A Takagi-Sugeno Fuzzy Dynamic Model of a Concentric-Tubes Heat Exchanger
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Claudia Ruiz-Mercado
We develop a Takagi-Sugeno (TS) fuzzy model of a concentric-tubes heat exchanger. The model is structured on fuzzy logic reasoning with sets of linguistic rules describing the dynamic characteristics of the thermal system. Using a system identification technique based on adaptive neural networks and subtractive clustering, the fuzzy rules are derived from experimental data of flow rates and fluid temperatures that were previously collected in a heat exchanger test facility. The accuracy of the resulting model is assessed by comparing predictions, versus experimental measurements, of the time-dependent response of the outlet hot- and cold-water temperatures under a step-change in the mass flow rate of the cold fluid. The results indicate that the TS fuzzy model is able to estimate the behavior of the physical system with predicting errors of the order of the experimental uncertainties.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Process Modeling & Control: A Special Issue of Chemical Product & Process Modeling
- Determination of Kinetic and Stoichiometric Parameters of Pseudomonas putida F1 by Chemostat and In Situ Pulse Respirometry
- Exponential Observer Design for State Estimation in a Class of Anaerobic Sulfate Reducing Bioreactor
- From Reacting to Predicting Technologies: A Novel Performance Monitoring Technique Based on Detailed Dynamic Models
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- Dynamic Process and Accident Simulations as Tools to Prevent Industrial Accidents
- Modeling Disturbance Dynamics to Improve Controller Performance in Industrial Loops
- On the Design of an In-Line Control System for a Vial Freeze-Drying Process: The Role of Chamber Pressure
- A Takagi-Sugeno Fuzzy Dynamic Model of a Concentric-Tubes Heat Exchanger
- Design of Dynamics of a Recuperative Catalytic Combustor: Enhancement in Operation and Control
- Formulation and Spectral Reduction of the Dynamical Model of a Circulating Fluidized Bed Combustor
