Back to Search
Start Over
An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization
- Source :
- Journal of Advanced Transportation, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Most existing longitudinal control strategies for connected and automated vehicles (CAVs) have unclear adaptability without scientific analysis regarding the key parameters of the control algorithm. This paper presents an optimal longitudinal control strategy for a homogeneous CAV platoon. First of all, the CAV platoon models with constant time-headway gap strategy and constant spacing gap strategy were, respectively, established based on the third-order linear vehicle dynamics model. Then, a linear-quadratic optimal controller was designed considering the perspectives of driving safety, efficiency, and ride comfort with three performance indicators including vehicle gap error, relative speed, and desired acceleration. An improved particle swarm optimization algorithm was used to optimize the weighting coefficients for the controller state and control variables. Based on the Matlab/Simulink experimental simulation, the analysis results show that the proposed strategy can significantly reduce the gap error and relative speed and improve the flexibility and initiative of the platoon control strategy compared with the unoptimized strategies. Sensitivity analysis was provided for communication lag and actuator lag in order to prove the applicability and effectiveness of this proposed strategy, which will achieve better distribution of system performance.
- Subjects :
- Transportation engineering
TA1001-1280
Transportation and communications
HE1-9990
Subjects
Details
- Language :
- English
- ISSN :
- 01976729 and 20423195
- Volume :
- 2020
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Advanced Transportation
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f58165ec9f73487eb30cbae49c177491
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2020/8822117