基于粒子群优化的跳汰机风阀优化控制技术研究与设计

发布时间：2018-06-15 02:34

本文选题：风阀 + 跳汰机　；参考：《江西理工大学》2015年硕士论文

【摘要】：近年来,基于重力选矿的飞速发展的大前提下,跳汰选矿也得到较大的发展,并且在重力选矿的地位也逐渐得到重视。在过去根据操作人员的经验来确定所出现问题的解决方式,每个操作员的经验是有不同程度的差异,导致了最后跳汰分选的效率也有着差异。本文以跳汰机作为研究对象,根据近年国内外的研究成果,对影响跳汰分选效果的因素和操作变量进行分析研究,设计一种基于模糊控制技术的跳汰机自动控制系统对跳汰机的风阀参数进行实时在线监测和调整,主要研究工作如下:1.分析跳汰机的操作变量,给出系统控制要求。通过对跳汰机床层分层研究,来确定具有影响跳汰床层分选的因素,比如进出风量、水量的大小、跳汰机的结构、跳汰机的频率大小等等;采用超声波传感器和比重浮标的结合方式来进行床层的高度和跳汰室水位高度检测。2.确定模糊控制器研究方案,采用粒子群算法的寻优功能对控制器参数(隶属度函数等)进行优化处理,模糊控制器的输入选择为跳汰机风阀松散度偏差e和松散度偏差变化率ec,把多年来研究现场经历经过汇总来编写作为模糊控制器中的模糊控制规则,利用模糊控制器输出来对风阀进行调节进行跳汰机风阀周期调整的实现,最终凭借固态继电器的输出部分对电磁风阀进行控制。3.对跳汰机风阀模糊控制硬件部分通过分析与设计,选取西门子S7-1200系列PLC,通过S7-1200的编程软件STEP 7 basic10.5,将跳汰机风阀控制系统硬件进行组态,并且进行PLC程序编程,包括床层数据采集过程、松散度计算过程、模糊控制器输出过程等。4.通过S7-1200与HMI通过以太网进行通讯连接,实现跳汰机风阀模糊控制的系统的实时监控。通过实验室的测试与调试工作,试验表明此系统运用于工业现场的可行性。
[Abstract]:In recent years, on the premise of the rapid development of gravity beneficiation, jigging ore dressing has also been developed greatly, and the status of gravity concentrating has been gradually paid attention to. In the past, in the past, according to the experience of the operators to determine the solution of the problems, the experience of each operator has different degrees of difference, resulting in the final jig. The efficiency of separation is also different. In this paper, the jigger as the research object, according to the research results at home and abroad in recent years, the factors affecting the jigging separation effect and the operating variables are analyzed and studied. A jigger automatic control system based on fuzzy control technology is designed to monitor and adjust the parameters of the jigger's wind valve in real time. The main research work is as follows: 1. analyze the operating variables of jigger and give the system control requirements. Through the stratification study of the jig machine layer, the factors affecting the jig bed separation are determined, such as the air volume, the size of the water, the structure of the jig, the frequency of the jig, and so on; the ultrasonic sensors and the specific gravity buoys are used. The method of combining the height of the bed layer and the height of the jig water level by.2. is used to determine the research scheme of the fuzzy controller. The optimization function of the particle swarm optimization algorithm is used to optimize the controller parameters (membership function etc.). The input of the fuzzy controller is selected as the looseness deviation e of the jigger's wind valve and the variation rate of the loose divergence of EC. In the last year, the research field experience was compiled as a fuzzy control rule in the fuzzy controller, and the fuzzy controller was used to adjust the air valve to adjust the cycle of the jigger valve, and the fuzzy control hardware part of the.3. to the jigger valve was carried out by the output part of the solid state relay. Through the analysis and design, the SIEMENS S7-1200 series PLC is selected and the hardware of the jigger wind valve control system is configured through the S7-1200 programming software STEP 7 basic10.5, and the PLC program is programmed, including the bed data acquisition process, the looseness calculation process, the fuzzy controller output process and so on through S7-1200 and HMI through Ethernet. In order to realize the real-time monitoring of the fuzzy control system of the jigger's wind valve, the test and debugging of the laboratory show that the system is feasible in the industrial field.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD455.1

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