Robust Liquid Level Control of Quadruple Tank System: A Nonlinear Model-Free Approach

Author:

Hashim Zahraa Sabah1ORCID,Khani Halah I.1,Azar Ahmad Taher23ORCID,Khan Zafar Iqbal2ORCID,Smait Drai Ahmed4,Abdulwahab Abdulkareem5,Zalzala Ali Mahdi6,Jawad Anwar Ja’afar Mohamad7,Ahmed Saim2,Ibraheem Ibraheem Kasim8ORCID,Najm Aws Abdulsalam9ORCID,Fati Suliman Mohamed2ORCID,Tounsi Mohamed2ORCID,Mahlous Ahmed Redha2ORCID

Affiliation:

1. Medical Instrumentation Techniques Engineering Department, College of Engineering and Information Technology, AlShaab University, Baghdad 10001, Iraq

2. College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia

3. Faculty of Computers and Artificial Intelligence, Benha University, Benha 13518, Egypt

4. The University of Mashreq, Baghdad 10001, Iraq

5. Air Conditioning and Refrigeration Techniques Engineering Department, Al-Mustaqbal University College, Babylon 10001, Iraq

6. Department of Electronics and Communication, College of Engineering, Uruk University, Baghdad 10001, Iraq

7. Department of Computer Techniques Engineering, Al-Rafidain University College, Baghdad 10001, Iraq

8. Department of Computer Techniques engineering, Dijlah University College, Baghdad 10001, Iraq

9. Department of Electrical Engineering, College of Engineering, University of Baghdad, Baghdad 10001, Iraq

Abstract

In this paper, two new versions of modified active disturbance rejection control (MADRC) are proposed to stabilize a nonlinear quadruple tank system and control the water levels of the lower two tanks in the presence of exogenous disturbances, parameter uncertainties, and parallel varying input set-points. The first proposed scheme is configured from the combination of a modified tracking differentiator (TD), modified super twisting sliding mode (STC-SM), and modified nonlinear extended state observer (NLESO), while the second proposed scheme is obtained by aggregating another modified TD, a modified nonlinear state error feedback (MNLSEF), and a fal-function-based ESO. The MADRC schemes with a nonlinear quadruple tank system are investigated by running simulations in the MATLAB/SIMULINK environment and several comparison experiments are conducted to validate the effectiveness of the proposed control schemes. Furthermore, the genetic algorithm (GA) is used as a tuning algorithm to parametrize the proposed MADRC schemes with the integral time absolute error (ITAE), integral square of the control signal (ISU), and integral absolute of the control signal (IAU) as an output performance index (OPI). Finally, the simulation results show the robustness of the proposed schemes with a noticeable reduction in the OPI.

Funder

Prince Sultan University, Riyadh, Saudi Arabia

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

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