TFMST 2022 Paper Abstract

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Paper TuS1M.2

Kurniawan, Wijaya (University of Pannonia), Hangos, Katalin M. (Computer and Automation Research Institute HAS), Marton, Lorinc (Sapientia University)

Parameter fault diagnosis in heat exchange networks with distributed time delay

Scheduled for presentation during the Regular Session "Tribute to Antonio A. Alonso I" (TuS1M), Tuesday, July 26, 2022, 10:20−10:40, Lassonde M-2103

IFAC Workshop on Thermodynamic Foundations of Mathematical Systems Theory, July 24-27, 2022 , Montreal, Canada

This information is tentative and subject to change. Compiled on April 24, 2024

Keywords Chemical Process Control, Non Linear Control Systems

Abstract

This paper deals with parameter fault diagnosis in heat exchange networks (HENs) with joining and splitting connections where the change in the heat transfer coefficient is considered as fault. The fault diagnosis oriented model of the HEN elements was developed based on the equivalent LTI realization of distributed delay models. The Signed Directed Graph (SDG) method is used to derive the fault observability conditions. The presence of faults induces bi-linear fault-input terms into the system model. Thus, a nonlinear adaptive observer was proposed for fault diagnosis. To verify and validate the proposed method, a case study is presented. The simulation results show that the observers are successfully detecting and estimating the faults and unknown system states.

 

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