Linear Optimization of Parameters in Dynamic Threshold Generators

Bask, Michael; Johansson, Andréas

doi:10.3182/20050703-6-cz-1902.01881

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Threshold Parameter Design1

R(t)| ∀T1

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2006

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Cited by 2 publications

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“…It is then possible to determine the parameter vector π * such that σ ≥ |r| by solving a linear inequality problem, as shown in [2].…”

Section: Threshold Parameter Designmentioning

confidence: 99%

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Fault detection in λ-tuned control loops using an observer with integral action

Berndtsson¹,

Johansson²

2006

Proceedings of the 45th IEEE Conference on Decision and Control

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Abstract-A model-based fault detection algorithm assuming uncertain process parameters is used for detecting poorly operating λ-tuned control loops. The a priori information obtained from λ-tuning is used to create an observer as residual generator. The observer has integral action which makes it possible to obtain a tight fault detection threshold. A linear optimization approach is used for finding the parameters in the threshold. INTRODUCTIONThis work focuses on fault detection for a special kind of controller, the λ-tuned PI controller. The λ-tuning is a standard developed by the swedish pulp and paper industry [10] [9] for tuning PI controllers for first order systems with time-delay i.e.

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“…It is then possible to determine the parameter vector π * such that σ ≥ |r| by solving a linear inequality problem, as shown in [2].…”

Section: Threshold Parameter Designmentioning

confidence: 99%

“…In order to express a condition for stability of (I − H * ) −1 as a linear inequality, the following Lemma from [2] will be used Lemma 2:…”

Section: R(t)| ∀Tmentioning

confidence: 99%