TY - GEN
T1 - Development of optimal control system for safe distance of platooning using model predictive control
AU - Zhao, Xin
AU - Wu, Dongmei
AU - Yeh, Yichun
AU - Ogai, Harutoshi
PY - 2010
Y1 - 2010
N2 - Platooning technology is becoming a future task which suggests as a way of reducing carbon dioxide emissions and realizing safe driving at a high velocity. This paper presents a unique optimal control method of velocity and distance for platooning using model predictive control. The vehicle-platoon's distance model which is based on the road condition and weather condition is used in this rigorous approach of deriving the control input. A combination of Continuation and Generalized Minimum Residual Methods is used to optimize the sequence of vehicle control commands which is required in the prediction horizon aiming at minimizing the relative velocity and keeping safe distance of the vehicle-platoon while the vehicle-platoon is on a high velocity driving.
AB - Platooning technology is becoming a future task which suggests as a way of reducing carbon dioxide emissions and realizing safe driving at a high velocity. This paper presents a unique optimal control method of velocity and distance for platooning using model predictive control. The vehicle-platoon's distance model which is based on the road condition and weather condition is used in this rigorous approach of deriving the control input. A combination of Continuation and Generalized Minimum Residual Methods is used to optimize the sequence of vehicle control commands which is required in the prediction horizon aiming at minimizing the relative velocity and keeping safe distance of the vehicle-platoon while the vehicle-platoon is on a high velocity driving.
KW - Platooning
KW - model predictive control
KW - safe distance
UR - http://www.scopus.com/inward/record.url?scp=78650729937&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650729937&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17298-4_6
DO - 10.1007/978-3-642-17298-4_6
M3 - Conference contribution
AN - SCOPUS:78650729937
SN - 3642172970
SN - 9783642172977
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 65
EP - 74
BT - Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings
T2 - 8th International Conference on Simulated Evolution and Learning, SEAL 2010
Y2 - 1 December 2010 through 4 December 2010
ER -