基于预览信息的矿山充填浆液浓度改进滑模控制

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS

Systems Science & Control Engineering Pub Date : 2022-09-20 DOI:10.1080/21642583.2022.2123061

Weiqiang Tang, Haiyan Gao, Tianpeng Xu

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引用次数: 0

摘要

摘要降低矿浆浓度的波动是提高矿山充填质量的关键。本研究旨在开发一种新的滑模控制策略，以提高浆料浓度的准确性。采用系统响应方法，首次建立了浆料制备过程的数学模型。其次，通过构建增强系统将预览信息集成到模型中。然后，利用改进的指数趋近律设计了滑模控制器。此外，对系统的不确定性进行了估计和补偿。结果表明，所设计的控制系统具有良好的动态性能、较高的精度和较强的鲁棒性。初步解决了矿浆浓度波动范围大的问题。最后，通过数值和实验结果验证了所提出的控制策略的有效性。

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Improved sliding mode control of mine filling slurry concentration based on preview information

ABSTRACT Reducing the fluctuation of slurry concentration is the key to improve the quality of mine filling. This study aims to develop a novel sliding mode control strategy to improve the accuracy of slurry concentration. A mathematical model of a slurry preparation process is firstly established by using the system response method. Secondly, the preview information is integrated into the model by constructing an augmented system. Then, a sliding mode controller is designed by using an improved exponential reaching law. Besides, the uncertainty of the system is estimated and compensated. The results show that the designed control system has excellent dynamic performance, high accuracy and strong robustness. The problem of the large fluctuation range of the slurry con-centration has been preliminarily solved. Finally, the effectiveness of the developed control strategy is verified by the numerical and experimental results.

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来源期刊

Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-

CiteScore

9.50

自引率

2.40%

发文量

审稿时长

29 weeks

期刊介绍： Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory