Advanced control of a fluidized bed using a model-predictive controller
The control of fluidized-bed processes remains an area of intensive research due to their complexity and the inherent nonlinearity and varying operational dynamics involved. There are a variety of problems in chemical engineering that can be formulated as Nonlinear Programming (NLP) problems. The qu...
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| Format: | Article |
| Language: | English |
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American-Eurasian Network for Scientific Information, Jordan
2009
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| Online Access: | http://eprints.um.edu.my/7036/1/Advanced_control_of_a_fluidized_bed_using_a_model-predictive_controller.pdf |
| _version_ | 1825719314609602560 |
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| author | Ibrehem, Ahmmed S. Hussain, Mohd Azlan Ghasem, Nayef M. |
| author_facet | Ibrehem, Ahmmed S. Hussain, Mohd Azlan Ghasem, Nayef M. |
| author_sort | Ibrehem, Ahmmed S. |
| collection | UM |
| description | The control of fluidized-bed processes remains an area of intensive research due to their complexity and the inherent nonlinearity and varying operational dynamics involved. There are a variety of problems in chemical engineering that can be formulated as Nonlinear Programming (NLP) problems. The quality of the solution developed significantly affects the performance of such a system. Controller design involves tuning of the process controllers and their implementation to achieve a specified performance of the controlled variables. Here we used a Sequential Quadratic Programming (SQP) method to tackle the constrained high-NLP problem, in this case a modified mathematical model of gas-phase olefin polymerisation in a fluidized-bed catalytic reactor. The objective of this work was to present a comparative study; PID control was compared to an advanced neural network-based MPC decentralised controller, and the effect of SQP on the performance of the controlled variables was studied. The two control approaches were evaluated for set-point tracking and load rejection properties, both giving acceptable results. |
| first_indexed | 2024-03-06T05:17:47Z |
| format | Article |
| id | um.eprints-7036 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:17:47Z |
| publishDate | 2009 |
| publisher | American-Eurasian Network for Scientific Information, Jordan |
| record_format | dspace |
| spelling | um.eprints-70362019-11-14T01:43:24Z http://eprints.um.edu.my/7036/ Advanced control of a fluidized bed using a model-predictive controller Ibrehem, Ahmmed S. Hussain, Mohd Azlan Ghasem, Nayef M. TA Engineering (General). Civil engineering (General) TP Chemical technology The control of fluidized-bed processes remains an area of intensive research due to their complexity and the inherent nonlinearity and varying operational dynamics involved. There are a variety of problems in chemical engineering that can be formulated as Nonlinear Programming (NLP) problems. The quality of the solution developed significantly affects the performance of such a system. Controller design involves tuning of the process controllers and their implementation to achieve a specified performance of the controlled variables. Here we used a Sequential Quadratic Programming (SQP) method to tackle the constrained high-NLP problem, in this case a modified mathematical model of gas-phase olefin polymerisation in a fluidized-bed catalytic reactor. The objective of this work was to present a comparative study; PID control was compared to an advanced neural network-based MPC decentralised controller, and the effect of SQP on the performance of the controlled variables was studied. The two control approaches were evaluated for set-point tracking and load rejection properties, both giving acceptable results. American-Eurasian Network for Scientific Information, Jordan 2009 Article PeerReviewed application/pdf en http://eprints.um.edu.my/7036/1/Advanced_control_of_a_fluidized_bed_using_a_model-predictive_controller.pdf Ibrehem, Ahmmed S. and Hussain, Mohd Azlan and Ghasem, Nayef M. (2009) Advanced control of a fluidized bed using a model-predictive controller. Australian Journal of Basic and Applied Sciences, 3 (4). pp. 3954-3974. ISSN 1991-8178, http://www.ajbasweb.com/old/ajbas/2009/3954-3974.pdf |
| spellingShingle | TA Engineering (General). Civil engineering (General) TP Chemical technology Ibrehem, Ahmmed S. Hussain, Mohd Azlan Ghasem, Nayef M. Advanced control of a fluidized bed using a model-predictive controller |
| title | Advanced control of a fluidized bed using a model-predictive controller |
| title_full | Advanced control of a fluidized bed using a model-predictive controller |
| title_fullStr | Advanced control of a fluidized bed using a model-predictive controller |
| title_full_unstemmed | Advanced control of a fluidized bed using a model-predictive controller |
| title_short | Advanced control of a fluidized bed using a model-predictive controller |
| title_sort | advanced control of a fluidized bed using a model predictive controller |
| topic | TA Engineering (General). Civil engineering (General) TP Chemical technology |
| url | http://eprints.um.edu.my/7036/1/Advanced_control_of_a_fluidized_bed_using_a_model-predictive_controller.pdf |
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