4.5 Article

Robust passive adaptive fault tolerant control for stochastic wing flutter via delay control

Journal

EUROPEAN JOURNAL OF CONTROL
Volume 48, Issue -, Pages 74-82

Publisher

ELSEVIER
DOI: 10.1016/j.ejcon.2019.04.008

Keywords

Robust passive control; Adaptive fault tolerant observer; Adaptive fault tolerant control; Stochastic system; wing flutter model

Funding

  1. National Science Foundation of China [61803275, 61673100]
  2. Fundamental Research Funds for the Central Universities [N170504020]
  3. Liaoning Province Doctor Starting Foundation [20170520283]
  4. Natural Science Foundation of Liaoning Province [20170540769, 20180550060]
  5. Liaoning BaiQianWan Talents Program [2017076]
  6. Research Topic of Chinese Society of Academic Degrees and Graduate Education [B-2017Y0802-139]

Ask authors/readers for more resources

The problem of robust passive adaptive fault tolerant control for the stochastic wing flutter model is studied in this paper. The stochastic wing flutter model considered possesses the control delay, disturbances, external stochastic bounded disturbance, loss of effectiveness (LOE) and lock-in-place (LIP). The proposed model is a more general LOE-LIP flutter model and covers several common actuator fault tolerant situations. A fault tolerant flutter adaptive observer is given to provide the information of wing flutter states. By combining stability theory of stochastic differential equation, Lyapunov method, adaptive control principles, and linear matrix inequalities (LMIs) technique, the robust passive adaptive fault tolerant controller based on the observer is constructed to solve the wing flutter problem. The passivation of the closed-loop system is theoretically proved. The passive control design for the wing flutter model has its practical significance. The controller can improve the robustness of the closed-loop system, and it accords with the real situation of aeroelastic system. Finally, the applicability and correctness of the proposed controller is well carried out by simulation examples. (C) 2019 European Control Association. Published by Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available