alexa Model Reference Adaptive Control of Jacketed STIRRED-T
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
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Research Article

Model Reference Adaptive Control of Jacketed STIRRED-TANK Heater

Kalpesh B. Pathak1, Dipak M. Adhyaru2
  1. Assistant Professor, Dept. of Instrumentation & Control, Government Engg College, Gandhinagar, Gujarat, India
  2. Professor & Section Head, Dept. of Instrumentation & Control, Nirma University, Ahmedabad, Gujarat, India
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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.


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