Comparative Analysis of ANN based Intelligent Controllers for Three Tank System | Zendy

K Vijaya Lakshmi | Zendy; P. Srinivas | Zendy; Challa Ramesh | Zendy

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Comparative Analysis of ANN based Intelligent Controllers for Three Tank System

Author(s) -

K Vijaya Lakshmi,

P. Srinivas,

Challa Ramesh

Publication year - 2016

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2016.03.04

Subject(s) - settling time , computer science , pid controller , matlab , artificial neural network , process (computing) , control theory (sociology) , controller (irrigation) , nonlinear system , control engineering , model predictive control , intelligent control , control (management) , artificial intelligence , temperature control , step response , engineering , agronomy , physics , quantum mechanics , biology , operating system

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 networks 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.

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