Comparative Analysis of ANN based Intelligent Controllers for Three Tank System

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Kodali Vijaya Lakshmi 1,* Paruchuri Srinivas 1 Challa Ramesh 2

1. Department of EIE, VR Siddhartha Engineering College, Vijayawada, 520007, India

2. Department of EIE, Bapatla Engineering College, Bapatla, 522101, India

* Corresponding author.


Received: 28 Jun. 2015 / Revised: 1 Oct. 2015 / Accepted: 1 Jan. 2016 / Published: 8 Mar. 2016

Index Terms

Three tank system, ANN, Intelligent controllers, Model predictive, Model reference, NARMA-l2


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.

Cite This Paper

Kodali Vijaya Lakshmi, Paruchuri Srinivas, Challa Ramesh, "Comparative Analysis of ANN based Intelligent Controllers for Three Tank System", International Journal of Intelligent Systems and Applications(IJISA), Vol.8, No.3, pp.34-41, 2016. DOI:10.5815/ijisa.2016.03.04


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