Comparative Analysis of ANN based Intelligent Controllers for Three Tank System
Автор: Kodali Vijaya Lakshmi, Paruchuri Srinivas, Challa Ramesh
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 3 vol.8, 2016 года.
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Three tank liquid level control system plays a significant role in process industries and its behavior is nonlinear in nature. Conventional PID controller generally does not work effectively for such systems. This paper deals with the design of three intelligent controllers namely model predictive, model reference and NARMA-L2 controllers based on artificial neural net-works for a three tank level process. These controllers are simulated using MATLAB/SIMULINK. The performance indices of intelligent controllers are compared based on the time domain specifications. The performance of NN predictive controller shows superiority over other controllers in terms of settling time.
Three tank system, ANN, Intelligent controllers, Model predictive, Model reference, NARMA-l2
Короткий адрес: https://sciup.org/15010803
IDR: 15010803
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