JOURNAL ARTICLE

Control Allocation Reconfiguration for Actuator Failure on a Coaxial-Pusher Helicopter.

  • Published In: Journal of the American Helicopter Society, 2023, v. 68, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: McKay, Michael E.; Vayalali, Praneet; Gandhi, Farhan; Berger, Tom; Lopez, Mark J. S. 3 of 3

Abstract

An elastic blade flight dynamics model for a coaxial helicopter platform based on the Sikorsky X2 TechnologyTM Demonstrator is presented and validated with steady trim and frequency response flight-test data. A full authority explicit model following control architecture along with pseudoinverse control allocation is implemented for the model in hover and cruise at 180 kt using CONDUIT® in order to stabilize the vehicle and meet a set of stability, handling qualities, and performance requirements. Different fault scenarios are considered including failure of rotor swashplate actuators and tail surface actuators in hover and forward flight, which are compensated for by recalculating the pseudoinverse control mixing accordingly. The approach is shown to maintain aircraft stability through the fault transient and into a new steady trim state for the vehicle. Though the implemented controller is successful in maintaining the aircraft state, different fault cases lead to violations in rotor tip clearance limits, which will require additional effort to account for in flight. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of the American Helicopter Society. 2023/07, Vol. 68, Issue 3, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0002-8711
  • DOI:10.4050/JAHS.68.032004
  • Accession Number:169716008
  • Copyright Statement:Copyright of Journal of the American Helicopter Society is the property of American Helicopter Society dba Vertical Flight Society 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.