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Improved adaptive fault‐tolerant control design for hypersonic vehicle based on interval type‐2 T‐S model
Author(s) -
Chen Fuyang,
Hu Longze,
Wen Changyun
Publication year - 2017
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3923
Subject(s) - control theory (sociology) , interval (graph theory) , fuzzy logic , observer (physics) , nonlinear system , fault (geology) , lyapunov stability , controller (irrigation) , elevator , computer science , fault tolerance , fuzzy control system , control engineering , engineering , mathematics , control (management) , artificial intelligence , physics , distributed computing , structural engineering , combinatorics , quantum mechanics , seismology , agronomy , biology , geology
Summary This study proposes an improved adaptive fault estimation and accommodation algorithm for a hypersonic flight vehicle that uses an interval type‐2 Takagi‐Sugeno fuzzy model and a quantum switching module. First, an interval type‐2 Takagi‐Sugeno fuzzy model for the hypersonic flight vehicle system with elevator faults is developed to process the nonlinearity and parameter uncertainties. An improved adaptive fault estimation algorithm is then constructed by adding an adjustable parameter. The quantum switching module is also applied to the estimation part to select an appropriate algorithm in different fault cases. The estimation results from the given fuzzy observer are used to design a type‐2 fuzzy fault accommodation controller to stabilize the fuzzy system. The stability of the proposed scheme is analyzed using the Lyapunov stability theory. Finally, the validity and availability of the method are verified by a series of comparisons on numerical simulation results.