Design of a dynamic threshold generator for -tuned control loops

Berndtsson, Magnus; Johansson, Andréas

doi:10.1016/j.conengprac.2007.07.003

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…Fig 3 shows a comparison between the observer with integral action (lower figure) and the observer without integral action (upper figure) as described in [3]. It is the nonlinearity contribution to the threshold that is canceled with the integral action and thereby the threshold gets tighter to the residual when using integral action.…”

Section: G(s) = 2ementioning

confidence: 99%

“…The prime disadvantage with model-based fault detection is the necessity to have an analytical process model. This is why model-based fault detection is well suited to * Control Engineering Group Luleå University of Technology SE-971 87 Luleå, Sweden c corresponding author: magnus.berndtsson@ltu.se λ-tuned control loops where a process model on the form of (1) is obtained during tuning [3].…”

Section: G(s)mentioning

confidence: 99%

“…One way to solve this problem is a method that uses stability margins for choosing the upper bounds, suggested in [3]. There, the upper bound Π is chosen so that a fault is detected when the parameter changes cause a loss in phase margin that exceeds a preset bound.…”

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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Section: G(s) = 2ementioning

confidence: 99%

Section: G(s)mentioning

confidence: 99%

See 1 more Smart Citation

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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“…Various approaches have long been studied in this field [4]. As regards PID control, a method of gain adjustment for linear time-varying systems [5] and a method dealing with nonlinear characteristics [6] have proved effective. However, the implementation of gain scheduling schemes requires large amounts of information and many stages, including preliminary experiments for frequency characteristic analysis.…”

Section: Introductionmentioning

confidence: 99%

Design of nonlinear PID control systems using boosting algorithm

Kawanari

Ohnishi

2011

Elect Comm in Japan

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SUMMARYThere are many nonlinear systems among process control systems. However, it is difficult to handle nonlinear properties with a linear controller. Thus, various methods have been studied in this field. On the other hand, a scheme called boosting has been proposed in the machine learning field. This scheme can obtain highly accurate conditions by combining less-accurate conditions. Boosting can obtain better results than a neural network with fewer learning data. In this paper, we propose a method for the design of nonlinear PID control systems using the boosting algorithm. The original boosting is capable of dealing only with two-valued variables, and thus we extend the algorithm for function approximation using it. Finally, simulation examples are presented in order to demonstrate the effectiveness of the proposed scheme.

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Robust and nonlinear control literature survey (No. 7)

2008

Intl J Robust & Nonlinear

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In order to keep readers up to date, the journal will contain a list of recently published journal articles relevant to the fields of robust and nonlinear control six times a year. This list is compiled from a wide range of journals. Please note that even though the list has been broadly categorized these classifications are by no means strict and are there to assist the reader. Please also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions or comments, please e-mail Leonardo Giovanini at leonardo.giovanini@eee.strath.ac.uk.

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Design of a dynamic threshold generator for -tuned control loops

Cited by 7 publications

References 13 publications

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

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

Design of nonlinear PID control systems using boosting algorithm

Robust and nonlinear control literature survey (No. 7)

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Design of a dynamic threshold generator for -tuned control loops

Cited by 7 publications

References 13 publications

Fault detection in &#x003BB;-tuned control loops using an observer with integral action

Fault detection in &#x003BB;-tuned control loops using an observer with integral action

Design of nonlinear PID control systems using boosting algorithm

Robust and nonlinear control literature survey (No. 7)

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About

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

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