Microprocessor control of devices systems of pneumatic container delivery for the analysis of samples of concentrating and metallurgical production

2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) Pub Date : 2016-05-19 DOI:10.1109/ICIEAM.2016.7911552

V. Khmara, G. Y. Lobotskiy, A. Kabyshev

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引用次数: 1

Abstract

It is well known that automatic control of any process implies continuous or infrequent monitoring process parameters. At the ore dressing mills and metallurgical plants, such parameters may include composition of feedstock, fluxes, reagents, intermediate products, final tailings and wastewater. Usually, this information is supplied by the automated analytical monitoring system (AAMS), in which the main component is the automated sub-system for sampling and representative test sample transportation. This paper is dedicated to current issues regarding optimization of the microprocessor-based control system by the use of robotic mechanisms and devices in the pneumatic test sample capsule transportation facility and computer-aided modelling. The article describes a functional scheme of the pneumatic conveying system. Here, control signals are optimized, the algorithms and schemes of universal microprocessor of controlled system are outlined.

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浓缩和冶金生产样品分析用气动容器输送装置系统的微处理器控制

众所周知，任何过程的自动控制都意味着对过程参数的连续或不频繁的监测。在选矿厂和冶金厂，这些参数可能包括原料、助熔剂、试剂、中间产品、最终尾矿和废水的组成。通常，这些信息是由自动分析监测系统(AAMS)提供的，该系统的主要组成部分是采样和代表性测试样品运输的自动化子系统。本文致力于通过在气动测试样品胶囊运输设施中使用机器人机构和设备以及计算机辅助建模来优化基于微处理器的控制系统。本文介绍了气力输送系统的功能方案。本文对控制信号进行了优化，概述了被控系统通用微处理器的算法和方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

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