The compound control method for pesticide spraying quadrotor UAVs

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

Abstract

To realize the high-precision control performance of the nonlinear system with model uncertainties and parameter perturbation, a compound control method is proposed for the pesticide spraying quadrotor unmanned aerial vehicle (UAV). To deal with the influence of pesticide consumption, wind disturbances and disturbance torques, the complementary sliding mode control is used to achieve the robust control of the pesticide spraying quadrotor UAV. Furthermore, an adaptive radial basis function neural network (RBFNN) is proposed to estimate the disturbances and reduce the chattering phenomenon of the complementary sliding mode control. With the Lyapunov theory, the weight matrices of the RBFNN can be updated online. A series of simulations experiments are carried out to validate the effectiveness of the proposed control method.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1022-1027
Number of pages6
ISBN (Electronic)9781538662434
DOIs
StatePublished - Mar 2019
Event3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019 - Chengdu, China
Duration: 15 Mar 201917 Mar 2019

Publication series

NameProceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019

Conference

Conference3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
Country/TerritoryChina
CityChengdu
Period15/03/1917/03/19

Keywords

  • Online training
  • The adaptive RBFNN
  • The complementary sliding mode control
  • The pesticide spraying quadrotor UAV

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