Study on the Method of Multi-Rope Hoist Rope Tension Imbalance Fault Monitoring and Diagnosis

Wang, Shao Jin; Yang, Zhao; Du, Feng

doi:10.4028/www.scientific.net/amr.139-141.2591

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…8 As can be noticed, the Blair hoist with multi-rope winding structure could cope with the issues of excessive diameter of steel rope and drum, too many winding devices, and reduced hoisting capacity. 9,10 However, due to the increase of the quantity of drums and steel ropes, there exists the asynchronism of multiple steel ropes considering the unknown disturbances such as steel rope dynamic deformation and winding error during the running process of the hoisting system. This phenomenon results in the sharp tension error of two steel ropes.…”

Section: Introductionmentioning

confidence: 99%

A nonlinear adaptive fuzzy controller with signal transmission delay compensation for steel rope tension active control of mining hoists

Zhu

Shen

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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The double-rope winding hoists have been widely used in the ultra-deep mines. However, there exists tension imbalance issue on two steel rope of the double-rope winding hoist. The passive tension control method is not ideal in both adjust accuracy and response speed. Therefore, a novel hybrid control method is proposed for active control of two steel rope tensions considering the wireless transmission delay of steel rope tension signal, nonlinear uncertainties, and external disturbance. First, a signal transmission delay compensator is designed to obtain the observed feedback signal and other correlated variables. It is worth mentioning that the effectiveness of designed signal transmission delay compensator is verified not only in theory and simulation but also by experiments. Then, a hybrid controller that combines the adaptive backstepping theory and adaptive fuzzy algorithm is designed to obtain the active control output of two steel rope tensions. It is theoretically depicted that the proposed nonlinear adaptive fuzzy controller combined with the signal transmission delay compensator not only achieves good robust performance on model uncertainty but also improves the closed-loop system response rate. Moreover, the proposed controller can compensate external disturbance and suppress chattering caused by ordinary methods based on backstepping technology. The stability of the integrated closed-loop system with the hybrid controller is proved on the basis of Lyapunov theory. In order to demonstrate the feasibility and effectiveness of the proposed nonlinear adaptive fuzzy controller combined with the signal transmission delay compensator, a double-rope winding hoisting simulated test device is set up for experimental investigation. Then, contrast experiments with the traditional proportion–integration, adaptive backstepping controller, and the proposed controller are conducted on the test device. Experimental results verify the superior of the proposed nonlinear adaptive fuzzy controller combined with the signal transmission delay compensator on tension control of two steel ropes for the double-rope winding hoist.

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Section: Introductionmentioning

confidence: 99%

A nonlinear adaptive fuzzy controller with signal transmission delay compensation for steel rope tension active control of mining hoists

Zhu

Shen

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…Yang Li [3] studied the vibration characteristics of wire rope with variable length under excitation at both ends using mathematical model. Wang Shaojin [5] obtained the tension difference between the wire ropes of the multi rope hoisting system under the condition of different radius of liner through a set of new methods. Xu Yaping [6] acquired the tension of two ropes through simulating method.…”

Section: Introductionmentioning

confidence: 99%

Dynamic analysis of multi point winding hoisting system under non synchronous movements of wire ropes in deep well

Wu¹,

Gong²,

He³

2021

J. vibroeng.

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Taking the multi point winding hoisting system with depth of 1000 m, drum radius of 0.4 m, drum radius difference of 0.1 mm as the research background, a model of multi point winding hoisting system under non synchronous movement of wire ropes is established, and the mathematical model is deduced by Lagrange equation. Then the dynamic characteristic of super deep multi point winding hoisting system under non synchronous movements of wire ropes is analyzed. The results show that: the rotational displacement of mass block is 5°, the rotational velocity is 0.07 °/s in the stage of constant speed. The rope length difference reaches 0.07 m, the tension of each wire rope changes 333 N, accounted for about 7 % of the average tension. And with the length difference increasing 35 mm, the force differences increasing 320 N, which indicates that the length difference has great impact on the tension difference of wire ropes. Finally, the mathematical model is verified through experiment.

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“…Blair hoisting systems with multi ropes presented in Figure 2 are utilized for ultra-deep mines in South Africa to cope with the above-mentioned issues with traditional hoisting systems [8]. It can be noticed that the Blair hoisting systems that have multi-rope winding structure can overcome the problems of overwhelmingly large size of wire rope, drum, and winding layers and hoisting capacity decline at the same time [9][10]. However, with the increasing number of wire ropes and drums, considering the characteristics of wire rope dynamic deformations, winding errors, and other unknown disturbance, the hoisting of wire rope is not synchronous, which leads to the sharp increase of wire rope tension error.…”

Section: Introductionmentioning

confidence: 99%

A Robust Nonlinear Controller With Low-Gain-State-Observer for Wire Rope Tension Active Control of Hoisting Systems

Zhu

Cheng³

et al. 2020

IEEE Access

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In this paper, a modified double-rope winding hoisting system (MDWHS) is proposed for ultra-deep mines. Nevertheless, the MDWHS has wire rope tension imbalance issues due to lifting inconsistency of two wire ropes. A combined control algorithm is designed for wire rope tension active control considering the nonlinear uncertainties subjected to the MDWHS, where a low gain state observer (LGSO) and a robust nonlinear adaptive controller are employed via backstepping theory. Firstly, to investigate the wire rope tension active control method, the dynamics model of the MDWHS is established. Then, the LGSO is employed to estimate unmeasured system state variables and to optimize perturbed system state variables. Finally, a robust nonlinear control method is employed to acquire prospective control input. The combined control algorithm can ensure the desired transient and final tracking accuracy, which is essential for tracking control of wire rope tension active adjustment. The stability of the overall closed-loop system with the presented control algorithm can be verified referring to the Lyapunov theory. Experimental results conducted on the established double-rope winding hoisting simulation experimental system demonstrate that the proposed active control method exhibit more advantageous performance on wire rope tension balance control compared with the conventional Proportion Integration (PI) and adaptive backstepping controller (ABC).

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Study on the Method of Multi-Rope Hoist Rope Tension Imbalance Fault Monitoring and Diagnosis

Cited by 7 publications

References 2 publications

A nonlinear adaptive fuzzy controller with signal transmission delay compensation for steel rope tension active control of mining hoists

A nonlinear adaptive fuzzy controller with signal transmission delay compensation for steel rope tension active control of mining hoists

Dynamic analysis of multi point winding hoisting system under non synchronous movements of wire ropes in deep well

A Robust Nonlinear Controller With Low-Gain-State-Observer for Wire Rope Tension Active Control of Hoisting Systems

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