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Level Control of Quadruple Tank System Based on Adaptive Inverse Evolutionary Neural Controller

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  • Intelligent Control and Applications
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Abstract

This article proposes an adaptive inverse evolutionary neural (AIEN) controller for liquid level control of the quadruple tank system. Firstly, an inverse evolutionary neural model (IEN) that is utilized for offline identifying a dynamics of quadruple tank system, provides a feed-forward control signal from the reference liquid level. In which, the evolutionary neural model is a 3-layers neural network that is optimized by a hybrid method of modified differential evolution and backpropagation algorithm. Then, a hybrid feedforward and PID feedback control is realized to eliminate the steady-state error. Finally, to solve an uncertainty and disturbance characteristic, an adaptive law is proposed to adopt online in its operation. Simulation and real-time control experimental results demonstrated the feasibility and effectiveness of the proposed approach for the quadruple-tank system.

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Authors and Affiliations

  1. Faculty of Electronics Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh City, Viet Nam

    Nguyen Ngoc Son

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  1. Nguyen Ngoc Son
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Correspondence to Nguyen Ngoc Son.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Associate Editor Quoc Chi Nguyen under the direction of Editor-in-Chief Keum-Shik Hong. This work was supported by the National Foundation for Science and Technology Development (NAFOSTED), under grant number MDT: 107.01-2018.318, Viet Nam. Supporting informations are available online at (https://youtu.be/PuARVJeQSac) and (https://drive.google.com/open?id=lmybyrhHiBvJtx3tSQzUz7hvLlYdTN2xL).

Nguyen Ngoc Son received his Ph.D. degrees from Ho Chi Minh City University of Technology in 2017. He is currently a Vice-Dean of the Faculty of Electronics Technology, Industrial University of Ho Chi Minh City, Viet Nam. His current research interests include artificial intelligence, robotics, identification, and intelligent control, internet of things.

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Son, N.N. Level Control of Quadruple Tank System Based on Adaptive Inverse Evolutionary Neural Controller. Int. J. Control Autom. Syst. 18, 2386–2397 (2020). https://doi.org/10.1007/s12555-019-0504-8

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  • DOI: https://doi.org/10.1007/s12555-019-0504-8

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