Using improved particle swarm optimization to tune PID controllers in cooperative collision avoidance systems

The introduction of proportional-integral-derivative (PID) controllers into cooperative collision avoidance systems (CCASs) has been hindered by difficulties in their optimization and by a lack of study of their effects on vehicle driving stability, comfort, and fuel economy. In this paper, we propose a method to optimize PID controllers using an improved particle swarm optimization (PSO) algorithm, and to better manipulate cooperative collision avoidance with other vehicles. First, we use PRESCAN and MATLAB/Simulink to conduct a united simulation, which constructs a CCAS composed of a PID controller, maneuver strategy judging modules, and a path planning module. Then we apply the improved PSO algorithm to optimize the PID controller based on the dynamic vehicle data obtained. Finally, we perform a simulation test of performance before and after the optimization of the PID controller, in which vehicles equipped with a CCAS undertake deceleration driving and steering under the two states of low speed (≤50 km/h) and high speed (≥100 km/h) cruising. The results show that the PID controller optimized using the proposed method can achieve not only the basic functions of a CCAS, but also improvements in vehicle dynamic stability, riding comfort, and fuel economy.

[1]  Ying Wang,et al.  Application of improved PSO for parameter tuning of PID controller: Application of improved PSO for parameter tuning of PID controller , 2010 .

[2]  ジャズ，スコット,et al.  Collision avoidance system for a vehicle , 1990 .

[3]  J. Christian Gerdes,et al.  Cooperative Collision Avoidance via proximal message passing , 2015, 2015 American Control Conference (ACC).

[4]  Li Chen,et al.  Turning mechanism and composite control of stratospheric airships , 2012, Journal of Zhejiang University SCIENCE C.

[5]  Yuping He,et al.  Wireless Networked Control for Active Trailer Steering Systems of Articulated Vehicles , 2014 .

[6]  Byeong-Woo Kim,et al.  Cooperative intersection collision-warning system based on vehicle-to-vehicle communication , 2014 .

[7]  R. Eberhart,et al.  Fuzzy adaptive particle swarm optimization , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[8]  Jae-il Jung,et al.  Enhanced Selective Forwarding Scheme for Alert Message Propagation in VANETs , 2010, 2010 International Conference on Information Science and Applications.

[9]  Sang-Sun Lee,et al.  Network performance analysis and manuever model for overtaking assistant service using wave , 2014 .

[10]  Lien-Wu Chen,et al.  A lane-level cooperative collision avoidance system based on vehicular sensor networks , 2013, MobiCom.

[11]  Han-Shue Tan,et al.  DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints , 2006, IEEE Transactions on Intelligent Transportation Systems.

[12]  Chung-Ming Huang,et al.  Cooperative vehicle collision warning system using the vector-based approach with dedicated short range communication data transmission , 2014 .

[13]  Gongjun Yan,et al.  Cooperative Collision Warning through mobility and probability prediction , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[14]  Wang Bin.  A Modified PSO Algorithm and Its Application in Tuning of PID , 2008 .

[15]  Michael Anthony Bauer,et al.  A decision making module for cooperative collision warning systems using Vehicular Ad-Hoc Networks , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[16]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[17]  C. Kreuzen,et al.  Cooperative adaptive cruise control: Using information from multiple predecessors in combination with MPC , 2012 .

[18]  Yuping He,et al.  Model Reference Adaptive Control for Active Trailer Steering of Articulated Heavy Vehicles , 2015 .

[19]  Bin Liang,et al.  Nonlinear path-following method for fixed-wing unmanned aerial vehicles , 2013, Journal of Zhejiang University SCIENCE C.

[20]  Chris Phillips,et al.  Cooperative collision avoidance for multi-vehicle systems using reinforcement learning , 2013, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR).

[21]  Khelifa Baizid,et al.  Longitudinal and lateral slip control of autonomous wheeled mobile robot for trajectory tracking , 2015, Frontiers of Information Technology & Electronic Engineering.

[22]  Changbin Yu,et al.  Optimization of formation for multi-agent systems based on LQR , 2016, Frontiers of Information Technology & Electronic Engineering.

[23]  Evdokimos I. Konstantinidis,et al.  Development of a collaborative vehicle collision avoidance system , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[24]  Qing-Guo Wang,et al.  Auto-tuning of multivariable PID controllers from decentralized relay feedback , 1997, Autom..

[25]  Bo Wang,et al.  Active steering control strategy for articulated vehicles , 2016, Frontiers of Information Technology & Electronic Engineering.