The combination of different desirable characteristics and situation-dependentbehavior cause the design of adaptive cruise control (ACC) systems to be timeconsuming and tedious. This chapter presents a systematic approach for the designand tuning of an ACC, based on model predictive control (MPC). A unique featureof the synthesized ACC is its parameterization in terms of the key characteristicssafety, comfort and fuel economy. This makes it easy and intuitive to tune, evenfor nonexperts in (MPC) control, such as the driver. The effectiveness of the designapproach is demonstrated using simulations for some relevant traffic scenarios.
|Title of host publication
|Automotive Model Predictive Control Models: Methods and Applications
|Place of Publication
|Berlin / Heidelberg
|Published - 2010
|Lecture notes in control and information sciences