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Adaptive trajectory tracking control of unmanned autonomous helicopters with parameter uncertainties and disturbances for geophysical survey

  • Mengchao Sun
  • , Wei Wang
  • , Jiangshuai Huang
  • Beihang University
  • Chongqing University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, trajectory tracking control for autonomous helicopters, which are designed for aeromagnetic survey, is investigated. Since magnetometers towed to the helicopters receive better signals, we consider an unmanned autonomous helicopter with towed unknown slung load, which result in time-varying external disturbances exerting on both thrusts and control torques. Besides, inertial parameters in the helicopter model and external disturbances are also allowed to be unknown. An adaptive filtered backstepping control algorithm is presented. The effects of parameter uncertainties and external disturbances are compensated by introducing additional estimates of their bounds in control laws and robust terms in parameter update laws. It is shown that the proposed control scheme can achieve the ultimate bounded tracking effectively.

Original languageEnglish
Title of host publicationProceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages774-780
Number of pages7
ISBN (Electronic)9781538694909
DOIs
StatePublished - Jun 2019
Event14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 - Xi'an, China
Duration: 19 Jun 2019 → 21 Jun 2019

Publication series

NameProceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Conference

Conference14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Country/TerritoryChina
CityXi'an
Period19/06/19 → 21/06/19

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