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Description
  • First principle process model of GUNT RT 010 experimental unit is designed for the purpose of various modern control methods laboratory testing and applications. Unknown parameters are estimated from experimental data. Model Predictive Control is applied to the system to verify quality of the model and to demonstrate its use. Two approaches are considered according to process model ? transfer function and state-space model. Known future set-point and constraints on input, state and output variable are part of the controller ? optimal control actions are calculated by quadratic programming.
  • First principle process model of GUNT RT 010 experimental unit is designed for the purpose of various modern control methods laboratory testing and applications. Unknown parameters are estimated from experimental data. Model Predictive Control is applied to the system to verify quality of the model and to demonstrate its use. Two approaches are considered according to process model ? transfer function and state-space model. Known future set-point and constraints on input, state and output variable are part of the controller ? optimal control actions are calculated by quadratic programming. (en)
Title
  • GUNT RT 010 Experimental Unit Modelling and Predictive Control Application
  • GUNT RT 010 Experimental Unit Modelling and Predictive Control Application (en)
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  • GUNT RT 010 Experimental Unit Modelling and Predictive Control Application
  • GUNT RT 010 Experimental Unit Modelling and Predictive Control Application (en)
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  • RIV/00216275:25530/14:39897652!RIV15-MSM-25530___
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  • 18682
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  • RIV/00216275:25530/14:39897652
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  • GUNT RT 010; experimental identification; modelling; Model Predictive Control (en)
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  • [17EC5C2C14D2]
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  • Ostrava
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  • New York
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  • Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems
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  • Dušek, František
  • Honc, Daniel
  • Sharma, Rahul
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issn
  • 2194-5357
number of pages
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  • 10.1007/978-3-319-07401-6_17
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  • Springer-Verlag
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  • 978-3-319-07400-9
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  • 25530
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