Development of a Ground Test Concept Based on Multi-Rotors for In-Flight RVD Experimentation

Abstract

The objective of this research is a feasibility study of an L1-based GNC for rendez-vous and docking maneuvers of two systems, including theoretical background and a comprehensive analysis of simulation results. The performance of the proposed GNC design will be evaluated in a simulation environment reproducing the dynamics of a multi-rotor micro-aerial vehicle. The nonlinear and linear models of an hexarotor Unmanned Aerial Vehicle (UAV) are identified using a VICON system. Some simulations are performed to validate the implementation of the nonlinear model in the Matlab-Simulink environment. Two controllers have been implemented: (i) a classical linear quadratic regulator (LQR) and (ii) an L1 adaptive controller. Both controller performance are validated by simulations. Different cases are analyzed, including simulations of experimental flights. The L1 adaptive controller is validated not only for the linear model but also for the nonlinear model and for "realistic" cases in which a time delay and an actuator model are included. Both controllers guarantee good performance. A retuning of the L1 controller is not required even in presence of time delay and for the nonlinear model.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2015
Accession Number
ADA621336

Entities

People

  • Elisa Capello
  • Giorgio Guglieri

Organizations

  • Polytechnic University of Turin

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Actuators
  • Air Force Research Laboratories
  • Aircrafts
  • Control Systems
  • Dynamics
  • Environment
  • Linear Systems
  • Maneuvers
  • Network Protocols
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Regulators
  • Simulations
  • Spacecraft
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Robotics and Automation.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control