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Parameter Estimation for a VTOL UAV Using Mutant Pigeon Inspired Optimization Algorithm with Dynamic OBL Strategy

  • Xiamen University
  • Nanjing University of Aeronautics and Astronautics

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

Abstract

Inertial physical parameter estimation for a VTOL Unmanned Aerial Vehicle (UAV) is helpful to the control and calibration. A mutant pigeon-inspired optimization algorithm (MPIO) is proposed in this paper, which is based on dynamic opposition-based Learning (OBL) strategy. The mutant operator with nonlinear characteristic is employed to enhance the global searching ability and accelerate the convergence speed of the globally optimal pigeon. Meanwhile, the dynamic opposition-based learning strategy is introduced to facilitate the central pigeon of the swarm to explore the potential better region. The proposed algorithm is applied to the UAV system with the data from model test. The experimental results indicate that the proposed algorithm shows better performance in converging speed and overall search ability.

Original languageEnglish
Title of host publication2019 IEEE 15th International Conference on Control and Automation, ICCA 2019
PublisherIEEE Computer Society
Pages669-674
Number of pages6
ISBN (Electronic)9781728111643
DOIs
StatePublished - Jul 2019
Event15th IEEE International Conference on Control and Automation, ICCA 2019 - Edinburgh, United Kingdom
Duration: 16 Jul 201919 Jul 2019

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2019-July
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference15th IEEE International Conference on Control and Automation, ICCA 2019
Country/TerritoryUnited Kingdom
CityEdinburgh
Period16/07/1919/07/19

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