TY - JOUR
T1 - Fault Diagnosis and Fault Tolerant Control for T-S Fuzzy Stochastic Distribution Systems Subject to Sensor and Actuator Faults
AU - Wang, Hao
AU - Kang, Yunfeng
AU - Yao, Lina
AU - Wang, Hong
AU - Gao, Zhiwei
N1 - Funding Information: The work of Hao Wang, Yunfeng Kang, and Lina Yao was supported by Chinese NSF under Grant 61973278.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - The problem of fault diagnosis (FD) and fault tolerant control for a class of Takagi-Sugeno (T-S) fuzzy stochastic distribution control systems subject to sensor and actuator faults is discussed in this article. First, fuzzy logic models are used to approximate the output probability density function (PDF). Next, an adaptive augmented state/FD 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 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.
AB - The problem of fault diagnosis (FD) and fault tolerant control for a class of Takagi-Sugeno (T-S) fuzzy stochastic distribution control systems subject to sensor and actuator faults is discussed in this article. First, fuzzy logic models are used to approximate the output probability density function (PDF). Next, an adaptive augmented state/FD 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 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.
KW - Fault diagnosis (FD)
KW - fault tolerant control (FTC)
KW - sensor and actuator faults
KW - stochastic distribution control (SDC) systems
KW - Takagi-Sugeno (T-S) fuzzy model
UR - http://www.scopus.com/inward/record.url?scp=85121123261&partnerID=8YFLogxK
U2 - 10.1109/TFUZZ.2020.3024659
DO - 10.1109/TFUZZ.2020.3024659
M3 - Article
AN - SCOPUS:85121123261
SN - 1063-6706
VL - 29
SP - 3561
EP - 3569
JO - IEEE Transactions on Fuzzy Systems
JF - IEEE Transactions on Fuzzy Systems
IS - 11
ER -