带式输送机速度优化节能控制方法的研究

发布时间：2018-03-31 13:39

本文选题：带式输送机　切入点：速度优化　出处：《太原理工大学》2017年硕士论文

【摘要】：带式输送机作为煤炭运输的主要设备,是煤炭生产系统的咽喉。随着科技的发展进步,带式输送机朝着大运量、高移速、长距离的方向发展,与之相伴的是输送机能耗的增加。随着国家提出节能减排战略,如何提高带式输送机的运输效率,从而降低能量消耗成为亟需解决的问题。目前可以从四个方面提高带式输送机的利用效率:改善机械性能、改进设备、科技进步与改进运行方式。目前绝大多数研究集中在前三个方面,而改变运行方式是提高带式输送机运输效率、降耗节能的全新视角。目前带式输送机运行方式单一,通常保持额定带速恒定运行,这样容易出现半载甚至空载情况,改变运行方式可以通过调节带速使输送机保持满载运行、规划输送机运输时间,从而达到节能目的。本文包括带式输送机运输策略优化与调速节能控制两大部分,首先在输送机调速节能理论的基础上建立带式输送机动态能耗模型,确定带式输送机速度优化理论基础,根据能耗模型结合实际工况对带式输送机的运输策略进行优化,同时分析经过优化后可为企业带来的节能效益,结果表明,对带式输送机的运输策略进行优化,配合调速满载运行,可以为煤矿企业带来巨大的经济效益。其次,针对实际运输过程中物料的不稳定性,提出带式输送机的智能控制方法使其保持满载运行,分析调速过程带式输送机的机械与机电特性,计算各部位所能承受的最大加速度,保证调速过程中的安全性,依据各计算参考数据,设计带式输送机模糊控制器,选择输送机参考速度、加速度作为输入,驱动力矩作为输出,并对输入量进行模糊化,选取相应的隶属函数,制定模糊规则,从而通过模糊控制实现带式输送机物料与带速相匹配运行。最后,结合dSPACE半实物仿真平台,建立带式输送机实时模糊控制系统,搭建实验平台,实现带速与模拟物料流量匹配实验,为带式输送机智能控制奠定理论与实验基础。为了体现输送机带速模糊控制的可靠性与运行性能,采用速度传感器对输送机带速进行实时监测,同时与输送机速度进行实时对比,对比结果表明通过模糊控制可以处理运行过程中带式输送机的调速问题,有效避免调速过程中的力学问题,并且具有较强的鲁棒性,适合于实际工业应用。通过提出带式输送机的速度优化节能理论与控制方法,为输送机运行过程中的优化与控制领域展开新的思路,从而提升带式输送机的使用效率,给煤炭企业带来经济效益的同时节约了大量的能量消耗。
[Abstract]:Belt conveyor, as the main equipment of coal transportation, is the throat of coal production system. With the development of science and technology, belt conveyor is developing in the direction of large volume, high speed and long distance. With the increase of energy consumption of conveyors, how to improve the transport efficiency of belt conveyors, with the development of energy saving and emission reduction strategy, Therefore, reducing energy consumption has become an urgent problem. At present, the utilization efficiency of belt conveyor can be improved in four aspects: improve mechanical performance, improve equipment, At present, most of the researches focus on the first three aspects, but changing the operation mode is a new angle of view to improve the transportation efficiency, reduce consumption and save energy of belt conveyors. At present, the operation mode of belt conveyors is single, Usually, the rated belt speed is kept constant, so it is easy to appear half load or even no load. By adjusting the belt speed, the conveyor can be kept in full load operation, and the transportation time of the conveyer can be planned. This paper includes two parts: belt conveyor transportation strategy optimization and speed regulation energy-saving control. Firstly, the dynamic energy consumption model of belt conveyor is established on the basis of the energy saving theory of belt conveyor speed regulation. The theoretical basis of speed optimization of belt conveyor is determined. The transportation strategy of belt conveyor is optimized according to the energy consumption model combined with actual working conditions. At the same time, the energy saving benefits brought by the optimization are analyzed. The results show that, The transportation strategy of belt conveyer is optimized and the speed regulation is carried out at full load, which can bring huge economic benefits to coal mining enterprises. Secondly, aiming at the instability of materials in the actual transportation process, The intelligent control method of belt conveyor is put forward to keep it running at full load. The mechanical and mechanical characteristics of belt conveyor are analyzed, the maximum acceleration of each part can be calculated, and the safety of speed regulation process is guaranteed. According to the reference data of each calculation, the fuzzy controller of belt conveyor is designed. The reference speed and acceleration of conveyor are selected as input, the driving moment is taken as output, and the input quantity is fuzzy, and the corresponding membership function is selected. The fuzzy rules are made to realize the matching of belt conveyor material and belt speed through fuzzy control. Finally, combining with dSPACE hardware-in-the-loop simulation platform, the real-time fuzzy control system of belt conveyor is established, and the experimental platform is built. The experiment of matching belt speed with simulated material flow is realized, which lays a theoretical and experimental foundation for intelligent control of belt conveyor. In order to reflect the reliability and operation performance of belt speed fuzzy control, The speed of belt conveyor is monitored by speed sensor, and the speed of belt conveyor is compared with the speed of conveyor. The result shows that the speed regulation of belt conveyor can be handled by fuzzy control. The mechanical problems in the process of speed regulation are avoided effectively and have strong robustness, which is suitable for practical industrial application. The theory and control method of speed optimization and energy saving of belt conveyor are put forward. In order to improve the efficiency of belt conveyor, it can bring economic benefits to coal enterprises and save a lot of energy consumption.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH222

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