Fault-tolerant Model Predictive Control Strategy Applied to Industrial Processes
Date
2019-09-20
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Publisher
IEEE
Abstract
This paper presents a strategy to address the income of actuators faults using a model-based predictive controller scheme, which allows to track a reference even in the presence of actuator faults. The proposed fault-tolerant control system adopts a model predictive control technique to design a reconfigurable fault-tolerant controller and a reduce-order observer to achieve the fault detection and diagnosis function. Simulation results, based on two typical chemical industries processes, are given to illustrate the use and performance of such approach.
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Keywords
Reduce-order observer, Fault detection and diagnosis, Discrete time systems, Fault-tolerant control
Citation
2019 XVIII Workshop on Information Processing and Control (RPIC)
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