Journal
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume 52, Issue 3, Pages 555-582Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2020.1834004
Keywords
Adaptive robust controller; collision avoidance; convoy-like formation; high-gain observer; limited communication range; multi-layer neural networks; prescribed performance; tractor-trailers
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This paper investigates a nonlinear platoon controller design for a group of autonomous tractor-trailers with limited communication ranges, aiming to increase load transportation capacity. By utilizing a prescribed performance strategy, the controller effectively achieves consecutive tractor-trailers to follow each other in a convoy-like formation within the group, ensuring connectivity and avoiding collisions.
This paper investigates the problem of a nonlinear platoon controller design for a group of autonomous tractor-trailers with limited communication ranges in order to increase the load transportation capacity. The main control objective is to force each consecutive pair of tractor-trailers to follow each other in a convoy-like formation based on their posture and velocity measurements in the presence of unmodelled dynamics and external disturbances. The prescribed performance strategy is effectively applied to the relative range and angle between each successive pair in the group to preserve their connectivity without any possible collision by defining some preassigned performance characteristics on the transient and steady-state responses. A high-gain observer, an adaptive robust controller and a three-layer neural network are heuristically utilised to develop an efficient robust output-feedback platoon controller as well. The stability of the entire state-feedback and output-feedback control system is investigated by the Lyapunov stability method and some numerical simulations are presented to validate the controller efficiency in an autonomous transportation application.
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