2011
DOI: 10.5302/j.icros.2011.17.11.1067
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Fault-Tolerant Networked Control Systems Using Control Allocation for Failures in Multiple Control Surfaces

Abstract: In this paper, the methodology of a CA (Control Allocation) based FTNCS (Fault-Tolerant Networked Control System) is proposed. Control allocation is a control surface management technique by redistributing the redundant control surfaces in overactuated systems. In modern high performance aircrafts, they adopt many redundant control surfaces to provide high performance and to satisfy various tactical requirements. Moreover, redundant control surfaces provide an opportunity to compensate performance degradation … Show more

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Cited by 3 publications
(5 citation statements)
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“…where B V ∈ R × with ≤ is a full column rank matrix. Then the control allocation problem (CAP) can be stated as follows [9,10].…”
Section: Fault-tolerant Control Allocation Problemmentioning
confidence: 99%
See 3 more Smart Citations
“…where B V ∈ R × with ≤ is a full column rank matrix. Then the control allocation problem (CAP) can be stated as follows [9,10].…”
Section: Fault-tolerant Control Allocation Problemmentioning
confidence: 99%
“…From the FTCAP, the reconfiguration law finds the suitable control inputs corresponding to the virtual inputs generated by the controller. Hence, the reconfiguration law can be designed by adding two inputs: (a) the normal control inputs that satisfy the CAP in (10) and (b) the additional inputs that can tolerate the degraded performance due to failures. The following theorem proposes the method of designing the reconfiguration inputs.…”
Section: The Proposed Reconfigurationmentioning
confidence: 99%
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“…For this reason, these methods are defined as fault-tolerant control (FTC) or reconfiguration. There have been proposed various fault-tolerant control techniques: pseudoinverse [1], model reference adaptive control [2], sliding mode control [3][4][5], multiple model switching and tuning [6], control allocation [3,[7][8][9][10], and so forth.…”
Section: Introductionmentioning
confidence: 99%