Longwall shearer cutting force estimation

Reid, A. W., McAree, P. R., Meehan, P. A. and Gurgenci, H. (2014) Longwall shearer cutting force estimation. ASME Journal of Dynamic Systems, Measurement, and Control, 136 3: . doi:10.1115/1.4026326

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Author Reid, A. W.
McAree, P. R.
Meehan, P. A.
Gurgenci, H.
Title Longwall shearer cutting force estimation
Journal name ASME Journal of Dynamic Systems, Measurement, and Control   Check publisher's open access policy
ISSN 1528-9028
Publication date 2014-05-01
Year available 2014
Sub-type Article (original research)
DOI 10.1115/1.4026326
Open Access Status File (Author Post-print)
Volume 136
Issue 3
Total pages 9
Place of publication New York, NY, United States
Publisher The American Society of Mechanical Engineers
Language eng
Formatted abstract
Longwall mining is an underground coal mining method that is widely used. A shearer traverses the coal panel to cut coal that falls to a conveyor. Operation of the longwall can benefit from knowledge of the cutting forces at the coal/shearer interface, particularly in detecting pick failures and to determine when the shearer may be cutting outside of the coal seam. It is not possible to reliably measure the cutting forces directly. This paper develops a method to estimate the cutting forces from indirect measurements that are practical to make. The structure of the estimator is an extended Kalman filter with augmented states whose associated dynamics encode the character of the cutting forces. The methodology is demonstrated using a simulation of a longwall shearer and the results suggest this is a viable approach for estimating the cutting forces. The contributions of the paper are a formulation of the problem that includes: the development of a dynamic model of the longwall shearer that is suitable for forcing input estimation, the identification of practicable measurements that could be made for implementation and, by numerical simulation, verification of the efficacy of the approach. Inter alia, the paper illustrates the importance of considering the internal model principle of control theory when designing an augmented-state Kalman filter for input estimation.
Keyword Longwall mining
Cutting forces
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article ID: 031008

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2015 Collection
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
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Created: Wed, 22 Oct 2014, 21:11:26 EST by Professor Ross Mcaree on behalf of School of Mechanical and Mining Engineering