Premium
Fuel efficiency‐oriented platooning control of connected nonlinear vehicles: A distributed economic MPC approach
Author(s) -
He Defeng,
Qiu Tianxiang,
Luo Renshi
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2049
Subject(s) - platoon , fuel efficiency , nonlinear system , control theory (sociology) , model predictive control , string (physics) , stability (learning theory) , engineering , control (management) , control engineering , computer science , automotive engineering , mathematics , mathematical physics , physics , quantum mechanics , artificial intelligence , machine learning
This paper considers the fuel efficiency‐oriented platooning control problem of connected vehicles. We present a novel distributed economic model predictive control (EMPC) approach to solve the problem of the vehicle platoon subject to nonlinear dynamics and safety constraints. In order to improve fuel economy of the whole vehicle platoon, the fuel consumption criterion is used to design the distributed EMPC strategy for the platoon. Meanwhile, the car‐tracking performance is exploited to guarantee stability and string stability of the platoon. Then the fuel efficiency control problem of the platoon is formulated as a distributed dual‐layer economic optimal control problem, which is solved in a fashion of receding horizon. It is proved that the proposed strategy guarantees asymptotic stability and predecessor‐follower string stability as well as fuel economy of the whole platoon by minimizing the fuel consumption cost. Finally, the effectiveness of the proposed strategy is highlighted by comparing its performance with that of the traditional distributed MPC strategy in numerical simulations.