JOURNAL ARTICLE

Fault‐tolerant attitude tracking control of tandem rotor helicopter considering internal actuator saturation and external wind gust.

  • Published In: International Journal of Adaptive Control & Signal Processing, 2023, v. 37, n. 7. P. 1671 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Li, Wei; Yang, Pengcheng; Geng, Keke; Zhu, Xiaoyuan 3 of 3

Abstract

Summary: Tandem rotor helicopter is configured with two main rotors distributed along the longitudinal direction and without anti‐torque tail rotor. Therefore, the control strategy of tandem rotor helicopter can be quite different from that of traditional helicopter systems. In this article, a fault‐tolerant attitude tracking controller is presented for tandem rotor helicopter, with considerations of external wind disturbance and internal actuator problem. First, attitude control oriented dynamic model of the tandem rotor helicopter is constructed, in which both actuator fault and saturation are involved. Base on statistical characteristics of practical wind condition as well as aerodynamic properties of the helicopter rotors, a detailed wind load model is further established. Then, a fault‐tolerant attitude tracking controller is proposed for the tandem rotor helicopter system by incorporating nonsingular terminal sliding mode control with an adaptive super twisting algorithm, which allows a simultaneous regulation of the three angular motions via two propeller rotors. Finally, based on Quanser's 3‐dof helicopter system, comparative simulation tests are performed to demonstrate the effectiveness as well as advantages of the proposed fault‐tolerant controller design. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Adaptive Control & Signal Processing. 2023/07, Vol. 37, Issue 7, p1671
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2023
  • ISSN:0890-6327
  • DOI:10.1002/acs.3595
  • Accession Number:164656072
  • Copyright Statement:Copyright of International Journal of Adaptive Control & Signal Processing is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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