IET International Conference on Intelligent and Connected Vehicles (ICV 2016) 2016
DOI: 10.1049/cp.2016.1176
|View full text |Cite
|
Sign up to set email alerts
|

Study of autonomous platoon vehicle longitudinal modeling

Abstract: In the past study of issues related to autonomous platoon vehicles with little consideration of vehicles internal information factors. Thus, longitudinal vehicle model was built, the vehicle interior information external information and physical factors are fused together and the impact of vehicle interior information on the control of autonomous platoon vehicle is analyzed. Fuzzy PI controller is designed and realized the longitudinal control of following vehicle. Use Matlab to build a vehicle cyber-physical … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
0
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 7 publications
(8 reference statements)
0
0
0
Order By: Relevance
“…Vehicle platoon control requirements are complex. When the platoon encounter special circumstances or the speed changes, how to maintain the stable spacing error is the key issue [21]. Wireless communication technology and other new technologies have brought many new ideas for formation realization, which can be roughly divided into the following four categories according to the choice of theoretical basis: behavior based method [22,23], artificial potential field method [24,25], model prediction control method [26,27] and leader-follower method.…”
Section: Related Work/literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Vehicle platoon control requirements are complex. When the platoon encounter special circumstances or the speed changes, how to maintain the stable spacing error is the key issue [21]. Wireless communication technology and other new technologies have brought many new ideas for formation realization, which can be roughly divided into the following four categories according to the choice of theoretical basis: behavior based method [22,23], artificial potential field method [24,25], model prediction control method [26,27] and leader-follower method.…”
Section: Related Work/literature Reviewmentioning
confidence: 99%
“…Liang et al [36] developed a position estimator that can provide online position estimates of followers relative to leaders, thus ensuring the stability of the entire formation system. Yang et al [21] designed a fuzzy PI controller for vehicle safety following control, which can effectively eliminate the influence of information delay in the platoon. Defoort et al [37] developed a coordinated control scheme based on the leader-following method, and proposed a sliding mode controller that can ensure the gradual adjustment of vehicles to the desired formation effect.…”
Section: Related Work/literature Reviewmentioning
confidence: 99%