挖掘机提升系统神经网络PID控制的研究

Research of PID Control Based on Neural Network of Lift System of Excavator

建立了280-B挖掘机提升系统的数学模型;针对该系统动态特性的非线性和时变性因素,提出了一种基于BP神经网络的PID控制器的设计方案,该控制器既有经典PID控制算法的特点,又有神经网络良好的自适应和抗干扰能力。Matlab仿真结果表明,基于BP神经网络的PID控制器具有较高的精度和较强的适应性,可以获得满意的控制效果。

The mathematical model of lift system of 280-B excavator was established.In view of nonlinear and time-varying factors of dynamic characteristics of the system,a design scheme of PID controller based on BP neural network was put forward.The controller has characteristics of classical PID control algorithm and good self-adaptive and anti-jamming capabilities of neural network.The Matlab simulation result showed that the PID controller based on BP neural network has high accuracy and strong adaptability which can get satisfied control effect.