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  • Chemical reactors are often characterized by highly nonlinear behaviour. In such cases, the use of conventional control strategies where controllers have fixed parameters can result in poor performance. Knowledge about the static and dynamic properties is a necessary condition for the design of a controller. Unfortunately, measurements on the real system are not always feasible. The only way as to how to obtain static and dynamic behaviour of these systems is through the use of simulations, i.e. experiments on their mathematical model. Steady-state analysis shows the behaviour of the system in the steady state, which can help with the choice of the optimal working point, i.e. the appropriate combination of the input variables, which results in maximal production with minimal cost. On the other hand, the dynamic analysis results in the suitable control strategy. The adaptive approach in this work uses the recursive identification and the polynomial synthesis with the pole-placement method.
  • Chemical reactors are often characterized by highly nonlinear behaviour. In such cases, the use of conventional control strategies where controllers have fixed parameters can result in poor performance. Knowledge about the static and dynamic properties is a necessary condition for the design of a controller. Unfortunately, measurements on the real system are not always feasible. The only way as to how to obtain static and dynamic behaviour of these systems is through the use of simulations, i.e. experiments on their mathematical model. Steady-state analysis shows the behaviour of the system in the steady state, which can help with the choice of the optimal working point, i.e. the appropriate combination of the input variables, which results in maximal production with minimal cost. On the other hand, the dynamic analysis results in the suitable control strategy. The adaptive approach in this work uses the recursive identification and the polynomial synthesis with the pole-placement method. (en)
Title
  • Simulation of Adaptive Control of Continuous Stirred Tank Reactor
  • Simulation of Adaptive Control of Continuous Stirred Tank Reactor (en)
skos:prefLabel
  • Simulation of Adaptive Control of Continuous Stirred Tank Reactor
  • Simulation of Adaptive Control of Continuous Stirred Tank Reactor (en)
skos:notation
  • RIV/70883521:28140/09:63507812!RIV10-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM7088352101)
http://linked.open...iv/cisloPeriodika
  • 8
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 341297
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:63507812
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Adaptive Control; Polynomial Approach; Pole-placement Method; Continuous Stirred Tank Reactor (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • AT - Rakouská republika
http://linked.open...ontrolniKodProRIV
  • [56DAE92B01AF]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Simulation Modelling
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2009
http://linked.open...iv/tvurceVysledku
  • Dostál, Petr
  • Vojtěšek, Jiří
http://linked.open...n/vavai/riv/zamer
issn
  • 1726-4529
number of pages
http://localhost/t...ganizacniJednotka
  • 28140
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