Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation Article Swipe

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Byamakesh Nayak , Sangeeta Sahu , Tanmoy Roy Choudhury ·

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.11591/ijeecs.v9.i3.pp696-702

This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.

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Robustness (evolution) Transfer function Control theory (sociology) DC motor Minification Experimental data Function (biology) Computer science Estimation theory Algorithm Engineering Mathematics Mathematical optimization Artificial intelligence Statistics Biology Gene Electrical engineering Evolutionary biology Chemistry Biochemistry Control (management)

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Type: article
Language: en
Landing Page: https://doi.org/10.11591/ijeecs.v9.i3.pp696-702
PDF: https://ijeecs.iaescore.com/index.php/IJEECS/article/download/9634/8046
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Cited By: 8
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DOI: https://doi.org/10.11591/ijeecs.v9.i3.pp696-702

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Title: Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation

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Publication year: 2018

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Publication date: 2018-03-01

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Authors: Byamakesh Nayak, Sangeeta Sahu, Tanmoy Roy Choudhury

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Landing page: https://doi.org/10.11591/ijeecs.v9.i3.pp696-702

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Concepts: Robustness (evolution), Transfer function, Control theory (sociology), DC motor, Minification, Experimental data, Function (biology), Computer science, Estimation theory, Algorithm, Engineering, Mathematics, Mathematical optimization, Artificial intelligence, Statistics, Biology, Gene, Electrical engineering, Evolutionary biology, Chemistry, Biochemistry, Control (management)

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Cited by: 8

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Citations by year (recent): 2024: 2, 2021: 3, 2020: 1, 2019: 2

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