具有饱和补偿的碟形飞行器神经滑模控制  

Sliding Mode Control Based on Neural Network for Saucer-Shaped Aircraft with Saturation Compensation

作　　者：邬寅生[1,2] 沈庆楼[3] 施建洪[1] 

机构地区：[1]海军航空工程学院控制工程系,山东烟台264001 [2]海军指挥学院信息战研究系,南京211800 [3]海军驻哈尔滨地区航空军事代表室,哈尔滨150060

出　　处：《海军航空工程学院学报》2012年第3期241-244,262,共5页Journal of Naval Aeronautical and Astronautical University

基　　金：国家部委基金资助项目(6140511)

摘　　要：针对执行机构饱和非线性未知的碟形飞行器，在考虑执行机构动态的基础上，设计了基于神经网络的滑模控制器，给出了相应的控制律和参数选择方法。神经网络用来估计执行机构的饱和量，从而在设计控制器时，可以对执行机构的饱和进行相应补偿。仿真结果表明了该方法的正确性和有效性。In order to deal with unknown saturation nonlinearity of the actuators, the sliding mode controller based on the neural network was designed for saucer-shaped aircraft. Both the actuator dynamics were considered. The control law and the principle of preferences were derived. The neural network was adopted to evaluate the part exceeding the actuator saturation limits such that the proposed method could compensate the actuator saturation effectively. Simulation results showed that the proposed method was right and effective.

关 键 词：碟形飞行器 执行机构饱和 神经网络控制 滑模控制 过驱动系统 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]