Hydroxylation of Phenol to Dihydroxybenzenes: Development of Artificial Neural-Network-Based Process Identification and Model Predictive Control Strategies for a Pilot Plant Scale Reactor
1998; American Chemical Society; Volume: 37; Issue: 6 Linguagem: Inglês
10.1021/ie970509b
ISSN1520-5045
AutoresShilpa B. Tendulkar, Sanjeev S. Tambe, Ishwar Chandra, P.V. Rao, Ritik Naik, B. D. Kulkarni,
Tópico(s)Process Optimization and Integration
ResumoExperiments in a pilot-scale fixed-bed reactor system have been conducted to obtain the process input−output data for the titanium-based zeolite-catalyzed hydroxylation of phenol to dihydroxybenzenes. An artificial neural-network-based strategy has been used for identifying the process model covering the range of experimental conditions. The identified neural network model has been used to design a model predictive controller that has been tested on the experimental rig.
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