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Real-time weighted multi-objective model predictive controller for adaptive cruise control systems
Zhao, R. C.1; Wong, P. K.1; Xie, Z. C.2; Zhao, J.1
2017-04
Source PublicationINTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
ISSN1229-9138
Volume18Issue:2Pages:279-292
Abstract

In this paper, a novel spacing control law is developed for vehicles with adaptive cruise control (ACC) systems to perform spacing control mode. Rather than establishing a steady-state following distance behind a newly encountered vehicle to avoid collision, the proposed spacing control law based on model predictive control (MPC) further considers fuel economy and ride comfort. Firstly, a hierarchical control architecture is utilized in which a lower controller compensates for nonlinear longitudinal vehicle dynamics and enables to track the desired acceleration. The upper controller based on the proposed spacing control law is designed to compute the desired acceleration to maintain the control objectives. Moreover, the control objectives are then formulated into the model predictive control problem using acceleration and jerk limits as constrains. Furthermore, due to the complex driving conditions during in the transitional state, the traditional model predictive control algorithm with constant weight matrix cannot meet the requirement of improvement in the fuel economy and ride comfort. Therefore, a real-time weight tuning strategy is proposed to solve time-varying multi-objective control problems, where the weight of each objective can be adjusted with respect to different operating conditions. In addition, simulation results demonstrate that the ACC system with the proposed real-time weighted MPC (RW-MPC) can provide better performance than that using constant weight MPC (CW-MPC) in terms of fuel economy and ride comfort.

KeywordAdaptive Cruise Control Model Predictive Control Real-time Weight Tuning Fuel Economy Ride Comfort
DOI10.1007/s12239-017-0028-2
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Mechanical ; Transportation Science & Technology
WOS IDWOS:000394427700010
PublisherKOREAN SOC AUTOMOTIVE ENGINEERS-KSAE
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:19   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.Department of Electromechanical Engineering, University of Macau, Macau, China
2.School of Mechanical and Automotive Engineering, South China University of Technology, Beijing, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhao, R. C.,Wong, P. K.,Xie, Z. C.,et al. Real-time weighted multi-objective model predictive controller for adaptive cruise control systems[J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY,2017,18(2):279-292.
APA Zhao, R. C.,Wong, P. K.,Xie, Z. C.,&Zhao, J..(2017).Real-time weighted multi-objective model predictive controller for adaptive cruise control systems.INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY,18(2),279-292.
MLA Zhao, R. C.,et al."Real-time weighted multi-objective model predictive controller for adaptive cruise control systems".INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY 18.2(2017):279-292.
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