Development of optimal control system for safe distance of platooning using model predictive control

Xin Zhao, Dongmei Wu, Yichun Yeh, Harutoshi Ogai

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルSimulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings
ページ65-74
ページ数10
DOI
出版物ステータスPublished - 2010 12 1
イベント8th International Conference on Simulated Evolution and Learning, SEAL 2010 - Kanpur, India
継続期間: 2010 12 12010 12 4

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
6457 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference8th International Conference on Simulated Evolution and Learning, SEAL 2010
India
Kanpur
期間10/12/110/12/4

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント Development of optimal control system for safe distance of platooning using model predictive control' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Zhao, X., Wu, D., Yeh, Y., & Ogai, H. (2010). Development of optimal control system for safe distance of platooning using model predictive control. : Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings (pp. 65-74). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6457 LNCS). https://doi.org/10.1007/978-3-642-17298-4_6