自适应逆控制三自由度直升机扰动消除系统研究  

Adaptive Inverse Control 3-DOF Helicopter Disturbance Eliminating Control System

作　　者：王修岩[1] 王莹[1] 李宗帅[1] 

机构地区：[1]中国民航大学航空自动化学院,天津300300

出　　处：《机械设计与制造》2014年第2期30-33,共4页Machinery Design & Manufacture

基　　金：中央高校基本科研业务费中国民航大学专项资助项目(ZXH2010C002)

摘　　要：针对三自由度直升机系统扰动消除的控制问题,提出了一种模糊神经网络模型参考自适应逆控制及扰动消除控制方案。运用FNN推理合成思想建立模糊神经网络结构,利用神经网络结构实现模糊推理过程,采用神经网络的连接权重来表示模糊推理的参数和修改连接权重来辨识模糊模型和调整隶属函数,并在整个噪声消除系统中利用神经网络学习算法进行建模和逆建模,且用它们的复制模块来组成消除扰动系统,从而达到消除扰动的目的。最后,对三自由度直升机模型进行了仿真实验,结果验证了该方法的有效性和可行性。With reference to eliminate disturbance control problem occurred in 3-DOF helicopter system, fuzzy neural network model reference adaptive inverse control and eliminating control scheme is presented. Fuzzy neural network structure is established by the FNN reasoning synthetic. And fuzzy inference process is implemented by the neural network structure. The neural network connection weight represents the parameters of the fuzzy inference. With modifying the connection weights in order to identify the fuzzy model and to adjust the membership function, neural network learning algorithm for modeling and inverse modeling is applied in the whole noise cancellation system, so as to achieve the purpose of elimination disturbances. Finally, the simulation result of 3-DOF helicopter system shows that the method is effectiveness and feasibility.

关 键 词：直升机 模糊神经网络 自适应逆控制 扰动消除 

分 类 号：TH16[机械工程—机械制造及自动化]