利用随机输入信号对球磨机磨矿回路中矿物粒度演化进行建模

Juan Tisza-Contreras, H. Nieto-Chaupis
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引用次数: 0

摘要

复杂的系统,如球磨机研磨电路,由于固有的几个I/O变量的存在,从而产生了它们之间的互联性,传统上被许多研究人员认为是MIMO系统。众所周知,系统中涉及的变量彼此之间是强相关的,这一事实反映在被操纵变量集对输出变量的影响上。本文通过分析粒度变量在选矿过程中受到干扰时的行为,关注了粒度变量的演化。因此,本文提供了一种方法来研究实现随机性质的函数对球磨机磨削电路动力学中通常发生的变量间相互作用的影响。在这篇简短的报告中,通过强调那些假设共存的随机函数对传统使用的随机函数的影响,揭示了一些粒径演变的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of the mineral particle-size evolution through stochastic input signals in a balls mill grinding circuit
Complex systems such as the ball mill grinding circuit have been traditionally perceived by many researchers as MIMO systems due to the inherent existence of several I/O variables thereby producing interConnectivity among them. As it is well-known, variables involved in the system are strongly correlated each other, fact that is reflected at the influence of the set of manipulated variables on the output ones. This paper has paid attention on the evolution of the particle-size variable by analyzing its behavior when it is subject to disturbances during the mineral processing. Thus, a methodology in order to search the effect of implementing functions of random nature whose existence might be attained to the interaction among variables as normally occurs in a balls mill grinding circuit dynamics, is provided. In this short report, some simulations of the particle-size evolution are exposed by emphasizing the impact of those random functions which is supposed coexists together to the ones which traditionally are used.
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