Study on Load Parameters Estimation during AMT Startup
The identification problem of the load parameters is the basis of researching the clutch control strategy and the shift schedule for heavy-duty AMT (Automated Mechanical Transmission). AMT is proposed as the soft starter for the belt conveyor which expands AMT application areas. In order to accompli...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/7391968 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832554921121021952 |
---|---|
author | Yunxia Li Yufeng Lu Huilai Sun Peng Yan |
author_facet | Yunxia Li Yufeng Lu Huilai Sun Peng Yan |
author_sort | Yunxia Li |
collection | DOAJ |
description | The identification problem of the load parameters is the basis of researching the clutch control strategy and the shift schedule for heavy-duty AMT (Automated Mechanical Transmission). AMT is proposed as the soft starter for the belt conveyor which expands AMT application areas. In order to accomplish the goal of AMT as the soft starter, the load parameters estimation methods including the load resistance torque and the load inertia are firstly studied to accommodate the actual control for AMT startup as the soft starter for belt conveyor. In the paper, the estimation models of the load resistance torque and the load inertia are established during AMT startup for belt conveyor. On the basis of the recursion least squares method, the on-line estimations for the load parameters are recognized according to the test data during AMT startup. The estimation results of these two parameters prove that the load parameters estimation models and the estimation methods during AMT startup are valid. |
format | Article |
id | doaj-art-bcc6f02415ce44a5a32ff66239be08b6 |
institution | Kabale University |
issn | 1687-5249 1687-5257 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Control Science and Engineering |
spelling | doaj-art-bcc6f02415ce44a5a32ff66239be08b62025-02-03T05:50:07ZengWileyJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/73919687391968Study on Load Parameters Estimation during AMT StartupYunxia Li0Yufeng Lu1Huilai Sun2Peng Yan3School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaSchool of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaSchool of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaSchool of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaThe identification problem of the load parameters is the basis of researching the clutch control strategy and the shift schedule for heavy-duty AMT (Automated Mechanical Transmission). AMT is proposed as the soft starter for the belt conveyor which expands AMT application areas. In order to accomplish the goal of AMT as the soft starter, the load parameters estimation methods including the load resistance torque and the load inertia are firstly studied to accommodate the actual control for AMT startup as the soft starter for belt conveyor. In the paper, the estimation models of the load resistance torque and the load inertia are established during AMT startup for belt conveyor. On the basis of the recursion least squares method, the on-line estimations for the load parameters are recognized according to the test data during AMT startup. The estimation results of these two parameters prove that the load parameters estimation models and the estimation methods during AMT startup are valid.http://dx.doi.org/10.1155/2018/7391968 |
spellingShingle | Yunxia Li Yufeng Lu Huilai Sun Peng Yan Study on Load Parameters Estimation during AMT Startup Journal of Control Science and Engineering |
title | Study on Load Parameters Estimation during AMT Startup |
title_full | Study on Load Parameters Estimation during AMT Startup |
title_fullStr | Study on Load Parameters Estimation during AMT Startup |
title_full_unstemmed | Study on Load Parameters Estimation during AMT Startup |
title_short | Study on Load Parameters Estimation during AMT Startup |
title_sort | study on load parameters estimation during amt startup |
url | http://dx.doi.org/10.1155/2018/7391968 |
work_keys_str_mv | AT yunxiali studyonloadparametersestimationduringamtstartup AT yufenglu studyonloadparametersestimationduringamtstartup AT huilaisun studyonloadparametersestimationduringamtstartup AT pengyan studyonloadparametersestimationduringamtstartup |