Reference
D. Corona and B. De Schutter, "Comparison of a linear and a hybrid adaptive
cruise controller for a SMART,"
Proceedings of the 46th IEEE
Conference on Decision and Control, New Orleans, Louisiana, pp.
4779-4784, Dec. 2007.
Abstract
An adaptive cruise controller (ACC) is a device used in modern automotive
applications that aims to achieve the tracking of a leading vehicle, allowing
safety, comfort driving and overall improvement of traffic streams. Through
appropriate modeling and design it permits also to address other tasks such as
energy saving, environmental protection and reduction of the mechanical stress.
For a type of small car, a SMART, we propose the design of an ACC using control
methods based on tuned proportional-integral (PI) action and on model
predictive control (MPC), developed for linear and piecewise affine (PWA)
systems. We implement these controllers and compare the main properties and
strong/weak points of each method, collecting the comparison keys in a table.
The trade-off between complexity and accuracy of the solutions is also
discussed.
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BibTeX
@inproceedings{CorDeS:07-022,
author = {Corona, Daniele and De Schutter, Bart},
title = {Comparison of a Linear and a Hybrid Adaptive Cruise Controller
for a {\textsc{Smart}}},
booktitle = {Proceedings of the 46th IEEE Conference on Decision and
Control},
address = {New Orleans, Louisiana},
pages = {4779--4784},
month = dec,
year = {2007}
}