amplification; roll-over; single lane change maneuver; tail swings; truck-dolly-semitrailer combination; uncontrolled vehicle; yaw rate RWA; Acceleration; Axles; Equations; Kinetic energy; Mathematical model; Simulation; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location
Atlanta, GA
ISSN
0743-1546
Print_ISBN
978-1-4244-7745-6
Type
conf
DOI
10.1109/CDC.2010.5717377
Filename
5717377
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