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  • 标题:Predictor-based Adaptive Incremental Nonlinear Dynamic Inversion for Fault-Tolerant Flight Control*
  • 本地全文:下载
  • 作者:Jing Chang ; Zongyi Guo ; Roeland De Breuker
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:6
  • 页码:730-736
  • DOI:10.1016/j.ifacol.2022.07.214
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe sensor-based Incremental Nonlinear Dynamic Inversion (INDI) control has shown promising robustness in the aerospace research field. This control framework only requires a partial knowledge of plant (control effectiveness) because of its usage of angular accelerations and actuator output measurements. However, there are still un-negligible uncertainties of the control effectiveness model in the flight control system, especially when the aircraft is subjected to structural damage/actuator faults. This paper shows that the conventional INDI control fails to satisfy the sufficient conditions for closed-loop stability in the presence of severe damage. Therefore, this paper also proposes a predictor-based gain adaptive INDI control (named PGA-INDI) which can successfully deal with control effectiveness parametric errors caused by structural damage, actuator faults, and model uncertainties. Various simulations using a public aircraft model have demonstrated the effectiveness of the proposed approach
  • 关键词:KeywordsFault-tolerant Flight ControlIncremental Nonlinear Dynamic InversionPredictorControl Effectiveness Uncertainty
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