Performance Analysis Of Neural Network Based Narma Control For CSTR |
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BibTeX: |
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@article{IJIRSTV1I8060, |
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Abstract: |
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In this paper two intelligent control schemes based on artificial neural network for temperature control in a jacketed Continuous Stirred Tank Reactor. Objective is to regulate the reactor temperature for an exothermic reaction taking place in the CSTR by manipulating the thermal condition of jacket. PID based NARMA-L2 and PID based ANFIS controller are designed and their performances are analyzed and compared. The simulation results show the response of ANFIS control is better than NARMA-L2 control. |
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Keywords: |
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Adaptive Network Based Fuzzy Inference System (ANFIS), Continuous Stirred Tank Reactor (CSTR), Nonlinear Auto Regressive Moving Average (NARMA), And PID |
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