可调引射混合式低压加热器的智能控制  

Intelligent Control of Adjustable Ejecting-mixing Low-pressure Heater

作　　者：周洪煜[1] 孟欢欢[1] 张振华[1] 陈小健[1] 

机构地区：[1]重庆大学动力工程学院,重庆400030

出　　处：《控制工程》2012年第3期420-424,共5页Control Engineering of China

基　　金：重庆市科委重大科技攻关项目(CSTC2009AB108)

摘　　要：针对可调引射混合式低压加热器是一个多输入多输出的非线性系统,具有时变和非线性特性,采用广义生长-剪枝RBF(GGAP-RBF)神经网络对其进行双变量神经网络自适应控制。该方法用GGAP-RBF网络对加热器非线性模型进行实时辨识,并将系统的Jacobian信息反馈给BP神经网络控制器,从而保证了控制器对被控对象的精确控制。通过加热器的控制对比试验,结果表明该方法能在动态条件下实现对加热器的自适应控制,并且具有较好的动静态性能。A method of double - variable neural network adaptive control method based on GGAP - RBF network is proposed. The ad- justable ejecting - mixing low - pressure heater is with some characteristics including multi - input and nmhi - output, and nonlinearity time - varying uncertainty. In this method, the heater nonlinear model is real - time identified by GGAP - RBF network, and system Ja- cobian information is real - time feedback to BP neural network controller so that the controller can exactly control the heater dynamics. Through comparisons, the results show that it can realize the double - variable control for the heater under dynamic conditions, and the pooosed control scheme has good dynamic and static performances.

关 键 词：可调引射混合式低压加热器 GGAP—RBF神经网络 BP神经网络 双变量控制 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]