基于BP神经网络PID控制的水泥稳定碎石集料计量控制系统研究  

Research on Metering Control System of Cement Stabilized Macadam Aggregates Based on BP Neural Network PID Control

作　　者：王钧 田文贺 石杰荣 张春海 何亚乾 Tian Wenhe;Shi Jierong;Wang Jun

机构地区：[1]长安大学,710061 [2]陕西省交控集团公司京昆改扩建管理处 [3]河北省高速公路公司延崇筹建处 [4]中建路桥集团有限公司

出　　处：《工程机械》2022年第9期59-65,I0015,共8页Construction Machinery and Equipment

摘　　要：为了解决常规PID控制在水泥稳定碎石集料计量系统中参数动态匹配不佳的问题,提出一种基于BP神经网络PID控制的方法,设计BP神经网络集料计量PID控制器,利用Matlab/Simulink软件建立其控制模型,并进行仿真分析。仿真结果表明:对比常规PID控制,BP神经网络PID控制系统超调量更小、响应速度更快、收敛于设定值的调节时间更短、稳定性更好,系统抗干扰能力更强,更符合水泥稳定碎石集料的计量要求。In order to solve the problem of poor dynamic matching of parameters of conventional PID control in the metering system of cement stabilized macadam aggregates,a method based on BP neural network PID control is proposed to design a BP neural network aggregate metering PID controller,and its control model is established by using software Matlab/Simulink for simulation analysis.The simulation results show that,compared with conventional PID control,the BP neural network PID control system has smaller overshoot,faster response,shorter adjustment time to converge to the set value,better stability,and stronger antiinterference ability of the system,which is more in line with the metering requirements of cement stabilized macadam aggregates.

关 键 词：集料计量 PID控制 BP神经网络 BP神经网络PID控制 

分 类 号：U414[交通运输工程—道路与铁道工程] TP183[自动化与计算机技术—控制理论与控制工程] TP273[自动化与计算机技术—控制科学与工程]