摘要
为改善带式输送机调速控制系统中静态模型过于理想化及被控制对象存在局限性等问题,提出一种基于动态运输模型的矿用带式输送机调速控制方法。结果表明:采用折衷型模糊决策算法得出运输区段内受干扰皮带的可调系数,判定调速优先级并确定被控目标皮带;根据目标皮带的动态运输特性建立与其对应的状态空间模型,确定模型的输入输出量和系统被控变量,根据实际总煤量值与设定值的偏差,采用模糊控制方法调节带速,使模型的总煤量输出保持理想设定值附近,从而保证运输节能;仿真试验以某实际煤矿运输系统为背景,根据可调系数大小判定被控皮带并实施调速。皮带输出总煤量在设定值附近波动,最大误差率为11.1%,证明了所提调速控制方法的有效性。
In order to improve the static model in the belt conveyor speed control system and the limitations of the controlled object,a speed regulation method for mining belt conveyors is proposed based on the dynamic transport model..The results show that an eclectic fuzzy decision algorithm is used to obtain the adjustable coefficients of the interference bands in the transportation section,so as to determine the priority of the speed regulation as well as the controlled target bands.In accordance with the dynamic transport properties of the target band,the corresponding state-space model is constructed to calculate the input and output of the model and the control variables of the system.According to the deviation between the actual total coal quantity value and the set value,the fuzzy control method is used to adjust the belt speed,so that the total coal output of the model is kept near the ideal set value,thus ensuring the energy saving in transport.Simulation experiments were conducted in the context of an actual coal mine transportation system,where controlled belts were determined and speed regulation was implemented based on adjustable coefficients.The total coal output of the belt fluctuates around the set value,with a maximum error rate of 11.1%,which demonstrates the effectiveness of the proposed speed control method.
作者
王宏伟
刘勰
黄向东
WANG Hongwei;LIU Xie;HUANG Xiangdong(Zaoquan Colliery,CHN Energy Ningxia Coal Industry Co.,Ltd.,Yinchuan 750001;College of Electrical and Control Engineering,Xi’an University of Science and Technology,Xi’an 710054,China)
出处
《西安科技大学学报》
CAS
北大核心
2023年第4期816-824,共9页
Journal of Xi’an University of Science and Technology
基金
陕西省自然科学基础研究计划项目(2018JM6003)。
作者简介
通信作者:王宏伟,男,宁夏彭阳人,工程师,E-mail:hongweiwang987@163.com。