Research Article Open Access

Model Reference Adaptive Control of Jacketed STIRRED-TANK Heater

Abstract

Paper presents an important adaptive control technique, model reference adaptive control for temperature control in jacketed stirred tank heater. In heater a hot fluid is circulated through the jacket which is assumed to be perfectly mixed. Energy balance equations on the vessel and jacket fluids have been used as a model for simulation. Initially MIT rule technique has been applied for control. Data base of adjustment parameter θ and output of same has been saved for future strategy of neural network learning and training. By applying neural network based algorithm new values of θ have been generated. For uncertain system, results shows that as compared to conventional MRAC, Adjustment parameter θ generated using neural network leads to better result and robustness. Basics of MIT rule and small literature survey on stirred tank jacketed heater control and MRAC has also been discussed.

Kalpesh B. Pathak, Dipak M. Adhyaru

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