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A Reconfiguration-Based Fault-Tolerant Control Method for Nonlinear Uncertain Systems

Tu Yuanyuan, Dayi Wang, Steven X. Ding, Fangzhou Fu, Wenbo Li

2021IEEE Transactions on Automatic Control21 citationsDOI

Abstract

This article addresses reconfiguration-based fault-tolerant control (FTC) with robust guaranteed performance for nonlinear uncertain systems under actuator faults. A PAssive/ACTive combined FTC method is proposed based on reliable control, which synthesizes the advantages of the active and passive FTC and strikes a balance between the performance and complexity of the method. Moreover, the reliability overcost of this method is reduced to balance the system nominal performance and reconfigurability. In this procedure, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\theta$</tex-math></inline-formula> -D method is used to solve the Hamilton–Jacobi–Bellman (HJB) and generalized HJB equations. Effectiveness of the proposed method is verified by a numerical example.

Topics & Concepts

Control reconfigurationHamilton–Jacobi–Bellman equationFault toleranceControl theory (sociology)Nonlinear systemReconfigurabilityController (irrigation)Reliability (semiconductor)ActuatorComputer scienceMathematical optimizationMathematicsControl (management)Optimal controlArtificial intelligenceDistributed computingEmbedded systemTelecommunicationsAgronomyBiologyQuantum mechanicsPower (physics)PhysicsAdaptive Dynamic Programming ControlAdaptive Control of Nonlinear SystemsNeural Networks Stability and Synchronization
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