Event-Triggered Attitude Controller Design for Unmanned Aerial Vehicles under Cyber Attacks

Seungyong Han, Xuyang Guo, Yongsik Jin, Yongseob Lim, Suneel Kumar Kommuri*

*Corresponding author for this work

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

Abstract

This paper proposes an event-triggered attitude controller design method for unmanned aerial vehicles (UAVs) under cyber attacks. Versatile UAVs are capable of transmitting the measurement or receiving control signals through network channels. In the controller design for such UAVs, it is required to consider two distinctive features. The first one is that the strategy of updating the control signal is important for saving the limited energy consumption. The other one is that the UAVs are vulnerably exposed to threats of malicious attacks through network channels. For enhanced energy efficiency and improved stability, the event-triggered mechanism (ETM) and the attitude controller are simultaneously designed. By utilizing Lyapunov- Krasovskii functionals (LKFs), the sufficient conditions for the co-design are derived in terms of linear matrix inequalities (LMIs). For a 3-degrees of freedom (DOF) quadcopter system, the simulation results are presented to validate the proposed attitude control method.

Original languageEnglish
Title of host publication2024 33rd International Symposium on Industrial Electronics, ISIE 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350394085
DOIs
Publication statusPublished - 2024
Event33rd International Symposium on Industrial Electronics, ISIE 2024 - Ulsan, Korea, Republic of
Duration: 18 Jun 202421 Jun 2024

Publication series

NameIEEE International Symposium on Industrial Electronics
ISSN (Print)2163-5137
ISSN (Electronic)2163-5145

Conference

Conference33rd International Symposium on Industrial Electronics, ISIE 2024
Country/TerritoryKorea, Republic of
CityUlsan
Period18/06/2421/06/24

Keywords

  • Event-triggered mechanism
  • Lyapunov-Krasovskii functionals
  • attitude controller
  • false-data injection attacks

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