Research on Straightness Perception Compensation Model of FBG Scraper Conveyor Based on Rotation Error Angle

Yang, Song; Fang, Xiaohui; Wu, Gang; Chen, Ningning; Liang, Minfu; Xu, Ziyue; Zhang, Fan

doi:10.3390/s22176399

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…The predominant propulsion system for scraper conveyors employs dual motors, encompassing a head motor and a tail motor [1]. The swift expansion of large-scale mining endeavors has ushered in a notable increase in the length of fully mechanized working fronts and coal production rates.…”

Section: Introductionmentioning

confidence: 99%

Research on Synchronous Control System of Multi-Motor Driven Scraper Conveyor

Bai,

Zhang,

Pei

2024

Advances in Transdisciplinary Engineering

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In the domain of conventional dual or triple-drive scraper conveyors, the bedrock of coal transportation lies in the utilization of motor-driven chains located at both the head and tail ends. This operational framework frequently necessitates recurrent, high-load initiations. Consequently, these scraper conveyors are prone to a spectrum of challenges, encompassing power inadequacies, vexing initiation procedures, motor overheating incidents, and chain integrity breaches. To address these formidable impediments, this article introduces an innovative paradigm: the uniformly distributed multi-motor-driven scraper conveyor. Within this context, a comprehensive array of control models is conceived, featuring both a direct-drive control model employing permanent magnet motors and a synchronous control model for the orchestration of multiple motors. Rigorous theoretical analyses and simulations, executed using the MATLAB/Simulink platform, illuminate a compelling revelation: when matched for equivalent transport capacities, the power prerequisites of the uniformly distributed three-motor-driven scraper conveyor experience a marked reduction. Extending this discourse, the article proceeds to delineate multi-motor control paradigms, spanning the domains of parallel control, master-slave control, and deviation-coupled control. Subsequently, a meticulous comparative analysis unfolds, elucidating the respective merits and demerits of these three synchronous control methodologies, all rooted in the crucible of simulation-derived results.

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Section: Introductionmentioning

confidence: 99%

Research on Synchronous Control System of Multi-Motor Driven Scraper Conveyor

Bai,

Zhang,

Pei

2024

Advances in Transdisciplinary Engineering

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“…Hao Shangqing et al [ 28 ] constructed a geometric measurement model for the scraper conveyor based on the position of the shearer. Song Yang et al [ 29 ] constructed a precision compensation model for the rotational error angle to improve the accuracy of fiber Bragg grating (FBG) curvature sensors for scraper conveyors. Xie Jiacheng et al [ 30 ] used a collaborative analysis solution method to calculate the posture of a curved scraper conveyor.…”

Section: Introductionmentioning

confidence: 99%

Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces

Feng,

Fang,

Chen

et al. 2023

Sensors

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The foundation of intelligent collaborative control of a shearer, scraper conveyor, and hydraulic support (three-machines) is to achieve the precise perception of the status of the three-machines and the full integration of information between the equipment. In order to solve the problems of information isolation and non-flow, independence between equipment, and weak cooperation of three-machines due to an insufficient fusion of perception data, a fusion method of the equipment’s state perception system on the intelligent working surface was proposed. Firstly, an intelligent perception system for the state of the three-machines in the working face was established based on fiber optic sensing technology and inertial navigation technology. Then, the datum coordinate system is created on the working surface to uniformly describe the status of the three-machines and the spatial position relationship between the three-machines is established using a scraper conveyor as a bridge so that the three-machines become a mutually restricted and collaborative equipment system. Finally, an indoor test was carried out to verify the relational model of the spatial position of the three-machines. The results indicate that the intelligent working face three-machines perception system based on fiber optic sensing technology and inertial navigation technology can achieve the fusion of monitoring data and unified expression of equipment status. The research results provide an important reference for building an intelligent perception, intelligent decision-making, and automatic execution system for coal mines.

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“…Based on the obtained discrete curvature, the spatial positions of the chutes of a scraper were determined through an interpolation algorithm and a curve reconstruction algorithm, and the three-dimensional shape perception of the scraper was realized. In order to solve the rotation problem of the sensor after long-term operation, Song et al [27] proposed a precision compensation model based on the rotation error angle, and the relative error of the radius of the curvature obtained from the inversion of each discrete point was less than ±6%. However, these studies only used linear interpolation and slope recursion to process the data in the measured area and did not predict the unmeasured area or make it continuous.…”

Section: Introductionmentioning

confidence: 99%

Research on Three-Dimensional Shape Curve Reconstruction Technology for a Scraper Conveyor on an Intelligent Working Face

Qiao,

Fang,

Chen

et al. 2023

Sensors

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“Three straight and two flat” is the inevitable demand when realizing the intelligent mining of a fully mechanized mining face. To address the crucial technical issue of lacking accurate perception of the shape of the scraper conveyor during intelligent coal mining, a three-dimensional curvature sensor involving fiber Bragg grating (FBG) is used as a perceptive tool to conduct curve reconstruction research based on different local motion frames and to reconstruct the shape of the scraper conveyor. Firstly, the formation process of the ‘S’-shaped bending section of the scraper conveyor during the pushing process is determined. Based on the FBG sensing principle, a mathematical model between the variation in the central wavelength and the strain and curvature is established, and the cubic B-spline interpolation method is employed to continuously process the obtained discrete curvature. Secondly, based on differential geometry, a spatial curve reconstruction algorithm based on the Frenet moving frame is derived, and the shape curve prediction interpolation model is built based on a gated recurrent unit (GRU) model, which reduces the impact of the decrease in curve reconstruction accuracy caused by damage to some grating measuring points. Finally, an experimental platform was designed and built, and sensors with curvature radii of 6 m, 7 m, and 8 m were tested. The experimental results showed that the reconstructed curve was essentially consistent with the actual shape, and the absolute error at the end was about 2 mm. The feasibility of this reconstruction algorithm in engineering has been proven, and this is of great significance in achieving shape curve perception and straightness control for scraper conveyors.

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Research on Straightness Perception Compensation Model of FBG Scraper Conveyor Based on Rotation Error Angle

Cited by 8 publications

References 17 publications

Research on Synchronous Control System of Multi-Motor Driven Scraper Conveyor

Research on Synchronous Control System of Multi-Motor Driven Scraper Conveyor

Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces

Research on Three-Dimensional Shape Curve Reconstruction Technology for a Scraper Conveyor on an Intelligent Working Face

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