Nonlinear Model Predictive Control For Bioethanol Fermentation Process
The bioethanol fermentation process has a complex dynamics and is inherently nonlinear. The nonlinearity behavior of the process is caused by the variation in the biomass composition with the operating conditions while the constraints inherited by the process increase the process complexity. Due...
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| Format: | Thesis |
| Language: | English |
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2014
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| Online Access: | http://eprints.usm.my/61083/ http://eprints.usm.my/61083/1/24%20Pages%20from%2000001780505.pdf |
| _version_ | 1848884614555238400 |
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| author | Mohd, Noraini |
| author_facet | Mohd, Noraini |
| author_sort | Mohd, Noraini |
| building | USM Institutional Repository |
| collection | Online Access |
| description | The bioethanol fermentation process has a complex dynamics and is inherently
nonlinear. The nonlinearity behavior of the process is caused by the variation in the
biomass composition with the operating conditions while the constraints inherited by
the process increase the process complexity. Due to these reasons, the modelling and
the control of the bioethanol fermentation process is difficult and the application of
model based control strategies often lead to a better performance. In this work, a
Nonlinear Model Predictive Controller (NMPC), which is one of the well-known
model control strategies, has been developed to control the product concentration and
the fermenter temperature of the bioethanol fermentation process. |
| first_indexed | 2025-11-15T19:09:30Z |
| format | Thesis |
| id | usm-61083 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:09:30Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-610832024-09-10T02:50:08Z http://eprints.usm.my/61083/ Nonlinear Model Predictive Control For Bioethanol Fermentation Process Mohd, Noraini TP1-1185 Chemical technology The bioethanol fermentation process has a complex dynamics and is inherently nonlinear. The nonlinearity behavior of the process is caused by the variation in the biomass composition with the operating conditions while the constraints inherited by the process increase the process complexity. Due to these reasons, the modelling and the control of the bioethanol fermentation process is difficult and the application of model based control strategies often lead to a better performance. In this work, a Nonlinear Model Predictive Controller (NMPC), which is one of the well-known model control strategies, has been developed to control the product concentration and the fermenter temperature of the bioethanol fermentation process. 2014-02 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/61083/1/24%20Pages%20from%2000001780505.pdf Mohd, Noraini (2014) Nonlinear Model Predictive Control For Bioethanol Fermentation Process. Masters thesis, Perpustakaan Hamzah Sendut. |
| spellingShingle | TP1-1185 Chemical technology Mohd, Noraini Nonlinear Model Predictive Control For Bioethanol Fermentation Process |
| title | Nonlinear Model Predictive Control For Bioethanol Fermentation Process |
| title_full | Nonlinear Model Predictive Control For Bioethanol Fermentation Process |
| title_fullStr | Nonlinear Model Predictive Control For Bioethanol Fermentation Process |
| title_full_unstemmed | Nonlinear Model Predictive Control For Bioethanol Fermentation Process |
| title_short | Nonlinear Model Predictive Control For Bioethanol Fermentation Process |
| title_sort | nonlinear model predictive control for bioethanol fermentation process |
| topic | TP1-1185 Chemical technology |
| url | http://eprints.usm.my/61083/ http://eprints.usm.my/61083/1/24%20Pages%20from%2000001780505.pdf |