Control of uncertain nonlinear systems against actuator faults using adaptive fuzzy approximation

This paper studies the problem of fault-tolerant control (FTC) for a class of uncertain nonlinear systems which cannot be feedback linearized. These systems are unknown in their nonlinearities and subject to both lock-in-place and loss of effectiveness actuator faults. A novel fault-tolerant control...

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Bibliographic Details
Published in2009 American Control Conference pp. 4446 - 4451
Main Authors Ping Li, Guang-Hong Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Actuators
Adaptive control
Control systems
Fault tolerant systems
Fuzzy control
Fuzzy systems
Linear feedback control systems
Nonlinear control systems
Nonlinear systems
Programmable control
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ISBN142444523X
9781424445233
ISSN0743-1619
DOI10.1109/ACC.2009.5160349

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Summary:This paper studies the problem of fault-tolerant control (FTC) for a class of uncertain nonlinear systems which cannot be feedback linearized. These systems are unknown in their nonlinearities and subject to both lock-in-place and loss of effectiveness actuator faults. A novel fault-tolerant control approach is proposed by embedding adaptive fuzzy approximators into the backstepping design procedure. The designed controller can guarantee that all signals of the closed-loop system are uniformly ultimately bounded and the output tracking error converges to a small neighborhood of zero though there are uncertainties and actuator faults in the considered system. Simulation experiment is conducted and the simulation results demonstrate the effectiveness of the proposed control approach.
ISBN:142444523X
9781424445233
ISSN:0743-1619
DOI:10.1109/ACC.2009.5160349