Study on Load Parameters Estimation during AMT Startup
Joint Authors
Li, Yunxia
Lu, Yufeng
Sun, Huilai
Yan, Peng
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Li, Yunxia& Lu, Yufeng& Sun, Huilai& Yan, Peng. 2018. Study on Load Parameters Estimation during AMT Startup. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1183071
Modern Language Association (MLA)
Li, Yunxia…[et al.]. Study on Load Parameters Estimation during AMT Startup. Journal of Control Science and Engineering No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1183071
American Medical Association (AMA)
Li, Yunxia& Lu, Yufeng& Sun, Huilai& Yan, Peng. Study on Load Parameters Estimation during AMT Startup. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1183071
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183071