Tuning and evaluation of proportional linear Luenberger observers by pole placement for batch crystallization
DOI:
https://doi.org/10.54167/tch.v19i2.1918Keywords:
industrial processes, process engineering, state observer, simulationAbstract
Crystallization is a widely used unit operation in various industrial sectors, such as in the production of pharmaceutical, food, and fine chemical products, where high purity and precise particle size control are required. While it offers significant operational advantages, it also presents challenges in variable monitoring. Online crystallization monitoring often requires expensive and technically complex instrumentation. A viable alternative is the use of proportional linear Luenberger observers (PLLOs), which are software-based tools derived from mathematical models representing the process. This study aimed to design proportional linear Luenberger observers (PLLOs) using a pole placement methodology. The proposed system was based on the model by Mesbah et al. (2011) for ammonium sulfate and water crystallization. Unlike the observers presented by Mesbah et al. (2011), the present study demonstrates how a properly tuned proportional Luenberger observer (PLLOs) can accurately estimate all states when they are measurable. As a result, a set of PLLOs was obtained, and the best-performing one was selected based on specific performance metrics, demonstrating satisfactory results. This work contributes to the development of cost-effective and reliable alternatives for crystallization monitoring in industrial applications.
DOI: https://doi.org/10.54167/tch.v19i2.1918
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