Matlab神经网络工具箱在导弹解耦控制仿真中的应用  

Application of Matlab Neural Network Toolbox in Decoupling Control Simulation for Missiles

作　　者：湛力[1] 罗喜霜[2] 

机构地区：[1]北京信息工程学院信息与通信工程系,北京100101 [2]北京九州恒润科技有限公司,北京100029

出　　处：《系统仿真学报》2006年第5期1375-1378,共4页Journal of System Simulation

摘　　要：研究Matlab神经网络工具箱在导弹解耦控制中的应用。以某型导弹为例,介绍静态状态反馈非线性解耦控制方法在导弹解耦控制中应用的优势和不足,结合Matlab神经网络工具箱强大的功能,为导弹的解耦控制难题提供了解决办法。仿真结果表明,应用神经网络工具箱可以简化导弹解耦控制算法的复杂程度,使之更适合于工程应用。An application of Matlab neural network toolbox was proposed in decoupling control simulation for missiles. A certain type of missile was taken as an example, and the advantage and shortcoming of the static state feedback nonlinear decoupling control method for this missile were discussed. Then a technical solution was proposed for the missile decoupling control problem by introducing the powerful function of the Matlab neural network toolbox. The simulation results presented show that the missile decoupling control algorithm can be simplified by using the Matlab neural network toolbox. Hence it is much easier for application in practice.

关 键 词：解耦控制 相对阶 李导数 解耦矩阵 神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]