Leader-Following Formation Control in a Rotating Frame for Agents with Double-Integrator Dynamics: Generalized Stability Results and Experiments

Zachary S. Lippay, Jesse B. Hoagg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We present a formation control algorithm for double-integrator agents, where the desired interagent positions vary in time according to a rotating coordinate frame, which is represented by the rotation matrix R(t) SO(m). This algorithm applies to formations where: i) each agent has relative-position-and-velocity feedback of its neighbor agents, and the neighbor sets are such that the interagent communication (i.e., feedback) structure represents a strongly connected directed graph; ii) at least one agent has a measurement of its position and velocity relative to the leader; and iii) all agents have a measurement of R. The main analytic result shows that each agent converges to the desired relative positions with the other agents and the potentially moving leader. Notably, this analytic result does not require either undirected communication or every agent to have access to a measurement of its position and velocity relative to the leader. We also present results from rotorcraft experiments that demonstrate leader-following formation control in a rotating frame.

Original languageEnglish
Title of host publication2019 IEEE 58th Conference on Decision and Control, CDC 2019
Pages8236-8241
Number of pages6
ISBN (Electronic)9781728113982
DOIs
StatePublished - Dec 2019
Event58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France
Duration: Dec 11 2019Dec 13 2019

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2019-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference58th IEEE Conference on Decision and Control, CDC 2019
Country/TerritoryFrance
CityNice
Period12/11/1912/13/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

This work is supported in part by the U. S. Department of Agriculture (2018-67021-27416) and the National Aeronautics and Space Administration (NNX15AR69H) through the NASA Kentucky Space Grant.

FundersFunder number
NASA Kentucky Space
U. S. Department of Agriculture2018-67021-27416
National Aeronautics and Space AdministrationNNX15AR69H

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Modeling and Simulation
    • Control and Optimization

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