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A Novel ANFIS Based SMC with Fractional Order PID Controller

A. Jegatheesh1,*, M. Germin Nisha2, N. Kopperundevi3

1 Department of ECE, Arunachala College of Engineering for Women, Vellichanthai, 629203, Tamil Nadu, India
2 Department of EEE, St Xaviers Catholic College of Engineering, Nagercoil, 290036, Tamil Nadu, India
3 Department of ECE, Swarnandhra College of Engineering and Technology, Narasapur, 534280, Andhra Pradesh, India

* Corresponding Author: A. Jegatheesh. Email:

Intelligent Automation & Soft Computing 2023, 36(1), 745-760.


Interacting The highest storage capacity of a circular tank makes it popular in process industries. Because of the varying surface area of the cross-sections of the tank, this two-tank level system has nonlinear characteristics. Controlling the flow rate of liquid is one of the most difficult challenges in the production process. This proposed effort is critical in preventing time delays and errors by managing the fluid level. Several scholars have explored and explored ways to reduce the problem of nonlinearity, but their techniques have not yielded better results. Different types of controllers with various techniques are implemented by the proposed system. Sliding Mode Controller (SMC) with Fractional Order PID Controller based on Intelligent Adaptive Neuro-Fuzzy Inference System (ANFIS) is a novel technique for liquid level regulation in an interconnected spherical tank system to avoid interferences and achieve better performance in comparison of rise time, settling time, and overshoot decrease. Evaluating the simulated results acquired by the controller yields the efficiency of the proposed system. The simulated results were produced using MATLAB 2018 and the FOMCON toolbox. Finally, the performance of the conventional controller (FOPID, PID-SMC) and proposed ANFIS based SMC-FOPID controllers are compared and analyzed the performance indices.


Cite This Article

A. Jegatheesh, M. Germin Nisha and N. Kopperundevi, "A novel anfis based smc with fractional order pid controller," Intelligent Automation & Soft Computing, vol. 36, no.1, pp. 745–760, 2023.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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