Energy Modeling and Parameter Identification of Dual-Motor-Driven Belt Conveyors without Speed Sensors

Chunyu Yang, Jinhao Liu, Heng Li and Linna Zhou
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Chunyu Yang: School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
Jinhao Liu: School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
Heng Li: School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
Linna Zhou: School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China

Energies, 2018, vol. 11, issue 12, 1-17

Abstract: The energy model of belt conveyors plays a key role in the energy efficiency optimization problem of belt conveyors. However, the existing energy models and parameter identification methods are mainly limited to single-motor-driven belt conveyors and require speed sensors. This paper will present an energy model and a parameter identification method for dual-motor-driven belt conveyors whose speed sensors are not available. Firstly, a new energy model of dual-motor-driven belt conveyors is established by combining the traditional energy model with the dynamic model of a dual-motor-driven system. Then, a parameter identification method based on an extended Kalman filtering algorithm and recursive least square approach is proposed. Finally, the feasibility and effectiveness of the method are demonstrated by simulation experiments.

Keywords: belt conveyor; energy model; dual-motor-driven system; parameter identification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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