矿用变速通风机的能源利用优化

V. R. Babu, T. Maity, Somnath Burman
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引用次数: 3

摘要

针对矿井通风机的最大能耗问题,提出了一种基于优化技术的控制系统,提高了矿井通风机的节能效果和运行性能,为矿工提供了健康的工作环境。基于煤矿井下气流和风压的现状,利用粒子群优化算法(PSO)实现变速驱动的反馈调速。它还利用重叠的小时格式来控制能源使用。在MATLAB环境下对系统进行了开发,并对系统的稳态和动态性能进行了测试。
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Optimization of energy use for mine ventilation fan with variable speed drive
This paper presents the issue of maximum energy consumption of mine ventilation fan and proposes an optimization technique based control system that enhances the savings of energy, operating performance providing a healthy atmosphere for the miners. It utilizes particle swarm optimization (PSO) algorithm for the feedback speed control facilitating with variable speed drives (VSD) based on current status of airflow and air pressure in underground coal mines. It also utilizes the overlapping hour format to control energy use. The system is developed in MATLAB environment and the both steady and dynamic behavior of the system are tested successfully.
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