地形探测器-铣刨切深系统BP神经网络PID控制策略的研究  

Research on BP Neural Network PID Control Strategy of the Topography Detector-Milling Cut Depth System

作　　者：冯晓[1,2] 孔凡让[1] 秋实[2] 胡昊[2] 孙野[2] 

机构地区：[1]中国科学技术大学精密机械与仪器系,安徽合肥230027 [2]西北核技术研究所,陕西西安710024

出　　处：《机床与液压》2015年第5期68-70,共3页Machine Tool & Hydraulics

摘　　要：针对污土铣刨收集机械中地形探测器-铣刨切深电液位置伺服系统具有的非线性、时变性特点,提出了地形探测器-铣刨切深系统的BP神经网络PID控制方法,设计了BP神经网络PID控制器,并利用Matlab软件编程进行了仿真分析。研究结果表明,BP神经网络PID复合控制较之常规PID控制可使系统具有更优的动态性能和良好的跟随特性,是一种有效的控制策略。For the problem of non-linearity and time-variable of the topography detector-milling cut depth electro-hydraulic position servo system,a control method for the system based on BP neural network PID was put forward,a BP neural network PID controller was designed. And the model of the topography detector-milling cut depth system based on Matlab was simulated. Simulation results show that compared with the regular PID control method,the BP neural network PID control method possesses better dynamic characteristics and following behavior,which is an effectively controlling strategy.

关 键 词：地形探测器 铣刨切深 BP神经网络PID 动态性能 跟随特性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]