Fuzzy Control for Platooning Systems Based on V2V Communication

In this paper, we developed an innovative approach using adaptive PID (Proportion, integral and derivation) controller using fuzzy logic theory to keep variable time-gap between dynamic cars, particularly for platooning system. Our study shows that robustness in maintaining gap between the dynamic cars, despite the specific vehicle model. In order to demonstrate robustness, in our study for the platooning system.it requires a set of information needed to be exchange using V2V communication protocol. However, the set of information required vehicle state dynamic information from the vehicle in front of itself. The simulation results presented in this paper show a significant improvement in keeping time-gap variable between the cars to have a safe and efficient flow of the platoonina system.

[1]  M. Pallikonda Rajasekaran,et al.  Automatic vehicle to vehicle communication and vehicle to infrastructure communication using NRF24L01 module , 2016, 2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT).

[2]  Jianqiang Wang,et al.  Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies , 2016, IEEE Transactions on Intelligent Transportation Systems.

[3]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .

[4]  José Eugenio Naranjo,et al.  Adaptive fuzzy control for inter-vehicle gap keeping , 2003, IEEE Trans. Intell. Transp. Syst..

[5]  J. Hedrick,et al.  String stability of interconnected systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[6]  R. R. Bambulkar,et al.  Movement Control of Robot using Fuzzy PID Algorithm , 2016 .

[7]  Le Yi Wang,et al.  Platoon Control of Connected Vehicles from a Networked Control Perspective: Literature Review, Component Modeling, and Controller Synthesis , 2018 .

[8]  Mangesh Kale,et al.  Vehicle to vehicle communication for crash avoidance system , 2016, 2016 International Conference on Computing Communication Control and automation (ICCUBEA).

[9]  Le Yi Wang,et al.  Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control , 2016, IEEE Transactions on Control Systems Technology.

[10]  Feng Gao,et al.  Practical String Stability of Platoon of Adaptive Cruise Control Vehicles , 2011, IEEE Transactions on Intelligent Transportation Systems.

[11]  Petros A. Ioannou,et al.  Autonomous intelligent cruise control , 1993 .