基于FWA-RFNN的散装物料智能装车系统  被引量:4

Intelligent loading system for bulk materials based on FWA-RFNN

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作  者:刘泽朝 李敬兆[1] 欧阳其春 王冀宁 LIU Zechao;LI Jingzhao;OUYANG Qichun;WANG Jining(School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China;Railway Transport Department,Huaibei Mining(Group)Co.,Ltd.,Huaibei 235000,China)

机构地区:[1]安徽理工大学电气与信息工程学院,安徽淮南232001 [2]淮北矿业(集团)有限责任公司铁路运输处,安徽淮北235000

出  处:《工矿自动化》2020年第12期20-24,37,共6页Journal Of Mine Automation

基  金:国家自然科学基金资助项目(51874010,61170060);北京理工大学高精尖机器人开放性研究项目(2018IRS16);物联网关键技术研究创新团队项目(201950ZX003);淮北矿业集团国家级技术中心计划项目(2018ZDYF011)。

摘  要:针对煤矿散装物料装车过程中偏载严重、误差大等问题,提出了一种基于烟花算法(FWA)优化递归模糊神经网络(RFNN)的散装物料智能装车系统。将列车车厢速度的实测值与设定值进行比较,得到偏差作为RFNN控制器的输入,通过RFNN控制器对偏差进行模糊化、动态记忆调节、去模糊化等处理,并利用FWA对RFNN权重进行优化,使RFNN控制器自适应输出修正后的控制参数;依据散装物料装车计量模型,根据各传感器采集的物料质量、物料高度、车厢装载过程中的行驶距离及RFNN控制器输出的控制参数,求得所需调节的牵引电动机频率,进而改变牵引电动机转速,从而调整列车车厢速度,实现散装物料的无偏载装车。实际应用表明,经FWA优化后的RFNN控制器可快速调节车厢速度,且保持速度稳定,满足多车厢分布均衡装载的要求,同时提高了装车精度。In order to solve the problems of serious unbalanced loading and large errors during the loading of bulk materials in coal mines,an intelligent loading system for bulk materials based on the fireworks algorithm(FWA)optimized recursive fuzzy neural network(RFNN)is proposed.By comparing the measured value and the set value of train carriage speed,the deviation is obtained as the input of RFNN controller.The deviation is processed by RFNN controller for fuzzification,dynamic memory adjustment and defuzzification.FWA is used to optimize RFNN weight so that RFNN controller can self-adaptively output the corrected control parameters.The traction motor frequency is obtained by the bulk material loading metering model,the material quality,material height and distance traveled during carriages loading collected by each sensor and the control parameters output from RFNN controller.Furthermore,the traction motor speed is changed so as to adjust the train carriage speed and realize the unbalanced loading of bulk materials.It has been proved that RFNN controller optimized by FWA can quickly adjust the carriages speed and keep the speed stable so as to meet the requirements of distributed and balanced loading of multiple carriages and improve the loading accuracy at the same time.

关 键 词:散装物料装车 无偏载装车 烟花算法 递归模糊神经网络 

分 类 号:TD56[矿业工程—矿山机电] TD67

 

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