A model predictive control approach to design a parameterized adaptive cruise control
conference paper
The combination of different desirable characteristics and situation-dependent behavior cause the design of adaptive cruise control (ACC) systems to be time consuming and tedious. This chapter presents a systematic approach for the design and tuning of an ACC, based on model predictive control (MPC). A unique feature of the synthesized ACC is its parameterization in terms of the key characteristics safety, comfort and fuel economy. This makes it easy and intuitive to tune, even for nonexperts in (MPC) control, such as the driver. The effectiveness of the design approach is demonstrated using simulations for some relevant traffic scenarios. © 2010 Springer-Verlag London.
Topics
TNO Identifier
347450
ISSN
01708643
Source title
Lecture Notes in Control and Information Sciences
Collation
11 p.
Pages
273-284
Files
To receive the publication files, please send an e-mail request to TNO Repository.