Identification and Accommodation of Control Actuator Faults Using Multi-rate Sampled Measurements
This work presents a model-based approach for the detection, estimation and accommodation of control actuator faults in dynamic processes controlled using multi-rate sampled state measurements. Initially, a model-based state feedback controller that employs an inter-sample model predictor to compens...
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Published in | IFAC-PapersOnLine Vol. 52; no. 1; pp. 305 - 310 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2019
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Subjects | |
Online Access | Get full text |
ISSN | 2405-8963 2405-8963 |
DOI | 10.1016/j.ifacol.2019.06.079 |
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Abstract | This work presents a model-based approach for the detection, estimation and accommodation of control actuator faults in dynamic processes controlled using multi-rate sampled state measurements. Initially, a model-based state feedback controller that employs an inter-sample model predictor to compensate for the unavailability of continuous state measurements is designed. Characterizations of both the stability and performance properties of the multi-rate sampled-data closed-loop system are obtained and expressed in terms of the measurement sampling rates, the magnitudes of the faults, and the various predictor and controller design parameters. A parameter estimator that estimates the magnitudes of the faults by minimizing the error between the estimated and sampled states over a moving horizon is then introduced and used to determine the fault or health status of the control actuators at the sampling times. The identification of faults triggers a fault accommodation scheme that adjusts selected predictor and controller design parameters to simultaneously preserve closed-loop stability and optimize a pre-defined performance metric. The implementation of the developed approach is illustrated using a simulated model of a solid oxide fuel cell system subject to both stability and performance-degrading actuator faults. A discussion of some of the intricacies of the multi-rate sampling scheme and how they impact the practical implementation of the fault identification and accommodation schemes is presented. |
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AbstractList | This work presents a model-based approach for the detection, estimation and accommodation of control actuator faults in dynamic processes controlled using multi-rate sampled state measurements. Initially, a model-based state feedback controller that employs an inter-sample model predictor to compensate for the unavailability of continuous state measurements is designed. Characterizations of both the stability and performance properties of the multi-rate sampled-data closed-loop system are obtained and expressed in terms of the measurement sampling rates, the magnitudes of the faults, and the various predictor and controller design parameters. A parameter estimator that estimates the magnitudes of the faults by minimizing the error between the estimated and sampled states over a moving horizon is then introduced and used to determine the fault or health status of the control actuators at the sampling times. The identification of faults triggers a fault accommodation scheme that adjusts selected predictor and controller design parameters to simultaneously preserve closed-loop stability and optimize a pre-defined performance metric. The implementation of the developed approach is illustrated using a simulated model of a solid oxide fuel cell system subject to both stability and performance-degrading actuator faults. A discussion of some of the intricacies of the multi-rate sampling scheme and how they impact the practical implementation of the fault identification and accommodation schemes is presented. |
Author | Allen, James T. El-Farra, Nael H. |
Author_xml | – sequence: 1 givenname: James T. surname: Allen fullname: Allen, James T. organization: Department of Chemical Engineering, University of California, Davis, CA 95616 – sequence: 2 givenname: Nael H. surname: El-Farra fullname: El-Farra, Nael H. email: nhelfarra@ucdavis.edu organization: Department of Chemical Engineering, University of California, Davis, CA 95616 |
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Keywords | Multi-rate sampling Fault estimation Fault accommodation Actuator faults Model-based control |
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SubjectTerms | Actuator faults Fault accommodation Fault estimation Model-based control Multi-rate sampling |
Title | Identification and Accommodation of Control Actuator Faults Using Multi-rate Sampled Measurements |
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