An optimal proportional integral derivative tuning for a magnetic levitation system using metamodeling approach

نویسندگان

چکیده

<span>A magnetic levitation system (MLS) is a complex nonlinear that requires an electromagnetic force to levitate object in the air. The field extremely sensitive noise which can cause acceleration on spherical object, leading it move into unbalanced region. This paper presents comparative assessment of controllers for using proportional integral derivative (PID) controller based optimal tuning. analysis was started by deriving mathematical model followed implementation radial basis function neural network (<a name="_Hlk93327650"></a>RBFNN) metamodel. tuning PID has offered better transient responses with improvement overshoot and rise time as compared standard optimization methods. It more robust tolerant gradient descent method. simulation output metamodel approach showed 9.34% 9.84 ms, are than (GD) conventional For verification purpose, Simscape been developed mimic real model. found produced about similar performance what obtained from MATLAB simulation.</span>

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ژورنال

عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science

سال: 2022

ISSN: ['2502-4752', '2502-4760']

DOI: https://doi.org/10.11591/ijeecs.v25.i3.pp1356-1366