Fault isolation and fault-tolerant control for nonlinear stochastic distribution control systems with multiplicative faults

Kang, Yunfeng; Yao, Lina; Zhou, Jinglin; Wang, Hong

doi:10.1002/rnc.6682

Title: Fault isolation and fault-tolerant control for nonlinear stochastic distribution control systems with multiplicative faults

Journal Article · Thu Mar 30 00:00:00 EDT 2023 · International Journal of Robust and Nonlinear Control

DOI:https://doi.org/10.1002/rnc.6682· OSTI ID:1996680

Kang, Yunfeng ^[1];

^[1]; Zhou, Jinglin ^[2];

^[3]

Zhengzhou University (China)
Beijing University of Chemical Technology (China)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Here, in this paper, a fault isolation, diagnosis and fault tolerant control algorithm is proposed for nonlinear multiple multiplicative faults stochastic distribution control systems employing Takagi–Sugeno fuzzy system. To obtain the detailed fault information, a fault detection algorithm is introduced to discover the fault occurrence time. Then a fault isolation observer is built to produce the residual, and the error system is separated to subsystems affected only by disturbance and multiplicative faults. Moreover, a fault estimation scheme is presented to obtain the fault magnitude information. When faults occur, the system output probability density function will deviate from the desired distribution. So the model predictive control fault tolerant control scheme is needed to minimize the impact of faults as much as possible to make sure that the post fault output probability density function track the desired probability density function. The validity of the designed algorithm is demonstrated through a simulation example, where the fault tolerant control algorithm ensures that the system output probability density function still track the given output probability density function despite the complex case of multiple multiplicative faults occurring simultaneously.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1996680

Journal Information:: International Journal of Robust and Nonlinear Control, Vol. 33, Issue 11; ISSN 1049-8923

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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