Title :
Development and evaluation of Cooperative Adaptive Cruise Controllers
Author :
Peidong Wang ; Zhenping Sun ; Jun Tan ; Zhenhua Huang ; Qi Zhu ; Wei Zhao
Author_Institution :
Coll. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
In this paper, we present a Cooperative Adaptive Cruise Control (CACC) system consists of several autonomous ground vehicles (AGVs). Using vehicle to vehicle communication, the designed cooperative controller could minimize inter vehicle spacing, meanwhile, guarantee the platoon´s stability. We use mainly two algorithms to design our longitudinal controllers to the problem, a frequency domain approach and controller based on model predictive control. In order to validate the effectiveness of the proposed method, we conduct simulations on a simulated environment by coupling Matlab with Carsim. Simulation results show capabilities of all the designed controllers could make the vehicle follow a vehicle ahead of it at a desired safety distance.
Keywords :
adaptive control; automobiles; control system synthesis; frequency-domain analysis; mobile robots; motion control; predictive control; road safety; stability; AGV; CACC system; Carsim; Matlab; autonomous ground vehicles; cooperative adaptive cruise controllers; cooperative controller design; frequency domain approach; intervehicle spacing; longitudinal controllers; model predictive control; platoon stability; safety distance; vehicle to vehicle communication; Acceleration; Control systems; Safety; Stability criteria; Vehicles; Cooperative Adaptive Cruise Control (CACC); Model Predictive Control (MPC); String Stability; Vehicle-to-Vehicle (V2V); longitudinal vehicle control;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237725