2015
DOI: 10.1002/acs.2566
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Fault‐tolerant control of an air heating fan using set‐valued observers: An experimental evaluation

Abstract: This paper proposes a multiple-model solution to the problem of controlling an air heating fan subject to faults. These faults are modeled by means of an abnormal unknown airflow input rate which the nominal controller is not designed for. Moreover, the average temperature of the air flowing through the system, which can be seen as an offset on the corresponding dynamics, is (slowly) time-varying and highly dependent on the ambient temperature. The fault-tolerant control (FTC) method adopted makes use of set-v… Show more

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Cited by 3 publications
(2 citation statements)
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References 59 publications
(88 reference statements)
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“…In order to provide a state of the art picture of the development of set‐membership methods applied to FDI and FTC, this issue places the focus on transitioning from theoretical to practical studies. It is organized according to a double progression by goals and by techniques: the papers deal with FDI, and the papers address FTC objectives, while the main techniques used are successively related to paving methods , parameter estimation and identification , observation , control , and Networked Control Systems (NCS) .…”
mentioning
confidence: 99%
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“…In order to provide a state of the art picture of the development of set‐membership methods applied to FDI and FTC, this issue places the focus on transitioning from theoretical to practical studies. It is organized according to a double progression by goals and by techniques: the papers deal with FDI, and the papers address FTC objectives, while the main techniques used are successively related to paving methods , parameter estimation and identification , observation , control , and Networked Control Systems (NCS) .…”
mentioning
confidence: 99%
“…Rosa et al , describe the application of a multiple model adaptive control methodology to FTC of an air heating fan. The concept of absolute distinguishability is used to evaluate input signals that facilitate the detection of faults.…”
mentioning
confidence: 99%