Adaptive robust wing trajectory control and force generation of flapping wing MAV

Jian Zhang, Bo Cheng, Bin Yao, Xinyan Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

The prominent maneuverability of flapping flight is enabled by rapid and significant changes in aerodynamic forces, which is a result of surprisingly subtle and precise changes of wing kinematics. The high sensitivity of aerodynamic forces to wing kinematic changes demands precise and instantaneous control of the flapping wing trajectories, especially in the presence of various types of uncertainties. In this work, we first present a dynamic model of a pair of direct-motor-driven flapping wings while taking into consideration the parameter uncertainties and external disturbances. We then present an Adaptive Robust Controller (ARC) to achieve robust performance of high-frequency (over 30Hz) instantaneous wing trajectory tracking with onboard feedback. The proposed control algorithm was experimentally validated on a 7.5 gram flapping-wing MAV which showed excellent tracking of various wing trajectories with different amplitude, bias, frequency, and split-cycles. Experimental results on various model wings demonstrated that the ARC can adapt to unknown parameters and show no performance degradation across wings of different geometries. The results of ARC were also compared with those of open-loop and classical PID controllers.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Robotics and Automation, ICRA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5852-5857
Number of pages6
EditionJune
ISBN (Electronic)9781479969234
DOIs
StatePublished - Jun 29 2015
Event2015 IEEE International Conference on Robotics and Automation, ICRA 2015 - Seattle, United States
Duration: May 26 2015May 30 2015

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
NumberJune
Volume2015-June
ISSN (Print)1050-4729

Other

Other2015 IEEE International Conference on Robotics and Automation, ICRA 2015
Country/TerritoryUnited States
CitySeattle
Period5/26/155/30/15

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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