An Adaptive Scheme to Estimate Unknown Parameters of an Unmanned Aerial Vehicle

Imil Hamda Imran, Allahyar Montazeri

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

9 Scopus citations

Abstract

This paper deals with tracking control problem for six degrees of freedom (6-DOF) nonlinear quadrotor unmanned aerial vehicle (UAV). A virtual control design using PD controller is proposed for tracking control position. The rotational dynamics of UAV is considered to have several unknown parameters such as propeller inertia, rotational drag coefficient and an external disturbance parameter. To handle this issue, an adaptive scheme using the certainty equivalence principle is developed. The basic idea behind this scheme is to cancel the nonlinear term by applying a similar nonlinear structure in the feedback control design. The unknown parameters are replaced by estimated parameters generated by adaptation law. The rigorous theoretical design and simulation results are presented to demonstrate the effectiveness of the controller.

Original languageEnglish
Title of host publication2020 International Conference Nonlinearity, Information and Robotics, NIR 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728187631
DOIs
StatePublished - 3 Dec 2020
Externally publishedYes
Event2020 International Conference Nonlinearity, Information and Robotics, NIR 2020 - Innopolis, Russian Federation
Duration: 3 Dec 20206 Dec 2020

Publication series

Name2020 International Conference Nonlinearity, Information and Robotics, NIR 2020

Conference

Conference2020 International Conference Nonlinearity, Information and Robotics, NIR 2020
Country/TerritoryRussian Federation
CityInnopolis
Period3/12/206/12/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • 6-DOF
  • Immersion invariance
  • adaptive control
  • certainty equivalence principle
  • unmanned aerial vehicle

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Numerical Analysis

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