Design of Fractional Order Controllers for Conical Tank Process

Vavilala, Sateesh Kumar; Vinopraba, T.

doi:10.1109/icetietr.2018.8529047

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…The controller gave good servo and disturbance responses. Vavilala and Vinopraba tuned the FOC parameters using particle swarm optimization (PSO) algorithm for a conical tank system level control [16]. A FO-[PI] λ controller is developed for the two input two output (TITO) CTS using the frequency domain specifications [17].…”

Section: Introductionmentioning

confidence: 99%

Analytical design of the fractional order controller and robustness verification

Vavilala

Thirumavalavan

2021

IJRA

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<div data-canvas-width="397.2227827050999">This paper proposes a fractional order controller (FOC) for the level control problem of the coupled tank system, using the desired time domain specifications. The coupled tank system is used in the chemical industries for the storage and mixing of liquids. The FOC is designed analytically using the direct synthesis method. In the direct synthesis method, the Bode's ideal loop transfer function is chosen as the desired transfer function. Bode's loop transfer function has the advantages like robustness to system gain variations, constant phase and very high gain margin. Performance of the proposed controller is compared with the state of the art literature. Simulation results showed that the proposed controller has the least peak overshoot. The robust performance of the proposed controller is also the best. Robust stability of the system with the proposed controller is verified, and the system is found to be robustly stable.</div>

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Section: Introductionmentioning

confidence: 99%

Analytical design of the fractional order controller and robustness verification

Vavilala

Thirumavalavan

2021

IJRA

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Performance Improvement of Conical Tank Process Applying Fractional-Order Control

Jerald¹,

Varghese²,

Chacko³

et al. 2021

Lecture Notes in Electrical Engineering

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Design and Implementation of the FOIMC Using the PSO Algorithm for the Coupled Tank System

Vavilala

Thirumavalavan

Radhakrishnan

et al. 2022

Design and Control Advances in Robotics

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In this work, a fractional order internal model controller (FOIMC) is developed for the level control of a coupled tank system. The parameters of the FOIMC are optimized by the particle swarm optimization (PSO) algorithm. The controller parameters obtained by the PSO algorithm, are compared with the gray wolf optimizer (GWO) and the whale optimization algorithms (WOA), and the PSO algorithm gave better results. The performance of the proposed FOIMC is compared with the state of the art. The experimental results obtained from the laboratory setup of the cylindrical tank system using the proposed FOIMC are also presented. The step responses from the simulation and the experimental results, indicated that the proposed FOIMC has good time domain performance than the state of the art. The proposed controller showed better robustness to a change in the operating point. The novelty of the present work is, for the first time, a comparative study of latest swarm algorithms is done for the tuning of FOIMC parameters.

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Design of Fractional Order Controllers for Conical Tank Process

Cited by 4 publications

References 10 publications

Analytical design of the fractional order controller and robustness verification

Analytical design of the fractional order controller and robustness verification

Performance Improvement of Conical Tank Process Applying Fractional-Order Control

Design and Implementation of the FOIMC Using the PSO Algorithm for the Coupled Tank System

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