Title :
Dynamic modeling, parameter identification, and payload estimation of mining cable shovels
Author :
Rasuli, Abdolrasul ; Tafazoli, Shahram ; Dunford, William G.
Author_Institution :
Univ. of British Columbia, Vancouver, BC, Canada
Abstract :
This paper presents the application of the lease-squares estimation technique in identification of the cable shovel parameters and monitoring its payload. A data acquisition system was installed on a P&H2100 cable shovel and logged the cable shovel data for several loading cycles. The payload was dynamically estimated using the simplified dynamic cable shovel model we developed. The accuracy and repeatability of the algorithm has been verified based upon the cable shovel data logged during its normal operation at the mine.
Keywords :
cables (mechanical); data loggers; estimation theory; least squares approximations; mining; parameter estimation; P&H2100 cable shovel; cable shovel data logging; data acquisition system; lease-square estimation technique; mining cable shovel; parameter identification; payload estimation; DC motors; Least squares methods; Mathematical model; Payloads; Power cables; Cable shovel; Dipper; Dynamic modeling; Least squares estimation;
Conference_Titel :
Industry Applications Society Annual Meeting, 2014 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/IAS.2014.6978451