Model reduction using Harris hawk algorithm and moment matching

Physical machine systems are represented in the form of differential equations. These differential equations may be of the higher order and difficult to analyses. Therefore, it is necessary to convert the higher-order to lower order which replicates approximately similar properties of the higher-ord...

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Main Authors: Aswant Kumar Sharma, Dhanesh Kumar Sambariya
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-11-01
Series:Archives of Electrical Engineering
Subjects:
Online Access:https://journals.pan.pl/Content/121590/PDF/art15.pdf
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author Aswant Kumar Sharma
Dhanesh Kumar Sambariya
author_facet Aswant Kumar Sharma
Dhanesh Kumar Sambariya
author_sort Aswant Kumar Sharma
collection DOAJ
description Physical machine systems are represented in the form of differential equations. These differential equations may be of the higher order and difficult to analyses. Therefore, it is necessary to convert the higher-order to lower order which replicates approximately similar properties of the higher-order system (HOS). This article presents a novel approach to reducing the higher-order model. The approach is based on the hunting demeanor of the hawk and escaping of the prey. The proposed method unifies the Harris hawk algorithm and the moment matching technique. The method is applied on single input single output (SISO), multi-input multi-output (MIMO) linear time–invariant (LTI) systems. The proposed method is justified by examining the result. The results are compared using the step response characteristics and response error indices. The response indices are integral square error, integral absolute error, integral time absolute error. The step response characteristics such as rise time, peak, peak time, settling time of the proposed reduced order follows 97%–100% of the original system characteristics.
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spelling doaj.art-0953bd37d7424cdc9fb2128d40f26d6c2022-12-22T00:53:43ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062021-11-01vol. 70No 4959978https://doi.org/10.24425/aee.2021.138272Model reduction using Harris hawk algorithm and moment matchingAswant Kumar Sharma0Dhanesh Kumar Sambariya1Department of Electrical Engineering, Rajasthan Technical University, Rawath Bhata Road 324010, Kota, IndiaDepartment of Electrical Engineering, Rajasthan Technical University, Rawath Bhata Road 324010, Kota, IndiaPhysical machine systems are represented in the form of differential equations. These differential equations may be of the higher order and difficult to analyses. Therefore, it is necessary to convert the higher-order to lower order which replicates approximately similar properties of the higher-order system (HOS). This article presents a novel approach to reducing the higher-order model. The approach is based on the hunting demeanor of the hawk and escaping of the prey. The proposed method unifies the Harris hawk algorithm and the moment matching technique. The method is applied on single input single output (SISO), multi-input multi-output (MIMO) linear time–invariant (LTI) systems. The proposed method is justified by examining the result. The results are compared using the step response characteristics and response error indices. The response indices are integral square error, integral absolute error, integral time absolute error. The step response characteristics such as rise time, peak, peak time, settling time of the proposed reduced order follows 97%–100% of the original system characteristics.https://journals.pan.pl/Content/121590/PDF/art15.pdfharris hawk optimizationisemimomoment matchingmodel order reductionsiso
spellingShingle Aswant Kumar Sharma
Dhanesh Kumar Sambariya
Model reduction using Harris hawk algorithm and moment matching
Archives of Electrical Engineering
harris hawk optimization
ise
mimo
moment matching
model order reduction
siso
title Model reduction using Harris hawk algorithm and moment matching
title_full Model reduction using Harris hawk algorithm and moment matching
title_fullStr Model reduction using Harris hawk algorithm and moment matching
title_full_unstemmed Model reduction using Harris hawk algorithm and moment matching
title_short Model reduction using Harris hawk algorithm and moment matching
title_sort model reduction using harris hawk algorithm and moment matching
topic harris hawk optimization
ise
mimo
moment matching
model order reduction
siso
url https://journals.pan.pl/Content/121590/PDF/art15.pdf
work_keys_str_mv AT aswantkumarsharma modelreductionusingharrishawkalgorithmandmomentmatching
AT dhaneshkumarsambariya modelreductionusingharrishawkalgorithmandmomentmatching