Digital electropneumatic control system of power boiler processes. Process identification and motion optimization

Kulessky, R.; Nudelman, G.; Zimin, M.

doi:10.1109/eeis.1996.567027

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…In our study, the term refers to finding similar processes stored in a database, whereas in different application areas, such as the studies of [11] and [6], the term is used to refer to finding mathematical models for processes.…”

Section: Introductionmentioning

confidence: 99%

Methods for Classifying Spot Welding Processes: A Comparative Study of Performance

Haapalainen

Laurinen

Junno

et al. 2005

Innovations in Applied Artificial Intelligence

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Abstract.Resistance spot welding is an important and widely used method for joining metal objects. In this paper, various classification methods for identifying welding processes are evaluated. Using process identification, a similar process for a new welding experiment can be found among the previously run processes, and the process parameters leading to high-quality welding joints can be applied. With this approach, good welding results can be obtained right from the beginning, and the time needed for the set-up of a new process can be substantially reduced. In addition, previous quality control methods can also be used for the new process. Different classifiers are tested with several data sets consisting of statistical and geometrical features extracted from current and voltage signals recorded during welding. The best feature setclassifier combination for the data used in this study is selected. Finally, it is concluded that welding processes can be identified almost perfectly by certain features.

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Section: Introductionmentioning

confidence: 99%

Methods for Classifying Spot Welding Processes: A Comparative Study of Performance

Haapalainen

Laurinen

Junno

et al. 2005

Innovations in Applied Artificial Intelligence

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Thermal power plant dynamics identification

Kulessky

Nudelman²,

Hain³

1999

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251)

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Conceptions of computer package for optimization of power station control loops tuning

Kulessky

Nudelman²,

Hain³

Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370)

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This paper presents new conceptions of the computer package for tuning optimization of power unit control loops.The proposed tuning consists of two main stages: the optimal model identification of a process and a controller parameters optimiaation. In turn, the suggested conceptions for the identification are based on the two-stage approach: the erst stage is the frequency response identification of a process, while the second one is the transfer function computation using frequency response so obtained. In the frame of the approach, optimization criteria are introduced and model accuracy is estimated by a correct controller tuning on the second stage. Additionally, this identification approach results in a calculation of process uncertainties. New optimal criteria for the controller parameters optimization are proposed considering two kinds of process non-linearities and passibility of the robust stability analysis.Based on the above conceptions the program package is developed in the Matlah environment and successfully applied for control loops tuning of power units at the Israel Electric Corporation.

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Digital electropneumatic control system of power boiler processes. Process identification and motion optimization

Cited by 5 publications

References 4 publications

Methods for Classifying Spot Welding Processes: A Comparative Study of Performance

Methods for Classifying Spot Welding Processes: A Comparative Study of Performance

Thermal power plant dynamics identification

Conceptions of computer package for optimization of power station control loops tuning

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