Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor
<p>In this article, multi-input multi-output (MIMO) linear model predictive controller (LMPC) based on state space model and nonlinear model predictive controller based on neural network (NNMPC) are applied on a <a id="_GPLITA_0" style="border: none !important; display: inlin...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Tikrit University
2015-02-01
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| Series: | Tikrit Journal of Engineering Sciences |
| Online Access: | http://www.tj-es.com/ojs/index.php/tjes/article/view/67 |
| _version_ | 1797720684919521280 |
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| author | Muayad Al-Qaisy Saba A. Gheni |
| author_facet | Muayad Al-Qaisy Saba A. Gheni |
| author_sort | Muayad Al-Qaisy |
| collection | DOAJ |
| description | <p>In this article, multi-input multi-output (MIMO) linear model predictive controller (LMPC) based on state space model and nonlinear model predictive controller based on neural network (NNMPC) are applied on a <a id="_GPLITA_0" style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: auto !important; margin: 0px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: baseline !important; width: auto !important; background: transparent !important;" title="Click to Continue > by LizardSales" href="#">continuous<img style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: 10px !important; margin: 0px 0px 0px 3px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: super !important; width: 10px !important; background: transparent !important;" src="http://cdncache-a.akamaihd.net/items/it/img/arrow-10x10.png" alt="" /></a> stirred tank reactor (CSTR). The idea is to have a good control system that will be able to give optimal performance, reject high load disturbance, and track set point change. In order to study the performance of the two model predictive controllers, MIMO Proportional-Integral-Derivative controller (PID) strategy is used as benchmark. The LMPC, NNMPC, and PID strategies are used for controlling the residual concentration (C<sub>A</sub>) and reactor temperature (T). NNMPC control shows a superior performance over the LMPC and PID controllers by presenting a smaller overshoot and shorter settling time.</p> |
| first_indexed | 2024-03-12T09:23:02Z |
| format | Article |
| id | doaj.art-3835b22a0d4c41449489482a958f88cb |
| institution | Directory Open Access Journal |
| issn | 1813-162X 2312-7589 |
| language | English |
| last_indexed | 2024-03-12T09:23:02Z |
| publishDate | 2015-02-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Engineering Sciences |
| spelling | doaj.art-3835b22a0d4c41449489482a958f88cb2023-09-02T14:23:18ZengTikrit UniversityTikrit Journal of Engineering Sciences1813-162X2312-75892015-02-01193415736Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank ReactorMuayad Al-QaisySaba A. Gheni<p>In this article, multi-input multi-output (MIMO) linear model predictive controller (LMPC) based on state space model and nonlinear model predictive controller based on neural network (NNMPC) are applied on a <a id="_GPLITA_0" style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: auto !important; margin: 0px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: baseline !important; width: auto !important; background: transparent !important;" title="Click to Continue > by LizardSales" href="#">continuous<img style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: 10px !important; margin: 0px 0px 0px 3px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: super !important; width: 10px !important; background: transparent !important;" src="http://cdncache-a.akamaihd.net/items/it/img/arrow-10x10.png" alt="" /></a> stirred tank reactor (CSTR). The idea is to have a good control system that will be able to give optimal performance, reject high load disturbance, and track set point change. In order to study the performance of the two model predictive controllers, MIMO Proportional-Integral-Derivative controller (PID) strategy is used as benchmark. The LMPC, NNMPC, and PID strategies are used for controlling the residual concentration (C<sub>A</sub>) and reactor temperature (T). NNMPC control shows a superior performance over the LMPC and PID controllers by presenting a smaller overshoot and shorter settling time.</p>http://www.tj-es.com/ojs/index.php/tjes/article/view/67 |
| spellingShingle | Muayad Al-Qaisy Saba A. Gheni Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor Tikrit Journal of Engineering Sciences |
| title | Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor |
| title_full | Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor |
| title_fullStr | Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor |
| title_full_unstemmed | Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor |
| title_short | Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor |
| title_sort | linear and non linear multi input multi output model predictive control of continuous stirred tank reactor |
| url | http://www.tj-es.com/ojs/index.php/tjes/article/view/67 |
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