人工神经网络PID在有机垃圾减量化处理设备中的应用

Application of Artificial Neural Network PID Control to Organic Garbage Decomposition Vanished Machinery

阐述了人工神经PID(比例-微分-积分校正)控制技术在有机垃圾减量化处理设备中的应用。采用神经网络辩识器(NNI)对被控对象进行在线辩识,建立被控对象的数学模型。在此基础上,对神经网络控制器(NNC)进行实时调整,使系统具有自适应性,从而达到有效控制的目的。使用矩阵实验软件(MATLAB)仿真表明,它具有动态特性好、响应速度快、稳定的时间短,优于原方案使用的PID控制。神经PID控制系统大大改善了系统的控制效果。

In this paper, introduced the application of neural PID control to organic garbage decomposition vanished machinery. The control system was a system of nonlinear and a great deal delay, for it was unable to obtain the satisfactory demand that if it used a general PID control. The NNI was used to identify the object on line, it could be built an object of mathematic modeling. On the basis, NNC was adjusted on real time, the system became self-adapted and improved its control effect. The control system with ANN PID has good dynamic character, quick response, short steady, better than general control of PID, and improved control effect of system by ANN-PID.