悬臂式掘进机自适应截割控制系统研究  

Study on adaptive cutting control system of boom-type roadheader

作　　者：张建广 

机构地区：[1]中国煤炭科工集团太原研究院有限公司,山西太原030006 [2]煤矿采掘机械装备国家工程实验室,山西太原030006

出　　处：《煤炭科学技术》2016年第2期148-152,共5页Coal Science and Technology

基　　金：国家高技术研究发展计划(863计划)资助项目(2012AA06A405)

摘　　要：为了降低恶劣工况下工作载荷的突变对悬臂式掘进机截割性能和效率的影响,在分析影响掘进机工作载荷因素的基础上,指出截割控制的主要目的是要使掘进机截割头转速、截割臂摆动速度自动与工作载荷相适应,且二者之间相互匹配,从而实现高效、平稳截割。构建了基于PID神经元网络的自适应控制策略和硬件系统结构,并在此基础上建立了掘进机截割的近似数学模型。通过仿真分析证明,基于PID神经元网络的自适应截割控制方法,在0.1 s之内就可以达到设定目标值且稳态误差接近于0,满足悬臂式掘进机自适应截割的需求。In order to reduce the influence of boom-type roadheader cutting performance and efficiency on the sudden change of working load in difficult conditions,and based on the analysis of the effects factor of roadheader working load,the paper stated primary purpose of the cutting control system was to make roadheder cutting head speed,cutting arm swing speed could automatically adapt the working load and also between the two could match each other,achieving efficient,smooth cutting.Conceiving the adaptive control strategy and hardware system structure which based on PID neural network and a mathematical model to approximate roadheader actually working by this mean.The simulation analysis showed that the adaptive cutting control method based on PID neural network could achieve the set target value within cutting 0.1 s which closed to zero steady-state error and met boom-type roadheader adaptive cutting needs.

关 键 词：悬臂式掘进机 智能控制 自适应截割 PID神经元网络 

分 类 号：TD67[矿业工程—矿山机电]