Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation
This paper presents the results of simulation research of an off-line-trained, feedforward neural-network-based state estimator. The investigated system is the mechanical part of an electrical drive characterised by elastic coupling with a working machine, modelled as a dual-mass system. The aim of...
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Format: | Article |
Language: | English |
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Sciendo
2018-12-01
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Series: | Power Electronics and Drives |
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Online Access: | http://www.degruyter.com/view/j/pead.2018.3.issue-1/pead-2018-0017/pead-2018-0017.xml?format=INT |
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author | Łuczak Dominik Wójcik Adrian |
author_facet | Łuczak Dominik Wójcik Adrian |
author_sort | Łuczak Dominik |
collection | DOAJ |
description | This paper presents the results of simulation research of an off-line-trained, feedforward neural-network-based state estimator. The investigated system is the mechanical part of an electrical drive characterised by elastic coupling with a working machine, modelled as a dual-mass system. The aim of the research was to find a set of neural network structures giving useful and repeatable results of the estimation. The mechanical resonance frequency of the system has been adopted at the level of 9.3-10.3 Hz. The selected state variables of the mechanical system are load, speed and stiffness torque of the shaft. |
first_indexed | 2024-12-10T16:59:53Z |
format | Article |
id | doaj.art-5060527fadbb497fb12f28f5ab6d6d00 |
institution | Directory Open Access Journal |
issn | 2451-0262 2543-4292 |
language | English |
last_indexed | 2024-12-10T16:59:53Z |
publishDate | 2018-12-01 |
publisher | Sciendo |
record_format | Article |
series | Power Electronics and Drives |
spelling | doaj.art-5060527fadbb497fb12f28f5ab6d6d002022-12-22T01:40:36ZengSciendoPower Electronics and Drives2451-02622543-42922018-12-013120521610.2478/pead-2018-0017pead-2018-0017Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State EstimationŁuczak Dominik0Wójcik Adrian1Poznan University of Technology, Institute of Control, Robotics and Information Engineering, M. Skłodowska-Curie SquarePoznan, PolandPoznan University of Technology, Institute of Control, Robotics and Information Engineering, M. Skłodowska-Curie SquarePoznan, PolandThis paper presents the results of simulation research of an off-line-trained, feedforward neural-network-based state estimator. The investigated system is the mechanical part of an electrical drive characterised by elastic coupling with a working machine, modelled as a dual-mass system. The aim of the research was to find a set of neural network structures giving useful and repeatable results of the estimation. The mechanical resonance frequency of the system has been adopted at the level of 9.3-10.3 Hz. The selected state variables of the mechanical system are load, speed and stiffness torque of the shaft.http://www.degruyter.com/view/j/pead.2018.3.issue-1/pead-2018-0017/pead-2018-0017.xml?format=INTtwo-mass driveneural networksimulation studiesnon-linear state estimation |
spellingShingle | Łuczak Dominik Wójcik Adrian Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation Power Electronics and Drives two-mass drive neural network simulation studies non-linear state estimation |
title | Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation |
title_full | Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation |
title_fullStr | Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation |
title_full_unstemmed | Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation |
title_short | Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation |
title_sort | neural state estimator for complex mechanical part of electrical drive neural network size and performance of state estimation |
topic | two-mass drive neural network simulation studies non-linear state estimation |
url | http://www.degruyter.com/view/j/pead.2018.3.issue-1/pead-2018-0017/pead-2018-0017.xml?format=INT |
work_keys_str_mv | AT łuczakdominik neuralstateestimatorforcomplexmechanicalpartofelectricaldriveneuralnetworksizeandperformanceofstateestimation AT wojcikadrian neuralstateestimatorforcomplexmechanicalpartofelectricaldriveneuralnetworksizeandperformanceofstateestimation |