Dynamic modeling of a simple reverse osmosis desalination plant for advanced control purposes
Reverse osmosis (RO) has become an important process for desalting water. It requires an efficient control system to maintain costs at acceptable level and therefore dynamic models are essential. Although it is possible to find in the literature steady-state models and some dynamic models obtained b...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
2007
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| In: |
American Control Conference, 2007
Year: 2007, Pages: 4854-4859 |
| DOI: | 10.1109/ACC.2007.4283019 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1109/ACC.2007.4283019
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| Verfasserangaben: | A. Gambier, A. Krasnik, E. Badreddin |
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| 520 | |a Reverse osmosis (RO) has become an important process for desalting water. It requires an efficient control system to maintain costs at acceptable level and therefore dynamic models are essential. Although it is possible to find in the literature steady-state models and some dynamic models obtained by parameter identification, there are no reports about lumped parameter dynamic models for control purposes obtained by application of physical laws. Such models are useful not only to design model-based control systems but also for the implementation of fault tolerant systems based on fault detection and isolation (FDI) methods, as well as to analyze transient characteristics of the plant. In this paper, models from the literature are shortly analyzed and a simple lumped parameter model for control purposes, which is derived from physical laws, is proposed. Moreover, a block-oriented library for MATLAB/SIMULINKtrade is presented, so that different plant configurations can be implemented as block diagram to simulate the system and to test control algorithms. | ||
| 650 | 4 | |a advanced control purposes | |
| 650 | 4 | |a block-oriented library | |
| 650 | 4 | |a Control system synthesis | |
| 650 | 4 | |a Costs | |
| 650 | 4 | |a desalination | |
| 650 | 4 | |a Desalination | |
| 650 | 4 | |a desalting water | |
| 650 | 4 | |a dynamic modeling | |
| 650 | 4 | |a Fault detection | |
| 650 | 4 | |a fault detection and isolation methods | |
| 650 | 4 | |a fault diagnosis | |
| 650 | 4 | |a fault tolerant systems | |
| 650 | 4 | |a Fault tolerant systems | |
| 650 | 4 | |a lumped parameter dynamic models | |
| 650 | 4 | |a Mathematical model | |
| 650 | 4 | |a MATLAB-SIMULINK | |
| 650 | 4 | |a model-based control systems | |
| 650 | 4 | |a osmosis | |
| 650 | 4 | |a Parameter estimation | |
| 650 | 4 | |a parameter identification | |
| 650 | 4 | |a Reverse osmosis | |
| 650 | 4 | |a reverse osmosis desalination plant | |
| 650 | 4 | |a Steady-state | |
| 650 | 4 | |a steady-state models | |
| 650 | 4 | |a test control algorithms | |
| 650 | 4 | |a Transient analysis | |
| 700 | 1 | |a Krasnik, Andrej |e VerfasserIn |4 aut | |
| 700 | 1 | |a Badreddin, Essameddin |e VerfasserIn |0 (DE-588)1136732853 |0 (DE-627)893510246 |0 (DE-576)490797644 |4 aut | |
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