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Wednesday, 18 April 2012 |
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MSc colloquium:
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Linear Parameter-Varying Modeling of a High-Purity Distillation Column
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Speaker:
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Ahmad Alrianes Bachnas
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Supervisor:
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Prof.dr.ir. P.M.J. Van den Hof,dr.ir. R. Toth
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Location:
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Room C
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Time:
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14:00 until 14:30
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Abstract:
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One of the main reasons for the success story of PID control in process applications has always been the difficulty and complexity of modeling chemical, thermal, and physical phenomena in these systems. Linear Time-Invariant (LTI) identification has been found incapable to accurately capture the dynamics in these applications over the entire operating region, while nonlinear identification methods are still often result in over-laborious and expensive process modeling tools with a too complex model for control synthesis. The concept of data-driven Linear Parameter-Varying (LPV) modeling offers an in between solution over LTI and nonlinear identification. Furthermore, the LPV framework is considered to have the potential to become the long-waited solution for the modeling and control problems of the process field. In this work, a high-purity distillation column, a Propane-Propene (PP) splitter, is chosen as a case study to explore this potential of LPV modeling. The PP-splitter represents a particularly challenging process system due to its nonlinear behavior in the high-purity operating region. This presentation will show preliminary result of LPV modeling on PP splitter, where local approach method have been applied and studied. Throughout the presentation, theories of different LPV local approach schemes as well as interpolation methods will be explained briefly. The result comparison between those method will gives better view on LPV modeling for the case study. Furthermore, the result shows that LPV modeling can be an attractive solution for this system.
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Other info:
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Literature colloquium
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