基于神经网络PID的液压位置伺服系统控制的研究  

The Research of Hydraulic Servo System Control on Neural Networks PID

作　　者：丁曙光[1] 吴卫平[1] 桂贵生[1] 

机构地区：[1]合肥工业大学机械与汽车工程学院,合肥230009

出　　处：《组合机床与自动化加工技术》2009年第3期49-51,共3页Modular Machine Tool & Automatic Manufacturing Technique

摘　　要：建立精校机电液位置伺服系统的数学模型,针对液压伺服控制系统的非线性和时变性因素,提出了一种基于BP神经网络的PID控制器。该控制器既有经典PID控制算法简单的特点,又有神经网络良好的自适应和抗干扰能力的优点。仿真结果表明,该控制器具有鲁棒性强、超调量小和运行平稳等特点。The mathematical model of electro-hydraulic position servo system is established,in view of the nonlinear and uncertain factors in hydraulic servo control system, a PID controller based on the BP neural network is propose. This controller has the simple characterister of classic PID control arithmetic,and it also has the advantage of neural network＇s good self-adaptive and anti-jamming ability. Simulation results indicate that this controller displays a strong robustness,a small over and a steady movement.

关 键 词：BP神经网络 液压伺服系统 PID控制 

分 类 号：TG65[金属学及工艺—金属切削加工及机床] TH16[机械工程—机械制造及自动化]