Fuzzy approximation-based reparametrization and adaptive control design of nonlinear aircraft dynamics

Shipeng Wang, Feifei Li, Yanjun Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper conducts a new study on fuzzy approximation-based reparametrization and adaptive control design of non-canonical nonlinear aircraft dynamics, with particular focus on emphasizing the expansion of linearization-based adaptive flight control designs from local to semi-global scopes. The linearization-based adaptive control method has been employed for managing non-canonical nonlinear aircraft systems, owing to its capability in handling the complexity of aircraft system dynamics. To enhance the operational range of the linearization-based approach, this paper focuses on the aircraft longitudinal dynamic model in general non-canonical forms. A semi-global linearization-based adaptive control method is developed for this kind of system. Firstly, a new reparametrization is devised, leveraging local linearized models and a concept of relative degree. Subsequently, adaptive controllers are designed to guarantee stable and asymptotic output tracking for aircraft systems with various relative degrees. The efficiency of the newly developed adaptive control approach is validated through simulation outcomes.

Original languageEnglish
Article number107334
JournalJournal of the Franklin Institute
Volume361
Issue number18
DOIs
Publication statusPublished - Dec 2024

Keywords

  • Adaptive control
  • Aircraft control
  • Non-canonical form
  • T–S fuzzy approximation

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