CATEGORY:
PROCESS CONTROL
Systematic design of an optimal control system for the SHARON-Anammox process
Systematic design of an optimal control system for the SHARON-Anammox process
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Type
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Journal
Article
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Author
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Borja
Valverde-Pérez
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Author
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Miguel
Mauricio-Iglesias
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URL
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Volume
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39
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Pages
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1-10
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Publication
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Journal
of Process Control
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Date
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March
2016
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Abstract
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Reports
a study of a systematic design of an optimal control structure for the
SHARON-Anammox nitrogen removal process. The technique incorporates two
innovative features to assess the controllability of the design variables
candidate for the regulatory control layer: (i) H∞ control method, which
formulates the control problem as a mathematical optimization problem, and
(ii) close-loop disturbance gain (CLDG) plots.
Authors demonstrate the methodology to be particularly appropriate for bioreactors. The solution of the mixed sensitivity stacked H∞ control problem ranked the combinations of controlled variables (CVs). The best candidates to CVs were paired with the manipulated variables using the relative gain array. The proposed control structure was further analyzed and verified for disturbance rejection using the CLDG plots. The optimal pairing of CVs with the actuators (kLa and acid/base addition) was determined to be dissolved oxygen (DO) and pH in the SHARON reactor. Additionally, to relate the controller actions to process operation objective, nitrogen removal efficiency, two cascade control systems are designed. The first cascade loop controls TNN/TAN ratio in the influent to the Anammox reactor by adjusting the set point for DO in the regulatory layer, while the second cascade loop controls the nitrogen removal efficiency (i.e. effluent TNN and TAN) by adjusting the TNN/TAN ratio at the effluent of the SHARON reactor. The control system was evaluated and benchmarked using a set of realistic dynamic scenario simulations, demonstrating that the different control strategies successfully maintain stable and high nitrogen removal efficiency. The nested cascade control structure exhibited the best performance. Both the control design methodology and the resulting optimal control structures are expected to contribute to stable operation and control of these emerging nitrogen removal technologies. |
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