Isolation and handling of sensor faults in nonlinear systems

This work considers the problem of sensor fault isolation and fault-tolerant control for nonlinear systems subject to input constraints. The key idea is to design fault detection residuals and fault isolation logic by exploiting model-based sensor redundancy through a state observer. To this end, a...

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Vydáno v:Automatica (Oxford) Ročník 50; číslo 4; s. 1066 - 1074
Hlavní autoři: Du, Miao, Mhaskar, Prashant
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.04.2014
Elsevier
Témata:
Adaptative systems
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Design engineering
Dynamical systems
Exact sciences and technology
Fault diagnosis
Fault isolation
Fault tolerance
Fault-tolerant systems
Faults
Industrial metrology. Testing
Logic
Mechanical engineering. Machine design
Modelling and identification
Nonlinear dynamics
Nonlinear systems
Observers
Output feedback
Sensor failures
Sensors
State observers
Fault isolation
Fault diagnosis
Fault-tolerant systems
State observers
Sensor failures
Nonlinear systems
Output feedback
High gain observer
Non linear control
Feedback regulation
Fault tolerance
Chemical reactor
System identification
Incomplete information
State estimation
Measurement error
Fault tolerant system
Closed loop
Redundancy
Measurement sensor
Forming
Non linear system
Fault diagnostic
Logic model
Defect detection
Handling
ISSN:0005-1098, 1873-2836
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Shrnutí:This work considers the problem of sensor fault isolation and fault-tolerant control for nonlinear systems subject to input constraints. The key idea is to design fault detection residuals and fault isolation logic by exploiting model-based sensor redundancy through a state observer. To this end, a high-gain observer is first presented, for which the convergence property is rigorously established, forming the basis of the residual design. A bank of residuals are then designed using a bank of observers, with each driven by a subset of measured outputs. A fault is isolated by checking which residuals breach their thresholds according to a logic rule. After the fault is isolated, the state estimate generated using measurements from the healthy sensors is used in closed-loop to maintain nominal operation. The implementation of the fault isolation and handling framework subject to uncertainty and measurement noise is illustrated using a chemical reactor example.
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ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2014.02.017