Litcius/Paper detail

Stability Design for the Homogeneous Platoon with Communication Time Delay

Fangwu Ma, Jiawei Wang, Yu Yang, Liang Wu, Sheng Zhu, Şükrü Yaren Gelbal, Bilin Aksun‐Güvenç, Levent Güvenç

2020Automotive Innovation31 citationsDOIOpen Access PDF

Abstract

Abstract A hierarchical control framework is applied for the distributed cooperative vehicular platoon using vehicular ad-hoc networks. The parameter-space-approach-based cooperative adaptive cruise control (CACC) controller is proposed to guarantee the $${\mathcal{D}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>D</mml:mi></mml:math> -stability and the string stability considering the influence of the communication time delay and time lag of vehicular dynamic performance. This CACC controller combines the feedforward loop of the acceleration of the preceding vehicle with the feedback loop of the following errors, in which the gain of the feedforward loop is designed to decrease matching errors and the gains of the feedback loop are selected from the feasible region in the parameter space. To verify the effectiveness of the CACC controller, a six-vehicle platoon with a simplified vehicular dynamic is simulated under speed-up and stop scenarios. The simulation results demonstrate that the disturbance is attenuated along with the platoon and the following errors are convergent with well-designed convergent performance. A CarSim/Simulink co-simulation is designed to further verify the effectiveness of the hierarchical control framework and the rationality of the CACC controller in the real vehicular platoon application. The simulation results under the highway fuel economy test drive cycle show that the CACC controller improves the drive comfort and significantly decreases the following errors.

Topics & Concepts

PlatoonCooperative Adaptive Cruise ControlFeed forwardControl theory (sociology)Controller (irrigation)Computer scienceCarSimAccelerationStability (learning theory)Control engineeringEngineeringControl (management)BiologyClassical mechanicsAgronomyArtificial intelligencePhysicsMachine learningTraffic control and managementVehicular Ad Hoc Networks (VANETs)Traffic Prediction and Management Techniques