Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Research Article

Experimental Validation of Adaptive Control Techniques for Conical Tank System

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  • @INPROCEEDINGS{10.4108/eai.7-12-2021.2314734,
        author={Kanthalakshmi.  S},
        title={Experimental Validation of Adaptive Control Techniques for Conical Tank System},
        proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India},
        publisher={EAI},
        proceedings_a={ICCAP},
        year={2021},
        month={12},
        keywords={conical tank non linear adaptive control gain scheduling controller mrac},
        doi={10.4108/eai.7-12-2021.2314734}
    }
    
  • Kanthalakshmi. S
    Year: 2021
    Experimental Validation of Adaptive Control Techniques for Conical Tank System
    ICCAP
    EAI
    DOI: 10.4108/eai.7-12-2021.2314734
Kanthalakshmi. S1,*
  • 1: PSG College of Technology
*Contact email: sk.ece@psgtech.ac.in

Abstract

A nonlinear system is one whose behavior cannot be described by first-degree equations. The conical tank is an example of a nonlinear system often employed in industry, where maintaining the liquid level is critical. A level that exceeds the tank's maximum capacity may disrupt reaction equilibrium or cause valuable or hazardous substances to leak. If the level is too low, the consecutive processes may have a poor representation. As a result, liquid level control is a critical responsibility in process industries. As a result of its nonlinear behavior and continuallyvarying area of cross section, maintaining the level of liquid in a conical tank turns into a difficult operation. The main goal is to design a control mechanism for a conical tank system that will keep the level constant at the desired value.The conical tank system is first modelled for different height ranges and a conventional proportional controller is accustomed for initial controller implementation and then, two types of adaptive controller namely Gain scheduling controller and Model Reference Adaptive Controller (MRAC) are employed. The system’s output is obtained by implementing the control algorithms and their performances are analyzed. It was observed that MRAC when implemented produced a better response compared to gain scheduling controller.