Journal
IEEE ACCESS
Volume 7, Issue -, Pages 55305-55317Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2907011
Keywords
Automotive applications; cruise control; predictive control; quadratic programming; system identification
Ask authors/readers for more resources
Advanced Driver Assistance Systems (ADAS) is a group of technologies that support the driving with safety measures, such as the Adaptive Cruise Control (ACC). The ACC System computes a reference, known as cruise speed, that tracks the desired speed but it changes if a leading vehicle draws close. In this paper, the inner loop of ACC was designed using two different Model Predictive Control techniques: finite horizon and infinite horizon of prediction. The dynamic model of the vehicle was obtained using System Identification. The controllers were embedded in an ACC Module that communicates directly with a customized Electronic Control Unit (ECU) of the vehicle. The validation of the controllers is performed with practical experiments using a dynamometer.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available