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Dynamical flow rate and pressure artificial neural network estimators for a centrifugal fan driven by an induction motor drive
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Turkeri, Cebrail and Kiselychnyk, Oleh (2022) Dynamical flow rate and pressure artificial neural network estimators for a centrifugal fan driven by an induction motor drive. In: 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON), kharagpur, India, 09-11 Dec 2022. Published in: 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON) ISBN 9798350398069. doi:10.1109/oncon56984.2022.10126880
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Official URL: https://doi.org/10.1109/oncon56984.2022.10126880
Abstract
To provide significant energy saving in the air and water supply systems, centrifugal fans/pumps are driven by variable frequency induction motor drives. To reduce the cost of the required energy saving close loop control, the necessary expensive flow rate or pressure (head) sensors can be replaced by estimators based on the monitored variables of the drives and imbedded into the drives' software. Available estimation techniques are based on the steady state experimental or data sheet fans'/pumps' curves which is justified by quasi-steady modelling of the fans and pumps. The present paper identifies the problem of this approach during transients. It develops quasi-steady and dynamical estimators for the flow rate and pressure of a centrifugal fan with induction motor drive based on the neural networks trained based on the steady state and transient experimental data. It uses the referred frequency of the stator voltages, the measured rms stator current and the estimated input active power of the motor as inputs of the estimators avoiding the velocity estimation as in the available approaches. It demonstrates better dynamical performance of the dynamical estimators with one sample time delayed feedback as the additional input which is justified by dynamical modelling of the fans/pumps. The details of a specifically designed test rig based on the Nicotra-Gebhardt industrial centrifugal fan equipped with a three-phase induction motor and estimators' design procedure are explained.
Item Type: | Conference Item (Paper) | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Journal or Publication Title: | 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON) | ||||||
Publisher: | IEEE | ||||||
ISBN: | 9798350398069 | ||||||
Official Date: | 9 December 2022 | ||||||
Dates: |
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DOI: | 10.1109/oncon56984.2022.10126880 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2022 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Description: | eCF Paper Id: ONCON22-000224 |
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Date of first compliant deposit: | 14 August 2023 | ||||||
Date of first compliant Open Access: | 14 August 2023 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | kharagpur, India | ||||||
Date(s) of Event: | 09-11 Dec 2022 |
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