International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering | |
Model Reference Adaptive Control of JacketedSTIRRED-TANK Heater | |
article | |
Kalpesh B. Pathak1  Dipak M. Adhyaru2  | |
[1] Dept. of Instrumentation & Control, Government Engg College;Dept. of Instrumentation & Control, Nirma University | |
关键词: CSTH; MRAC; Perturbation; MIT rule; Feedforward; Backpropagation; | |
来源: Research & Reviews | |
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO202307140000539ZK.pdf | 354KB | download |