Optimal torque distribution of distributed driving AGV under the condition of centroid change

Abstract The torque distribution is researched under the condition of the centroid position of distributed drive automatic guided vehicle (AGV) with load platform and is uncertain due to the unknown movable load. The whole vehicle model under centroid variation, the efficiency model of the hub motor...

Full description

Bibliographic Details
Main Authors: Wei Liu, Ping Liu, Yue Yu, Qingjie Zhang, Yidong Wan, Miufang Wang
Format: Article
Language:English
Published: Nature Portfolio 2021-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-01038-3
_version_ 1819199806582554624
author Wei Liu
Ping Liu
Yue Yu
Qingjie Zhang
Yidong Wan
Miufang Wang
author_facet Wei Liu
Ping Liu
Yue Yu
Qingjie Zhang
Yidong Wan
Miufang Wang
author_sort Wei Liu
collection DOAJ
description Abstract The torque distribution is researched under the condition of the centroid position of distributed drive automatic guided vehicle (AGV) with load platform and is uncertain due to the unknown movable load. The whole vehicle model under centroid variation, the efficiency model of the hub motor and the torque distribution control strategy based on a PID neural network are established. A hierarchical controller is designed to accurately ensure the economy and stability of the vehicle. Simulations of the proposed control strategy are conducted, the results show that the total power and lateral deviation distance of the driving wheels are reduced by 17.63% and 61.54% under low load conditions and 15.54% and 61.39% under high load conditions, respectively, compared with those of the driving wheels under the average torque distribution, and the goal of close slip rates of the driving wheels is achieved. A system prototype is developed and tested, and the experimental results agree with the simulation within error permissibility. The margin of error is less than 5.8%, the results demonstrate that the proposed control strategy is effective. This research can provide a theoretical and experimental basis for the torque optimization distribution of distributed drive AGVs under centroid variation conditions.
first_indexed 2024-12-23T03:22:11Z
format Article
id doaj.art-970541a532f544b3a18765c6112e431f
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-12-23T03:22:11Z
publishDate 2021-11-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-970541a532f544b3a18765c6112e431f2022-12-21T18:01:59ZengNature PortfolioScientific Reports2045-23222021-11-0111111110.1038/s41598-021-01038-3Optimal torque distribution of distributed driving AGV under the condition of centroid changeWei Liu0Ping Liu1Yue Yu2Qingjie Zhang3Yidong Wan4Miufang Wang5School of Automotive Engineering, Yancheng Institute of TechnologySchool of Automotive Engineering, Yancheng Institute of TechnologySchool of Automotive Engineering, Yancheng Institute of TechnologySchool of Automotive Engineering, Yancheng Institute of TechnologySchool of Automotive Engineering, Yancheng Institute of TechnologySchool of Automotive Engineering, Yancheng Institute of TechnologyAbstract The torque distribution is researched under the condition of the centroid position of distributed drive automatic guided vehicle (AGV) with load platform and is uncertain due to the unknown movable load. The whole vehicle model under centroid variation, the efficiency model of the hub motor and the torque distribution control strategy based on a PID neural network are established. A hierarchical controller is designed to accurately ensure the economy and stability of the vehicle. Simulations of the proposed control strategy are conducted, the results show that the total power and lateral deviation distance of the driving wheels are reduced by 17.63% and 61.54% under low load conditions and 15.54% and 61.39% under high load conditions, respectively, compared with those of the driving wheels under the average torque distribution, and the goal of close slip rates of the driving wheels is achieved. A system prototype is developed and tested, and the experimental results agree with the simulation within error permissibility. The margin of error is less than 5.8%, the results demonstrate that the proposed control strategy is effective. This research can provide a theoretical and experimental basis for the torque optimization distribution of distributed drive AGVs under centroid variation conditions.https://doi.org/10.1038/s41598-021-01038-3
spellingShingle Wei Liu
Ping Liu
Yue Yu
Qingjie Zhang
Yidong Wan
Miufang Wang
Optimal torque distribution of distributed driving AGV under the condition of centroid change
Scientific Reports
title Optimal torque distribution of distributed driving AGV under the condition of centroid change
title_full Optimal torque distribution of distributed driving AGV under the condition of centroid change
title_fullStr Optimal torque distribution of distributed driving AGV under the condition of centroid change
title_full_unstemmed Optimal torque distribution of distributed driving AGV under the condition of centroid change
title_short Optimal torque distribution of distributed driving AGV under the condition of centroid change
title_sort optimal torque distribution of distributed driving agv under the condition of centroid change
url https://doi.org/10.1038/s41598-021-01038-3
work_keys_str_mv AT weiliu optimaltorquedistributionofdistributeddrivingagvundertheconditionofcentroidchange
AT pingliu optimaltorquedistributionofdistributeddrivingagvundertheconditionofcentroidchange
AT yueyu optimaltorquedistributionofdistributeddrivingagvundertheconditionofcentroidchange
AT qingjiezhang optimaltorquedistributionofdistributeddrivingagvundertheconditionofcentroidchange
AT yidongwan optimaltorquedistributionofdistributeddrivingagvundertheconditionofcentroidchange
AT miufangwang optimaltorquedistributionofdistributeddrivingagvundertheconditionofcentroidchange