航空发动机模糊神经网络控制研究  

Study on Fuzzy-Neural networks control of Aeroengine

作　　者：蒋陵平[1] 左渝钰[1] 傅强[1] 

机构地区：[1]四川广汉中国民用航空飞行学院,618307

出　　处：《微计算机信息》2005年第12S期74-75,142,共3页Control & Automation

摘　　要：航空发动机是一个结构复杂、非线性强的多变量控制对象。随着航空发动机全权限数字式电子控制器的研制和应用,控制变量也随着发动机性能要求的不断提高而越来越多,发动机智能控制技术的应用式必然的趋势。本文将智能控制引入到航空发动机多变量控制中,将模糊控制和神经网络相结合,设计出了航空发动机模糊神经网络控制器。并以某型涡扇发动机为被控对象,进行了数字仿真研究,检验了该方法的适应性。Aeroengines are complicated, non-linear and multivariable control systems. With the developments and applications of aeroengines full authority digital electronic control, the requirements for aeroengine performances become higher and higher, and aeroengine control variables become more and more. Intelligence control for aeroengine multivariable control in the full envelope is inevitable. In this paper, the method of intelligence control are used to aeroengine multivariable control. Banding fuzzy control and neural network control, a fuzzy neural network controller is proposed for aeroengine control systems. Simulation results indicate that the method have favorable dynamic and static control performances in the full envelope.

关 键 词：航空发动机 模糊神经网络 控制系统 实时仿真 

分 类 号：V23[航空宇航科学与技术—航空宇航推进理论与工程]