Dominant root locus in state estimator design for material flow processes: A case study of hot strip rolling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F17%3A00311294" target="_blank" >RIV/68407700:21220/17:00311294 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/17:00311294
Result on the web
<a href="http://dx.doi.org/10.1016/j.isatra.2017.02.004" target="_blank" >http://dx.doi.org/10.1016/j.isatra.2017.02.004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.isatra.2017.02.004" target="_blank" >10.1016/j.isatra.2017.02.004</a>

Result language
angličtina
Original language name
Dominant root locus in state estimator design for material flow processes: A case study of hot strip rolling
Original language description
The purpose of the paper is to achieve a constrained estimation of process state variables using the anisochronic state observer tuned by the dominant root locus technique. The anisochronic state observer is based on the state-space time delay model of the process. Moreover the process model is identified not only as delayed but also as non-linear. This model is developed to describe a material flow process. The root locus technique combined with the magnitude optimum method is utilized to investigate the estimation process. Resulting dominant roots location serves as a measure of estimation process performance. The higher the dominant (natural) frequency in the leftmost position of the complex plane the more enhanced performance with good robustness is achieved. Also the model based observer control methodology for material flow processes is provided by means of the separation principle. For demonstration purposes, the computer-based anisochronic state observer is applied to the strip temperatures estimation in the hot strip finishing mill composed of seven stands. This application was the original motivation to the presented research.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems

Project
<a href="/en/project/TE01020197" target="_blank" >TE01020197: Centre for Applied Cybernetics 3</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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