Title
Model Predictive Longitudinal Control For Autonomous Electric Vehicles With Tracking Differentiator
Abstract
In this paper, the longitudinal control is investigated for an autonomous electric vehicle with a tracking differentiator. The autonomous electric vehicle is modelled as a longitudinal system for model predictive control. The tracking differentiator is proposed to obtain the transition profile and acceleration information. A dual-mode model predictive controller is designed for the longitudinal system to find the optimal control input, which is restricted with some constraints on the desired acceleration and its increment. Both iterative feasibility and its stability issues are analysed for the longitudinal system under the dual-mode model predictive controller. Experimental results are given to show the effectiveness of the proposed strategy.
Year
DOI
Venue
2021
10.1080/00207721.2021.1892236
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
DocType
Volume
Autonomous electric vehicles (AEVs), longitudinal control, model predictive control (MPC), tracking differentiator (TD)
Journal
52
Issue
ISSN
Citations 
12
0020-7721
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Yijing Wang1349.28
Shizhuo Cao200.34
Hongjiu Yang300.34
Zhiqiang Zuo400.34
Li Wang500.34
Xiaoyuan Luo600.34