Compliant Formation Control of an Autonomous Multiple Vehicle System

Abstract

This research identifies a new strategy called 'compliant formation control' which may be used to coordinate the navigational structure of a team of autonomous vehicles. This technique controls the team's motion based on a given, desired formation shape and a given, desired set of neighboring separation distances, wherein the formation shape is considered general two-dimensional. The strategy establishes how to select, place, and use virtual springs and dampers that conceptually "force" proper interspacing between neighboring team members. The objective is to continuously maintain, in the most optimal way, the desired formation as team motion proceeds. Research in multiple vehicle systems has addressed follow-the-leader techniques, cooperative mapping, reconnaissance and communication, and learning and adaptation techniques. Each of these areas is interested in multiple vehicle coordination techniques... This research provides a strategy for formation control that is based on a desired formation shape. In practice, actual robot separation distances will be measured relative to smarter, leader robots that have known position and orientation information at all times (e.g., GPS or INS). The control strategy subsequently commands, in an optimal way, each vehicle by providing a heading and velocity necessary to maintain the desired formation. Such requisite commands result from modeling the compliant displacements of team members as they travel in a network of virtual springs and dampers. One of the primary contributions of this work is the development of a methodology to determine the internal behaviors for the individual mobile robots in order to achieve a desired global formation for the entire system. One of the motivations here is to reduce the cost and increase the navigational effectiveness of a team of mobile robots, since only a select few team members (leaders) are required to be equipped with expensive GPS or INS equipment.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2006
Accession Number
ADA468947

Entities

People

  • Erica Z. Macarthur

Organizations

  • University of Florida

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Navigation
  • Cognitive Systems Engineering
  • Collision Avoidance
  • Computer Vision
  • Control Simulators
  • Control Systems
  • Coordinate Systems
  • Grids
  • Guidance
  • Image Processing
  • Robots
  • Unmanned Aerial Vehicles
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Vehicles
  • Visual Servoing

Fields of Study

  • Computer science

Readers

  • Organizational Process Management (OPM).
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers