TY - GEN
T1 - Adaptive Finite-Time Control of Uncertain Mixed-Order Fully Actuated Nonlinear Systems with Parameter Estimations
AU - Gao, Yajun
AU - Duan, Guang Ren
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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).
AB - 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).
KW - adaptive control
KW - concurrent learning
KW - finite-time control (FTC)
KW - fully-actuated approaches
KW - uncertain mixed-order fully-actuated nonlinear (UMOFAN) systems
UR - https://www.scopus.com/pages/publications/85189287951
U2 - 10.1109/CAC59555.2023.10451587
DO - 10.1109/CAC59555.2023.10451587
M3 - 会议稿件
AN - SCOPUS:85189287951
T3 - Proceedings - 2023 China Automation Congress, CAC 2023
SP - 7658
EP - 7662
BT - Proceedings - 2023 China Automation Congress, CAC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 China Automation Congress, CAC 2023
Y2 - 17 November 2023 through 19 November 2023
ER -