Fault Isolation and Fault-Tolerant Control for Takagi-Sugeno Fuzzy Time-Varying Delay Stochastic Distribution Systems

A fault isolation, estimation, and fault-tolerant control (FTC) scheme for nonlinear time-varying delay stochastic distribution control systems was presented in this article. The Takagi-Sugeno fuzzy model was adopted to represent the nonlinear dynamics of time-varying delay systems. According to the...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on fuzzy systems Ročník 30; číslo 4; s. 1185 - 1195
Hlavní autori: Kang, Yunfeng, Yao, Lina, Wang, Hong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.04.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Actuators
Algorithms
Delay
Delays
Dynamical systems
ENGINEERING
Equivalence principle
Estimation
Fault detection
Fault estimation
fault isolation
Fault tolerance
fault-tolerant control
fault-tolerant control (FTC)
Faults
Fuzzy control
Laplace transformation
Linear matrix inequalities
Mathematical analysis
Nonlinear dynamics
Observers
Probability density function
Probability density functions
Probability theory
Sensors
State vectors
stochastic distribution control (SDC) systems
stochastic distribution control systems
Subsystems
Takagi-Sugeno (T-S) fuzzy model
Time varying control
time-varying delay
Time-varying systems
ISSN:1063-6706, 1941-0034
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:A fault isolation, estimation, and fault-tolerant control (FTC) scheme for nonlinear time-varying delay stochastic distribution control systems was presented in this article. The Takagi-Sugeno fuzzy model was adopted to represent the nonlinear dynamics of time-varying delay systems. According to the output equivalence principle and Laplace transformation, an augmented state vector was given to solve the time-varying delay problem. When multiple actuator faults and interference occur simultaneously, fault detection, isolation, and fault estimation were designed to obtain the fault information. To decouple faults and obtain the size and location information of the fault, the system was separated into two parts through the designed multiple conversion matrices, in which one subsystem was only affected by one actuator fault. This has simplified the design of fault isolation and estimation. An adaptive observer for fault estimation was given. Then, the fault information such as the time, location, and size was determined. The observer gain matrices were calculated using linear matrix inequality. When a fault was detected and diagnosed, an FTC algorithm was devised using the proportional-integral control scheme to compensate the fault as much as possible. It has been shown that even if multiple faults actuator occurred simultaneously, the FTC controller still ensured that the output probability density function of the system traces the desired probability density function. Finally, the expected results were obtained through simulation example, which confirms the effectiveness of the method.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
USDOE
AC05-00OR22725
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2021.3053320