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Adaptive Finite-Time Control of Uncertain Mixed-Order Fully Actuated Nonlinear Systems with Parameter Estimations

  • Harbin Institute of Technology
  • Southern University of Science and Technology

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

Abstract

The finite-time control (FTC) problem, in this paper, is investigated for uncertain mixed-order fully actuated nonlinear (UMOFAN) systems with parameter estimations. A new finite-time controller is proposed that can make the origin of the closed-loop system finite-time stable and make parameter estimations close to their real values at the same time. In the control design process, the requirement for the state derivative information is eliminated via filters. Furthermore, the parameter in the adaptive law is updated by utilizing past and concurrent data on the basis of concurrent learning, thereby alleviating the persistent exciting (PE) condition. The effectiveness and the practicability of proposed control method are illustrated on the basis of the application of the permanent magnet synchronous motor (PMSM).

Original languageEnglish
Title of host publicationProceedings - 2023 China Automation Congress, CAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7658-7662
Number of pages5
ISBN (Electronic)9798350303759
DOIs
StatePublished - 2023
Event2023 China Automation Congress, CAC 2023 - Chongqing, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference2023 China Automation Congress, CAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/2319/11/23

Keywords

  • adaptive control
  • concurrent learning
  • finite-time control (FTC)
  • fully-actuated approaches
  • uncertain mixed-order fully-actuated nonlinear (UMOFAN) systems

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