Dynamics Modeling and Robotic-Assist, Leader-Follower Control of Tractor Convoys

Abstract

This paper proposes a generalized dynamics model and a leader-follower control architecture for skid-steered tracked vehicles towing polar sleds. The model couples existing formulations in the literature for the powertrain components with the vehicle-terrain interaction to capture the salient features of terrain trafficability and predict the vehicles response. This coupling is essential for making realistic predictions of the vehicles traversing capabilities due to the power-load relationship at the engine output. The objective of the model is to capture adequate fidelity of the powertrain and off-road vehicle dynamics while minimizing the computational cost for model based design of leader-follower control algorithms. The leader-follower control architecture presented proposes maintaining a flexible formation by using a look-ahead technique along with a way point following strategy. Results simulate one leader-follower tractor pair where the leader is forced to take an abrupt turn and experiences large oscillations of its drawbar arm indicating potential payload instability. However, the follower tractor maintains the flexible formation but keeps its payload stable. This highlights the robustness of the proposed approach where the follower vehicle can reject errors in human leader driving.

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Document Details

Document Type
Technical Report
Publication Date
Feb 02, 2022
Accession Number
AD1158879

Entities

People

  • James H. Lever
  • Joshua T. Cook
  • Laura Ray

Organizations

  • Dartmouth College
  • Engineer Research and Development Center

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Angular Momentum
  • Autonomous Systems
  • Cold Regions
  • Computational Science
  • Control Systems
  • Dynamics
  • Engineering
  • Engineers
  • Ground Vehicles
  • Hydraulic Fluids
  • Moment Of Inertia
  • Motion Planning
  • Simulations
  • Terramechanics
  • Tracked Vehicles
  • Transfer Functions
  • Unmanned Vehicles
  • Vehicles

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control