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.
Highlights
Belt conveyors play an important role in continuous bulk material transport in the mining industry, chemical production, power plants, and so on [1,2]
The contributions of this paper are as follows: (1) a new energy model of dual-motor-driven belt conveyors is established by combining the classical energy model and the dynamic model of the dual-motor-driven system; (2) a parameter identification method for dual-motor-driven belt conveyors without speed sensors is proposed based on the extended Kalman filtering algorithm and recursive least square
This paper established an energy model and proposed a parameter identification method for dual-motor-driven belt conveyors without speed sensors, which lays a foundation for the energy optimization of belt conveyors
Summary
Belt conveyors play an important role in continuous bulk material transport in the mining industry, chemical production, power plants, and so on [1,2]. A parameter an energy model of belt conveyors driven by square rigidlywas connected dualHowever, motors was by identification method based on recursive least proposed. This paper will study the problems of energy modeling and parameter identification of dual-motor-driven belt conveyors without speed sensors. The contributions of this paper are as follows: (1) a new energy model of dual-motor-driven belt conveyors is established by combining the classical energy model and the dynamic model of the dual-motor-driven system; (2) a parameter identification method for dual-motor-driven belt conveyors without speed sensors is proposed based on the extended Kalman filtering algorithm and recursive least square. A parameter identification method dual-motor-driven belt conveyors without speed sensors is proposed based on the extended. The rest of this paper is organized as follows: In Section 2, the energy model of belt conveyors
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