Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Zhou, Chunguoa | Qiao, Ninga | Mao, Jina | Zeng, Zhichenga | Zhou, Yongjunb; *
Affiliations: [a] School of Mechanical and Precision Instrument Engineering, Xi’an University Of Technology, Xi’an University of Technology, Xi’an, Shaanxi, China | [b] Key Laboratory of Bridge Detection Reinforcement Technology Ministry of Communications and Research Center of Highway Large Structure Engineering on Safety, Ministry of Education, Chang’an University, Xi’an, Shaanxi, China
Correspondence: [*] Corresponding author. Yongjun Zhou, Key Laboratory of Bridge Detection Reinforcement Technology Ministry of Communications and Research Center of Highway Large Structure Engineering on Safety, Ministry of Education, Chang’an University, Xi’an, Shaanxi, China. E-mail: zyj@chd.edu.cn.
Abstract: In order to improve the comprehensive performance of adaptive cruise control system in the car-following process and take the safety into account, an improved model predictive control algorithm considering multi-performance objective optimization is designed. In the prediction model part, the grey Verhulst model with saturation state is introduced to predict the acceleration disturbance of the preceding vehicle, and the particle swarm optimization algorithm is used to estimate the parameters, which is then applied to the car following model. The control problem is transformed into a quadratic programming problem with multiple constraints through multi-objective quadratic performance index, and the vector constraint management method is introduced to solve the problem of no feasible solution caused by hard constraints. The emergency acceleration, deceleration and stable following are simulated. Finally, the Worldwide Harmonized Light Vehicles Test Cycle is co-simulated. The results show that the improved model predictive control algorithm can improve the tracking capability, fuel economy and comfort of adaptive cruise system.
Keywords: Adaptive cruise, multi-performance objective optimization, model predictive control, grey prediction
DOI: 10.3233/JIFS-221690
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 1, pp. 543-553, 2023
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl