Model Predictive Control for a 3-DOF Flapping-Wing Unmanned Aerial Vehicle with Control Constraints

Bing Zhu, Zongyu Zuo, Liang Sun, Yao Zou, Kewei Xia

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

1 Citation (Scopus)

Abstract

A model predictive controller (MPC) is proposed in this paper for a 3-DOF flapping-wing unmanned aerial vehicle (UAV) to track the reference set point. The proposed MPC is designed by using an averaged model of the 3-DOF flapping UAV, where the control constraints are considered. In the formulation of the MPC, nonlinear control inputs are transformed into linear ones, and constraints are re-designed for the linear control inputs, such that original constraints are satisfied. With the proposed MPC strategy, the set-point tracking error of the flapping-wing UAV can be proved ultimately bounded. A numerical example is provided to demonstrate the theoretical result.

Original languageEnglish
Title of host publicationICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-553
Number of pages6
ISBN (Electronic)9781538670668
DOIs
Publication statusPublished - 11 Jan 2019
Externally publishedYes
Event3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018 - Singapore, Singapore
Duration: 18 Jul 201820 Jul 2018

Publication series

NameICARM 2018 - 2018 3rd International Conference on Advanced Robotics and Mechatronics

Conference

Conference3rd IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2018
Country/TerritorySingapore
CitySingapore
Period18/07/1820/07/18

Keywords

  • Model predictive control
  • control constraints
  • flapping-wing
  • unmanned aerial vehicles

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