Literature DB >> 34073126

Observer-Based Time-Variant Spacing Policy for a Platoon of Non-Holonomic Mobile Robots.

Martín Velasco-Villa1, Raúl Dalí Cruz-Morales2, Alejandro Rodriguez-Angeles1, Carlos A Domínguez-Ortega1.   

Abstract

This paper presents a navigation strategy for a platoon of n non-holonomic mobile robots with a time-varying spacing policy between each pair of successive robots at the platoon, such that a safe trailing distance is maintained at any speed, avoiding the robots getting too close to each other. It is intended that all the vehicles in the formation follow the trajectory described by the leader robot, which is generated by bounded input velocities. To establish a chain formation among the vehicles, it is required that, for each pair of successive vehicles, the (i+1)-th one follows the trajectory executed by the former i-th one, with a delay of τ(t) units of time. An observer is proposed to estimate the trajectory, velocities, and positions of the i-th vehicle, delayed τ(t) units of time, consequently generating the desired path for the (i+1)-th vehicle, avoiding numerical approximations of the velocities, rendering robustness against noise and corrupted or missing data as well as to external disturbances. Besides the time-varying gap, a constant-time gap is used to get a secure trailing distance between each two successive robots. The presented platoon formation strategy is analyzed and proven by using Lyapunov theory, concluding asymptotic convergence for the posture tracking between the (i+1)-th robot and the virtual reference provided by the observer that corresponds to the i-th robot. The strategy is evaluated by numerical simulations and real-time experiments.

Entities:  

Keywords:  input-delay observer; non-holonomic mobile robots; platoon formation; time-varying spacing policy

Year:  2021        PMID: 34073126     DOI: 10.3390/s21113824

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning.

Authors:  Mohammad Samadi Gharajeh; Hossein B Jond
Journal:  Sensors (Basel)       Date:  2021-05-14       Impact factor: 3.576

2.  Integrated Longitudinal and Lateral Networked Control System Design for Vehicle Platooning.

Authors:  Chedia Latrech; Ahmed Chaibet; Moussa Boukhnifer; Sébastien Glaser
Journal:  Sensors (Basel)       Date:  2018-09-13       Impact factor: 3.576

3.  A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles.

Authors:  Chao Lu; Jianwei Gong; Chen Lv; Xin Chen; Dongpu Cao; Yimin Chen
Journal:  Sensors (Basel)       Date:  2019-08-23       Impact factor: 3.576

  3 in total

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