Unmanned Autonomous Helicopter Integral Sliding Mode Control and Its Stability Analysis

Haojia Zhang, Aijun Li, Yu Wang

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

Abstract

Aiming at the coupling problem of the unmanned autonomous helicopter (UAH) which is a fairly complex aerodynamic system with special flight characteristics, this paper analyses the changing of eigenvalues considering the influence of rotor flapping in different flight modes. Through this, the natural characteristics of helicopter are reflected in valid, and it is also conducive to further design of flight control systems. Based on the analysis, designing an integral sliding mode controller and then comparing with the conventional sliding mode controller, the simulation results show that the former can not only achieve better tracking performance but also eliminate the static error. To the author’s best knowledge, there is few application of integral sliding mode control which is suitable for different state points in the field of helicopter flight control and the controller parameters are easy to adjust. This method has perfect applicability to underactuated helicopter system and engineering application.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Modelling, Identification and Control, ICMIC 2019
EditorsRui Wang, Zengqiang Chen, Weicun Zhang, Quanmin Zhu
PublisherSpringer
Pages305-313
Number of pages9
ISBN (Print)9789811504730
DOIs
StatePublished - 2020
Event11th International Conference on Modelling, Identification and Control, ICMIC 2019 - Tianjin, China
Duration: 13 Jul 201915 Jul 2019

Publication series

NameLecture Notes in Electrical Engineering
Volume582
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Modelling, Identification and Control, ICMIC 2019
Country/TerritoryChina
City Tianjin
Period13/07/1915/07/19

Keywords

  • Helicopter dynamics
  • Integral sliding mode control
  • Stability analysis

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