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Trajectory Consensus for Coordination of Multiple Curvature-Bounded Vehicles

Authors :
Weiran Yao
Yu Sun
Yan Peng
Yang Chen
Liming Xin
Naiming Qi
Source :
IEEE Transactions on Cybernetics. 52:6307-6319
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

This article addresses the trajectory consensus problem of coordinating the trajectories of vehicles at multiple future time points. The objective is the consensus of the geometry of the vehicles' planned trajectories. The geometric feature of trajectories is parameterized by a set of trajectory states defined as required lengths along the trajectory to reduce the distance to its ending point to specific values. To solve this special consensus problem involving coupled state variables, the conventional consensus model is extended by attaching it to a mapping from the state variables to the trajectory's geometry. This mapping is established using a homotopic structure that creates a compact and efficient form for the mapping. The geometry of the homotopic structure is based on the shapes of its envelopes, and the elements in the structure are derived from their deformation. Through a homotopic search in the structure, an asymptotic consensus of trajectory states is achieved. Simulation results show the proposed coupled state consensus method can achieve better performance on the consensus of multiple vehicles than the conventional isolated state consensus method.

Details

ISSN :
21682275 and 21682267
Volume :
52
Database :
OpenAIRE
Journal :
IEEE Transactions on Cybernetics
Accession number :
edsair.doi.dedup.....1223e2e50683f1fc38cb58e93e61ff95