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Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion
This paper investigates the pre-pressure’s influence on the key performance of a traveling wave ultrasonic motor (TRUM) using simulations and experimental tests. An analytical model accompanied with power dissipation is built, and an electric cylinder is first adopted in regulating the pre-pressure...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181230/ https://www.ncbi.nlm.nih.gov/pubmed/32276414 http://dx.doi.org/10.3390/s20072096 |
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author | Chen, Ning Zheng, Jieji Fan, Dapeng |
author_facet | Chen, Ning Zheng, Jieji Fan, Dapeng |
author_sort | Chen, Ning |
collection | PubMed |
description | This paper investigates the pre-pressure’s influence on the key performance of a traveling wave ultrasonic motor (TRUM) using simulations and experimental tests. An analytical model accompanied with power dissipation is built, and an electric cylinder is first adopted in regulating the pre-pressure rapidly, flexibly and accurately. Both results provide several new features for exploring the function of pre-pressure. It turns out that the proportion of driving zone within the contact region declines as the pre-pressure increases, while a lower power dissipation and slower temperature rise can be achieved when the driving zones and the braking zones are in balance. Moreover, the shrinking speed fluctuations with the increasing pre-pressures are verified by the periodic-varying axial pressure. Finally, stalling torque, maximum efficiency, temperature rise and speed variance are all integrated to form a novel optimization criterion, which achieves a slower temperature rise and lower stationary error between 260 and 320 N. The practical speed control errors demonstrate that the proportion of residual error declines from 2.88% to 0.75% when the pre-pressure is changed from 150 to 300 N, which serves as one of the pieces of evidence of the criterion’s effectiveness. |
format | Online Article Text |
id | pubmed-7181230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71812302020-04-28 Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion Chen, Ning Zheng, Jieji Fan, Dapeng Sensors (Basel) Article This paper investigates the pre-pressure’s influence on the key performance of a traveling wave ultrasonic motor (TRUM) using simulations and experimental tests. An analytical model accompanied with power dissipation is built, and an electric cylinder is first adopted in regulating the pre-pressure rapidly, flexibly and accurately. Both results provide several new features for exploring the function of pre-pressure. It turns out that the proportion of driving zone within the contact region declines as the pre-pressure increases, while a lower power dissipation and slower temperature rise can be achieved when the driving zones and the braking zones are in balance. Moreover, the shrinking speed fluctuations with the increasing pre-pressures are verified by the periodic-varying axial pressure. Finally, stalling torque, maximum efficiency, temperature rise and speed variance are all integrated to form a novel optimization criterion, which achieves a slower temperature rise and lower stationary error between 260 and 320 N. The practical speed control errors demonstrate that the proportion of residual error declines from 2.88% to 0.75% when the pre-pressure is changed from 150 to 300 N, which serves as one of the pieces of evidence of the criterion’s effectiveness. MDPI 2020-04-08 /pmc/articles/PMC7181230/ /pubmed/32276414 http://dx.doi.org/10.3390/s20072096 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Ning Zheng, Jieji Fan, Dapeng Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion |
title | Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion |
title_full | Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion |
title_fullStr | Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion |
title_full_unstemmed | Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion |
title_short | Pre-Pressure Optimization for Ultrasonic Motors Based on Multi-Sensor Fusion |
title_sort | pre-pressure optimization for ultrasonic motors based on multi-sensor fusion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181230/ https://www.ncbi.nlm.nih.gov/pubmed/32276414 http://dx.doi.org/10.3390/s20072096 |
work_keys_str_mv | AT chenning prepressureoptimizationforultrasonicmotorsbasedonmultisensorfusion AT zhengjieji prepressureoptimizationforultrasonicmotorsbasedonmultisensorfusion AT fandapeng prepressureoptimizationforultrasonicmotorsbasedonmultisensorfusion |