Fault diagnosis and fault tolerant control for T-S fuzzy stochastic distribution systems subject to sensor and actuator faults

Wang, Hao; Kang, Yunfeng; Yao, Lina; Wang, Hong; Gao, Zhiwei

doi:10.1109/tfuzz.2020.3024659

Title: Fault diagnosis and fault tolerant control for T-S fuzzy stochastic distribution systems subject to sensor and actuator faults

Journal Article · Fri Sep 18 00:00:00 EDT 2020 · IEEE Transactions on Fuzzy Systems

DOI:https://doi.org/10.1109/tfuzz.2020.3024659· OSTI ID:1813269

Wang, Hao ^[1]; Kang, Yunfeng ^[1]; Yao, Lina ^[1]; Wang, Hong ^[2]; Gao, Zhiwei ^[3]

Zhengzhou University (China)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Northumbria University, Newcastle (England)

The problem of fault diagnosis (FD) and fault tolerant control (FTC) for a class of Takagi-Sugeno (T-S) fuzzy stochastic distribution control (SDC) systems subject to sensor and actuator faults is discussed in this paper. First, fuzzy logic models are used to approximate the output probability density function (PDF). Next, an adaptive augmented state/fault diagnosis observer is proposed to estimate the system state, sensor and the actuator faults simultaneously. New expected weights based on the sensor fault estimation information and a PI-type fuzzy feedback fault tolerant (FT) controller are designed to compensate the effect of sensor fault and actuator fault simultaneously. When the sensor fault occurs, the expected objective is redesigned to compensate the sensor fault. Meanwhile, the PI controller can compensate the effect of actuator fault, and the output PDF of the system can still track the desired PDF after the fault occurs. Finally, an example of quality distribution control in chemical reaction process is given to confirm the effectiveness of the algorithm.

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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:: 1813269

Journal Information:: IEEE Transactions on Fuzzy Systems, Vol. 29, Issue 11; ISSN 1063-6706

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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