首页> 外文会议>AIAA Guidance, Navigation and Control Conference Pt.3, Aug 1-3, 1994, Scottsdale, AZ >ADAPTIVE AND NEURAL CONTROL OF WING-ROCK MOTION OF SLENDER DELTA WING
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ADAPTIVE AND NEURAL CONTROL OF WING-ROCK MOTION OF SLENDER DELTA WING

机译:细长三角翼机翼-岩石运动的自适应和神经控制

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The question of wing-rock suppression of slender delta wing is considered. Based on a nonlinear model, an adaptive control law for wing-rock control is derived. In this derivation, it is assumed that the aerodynamic parameters in the nonlinear model are not known. The derivation of a control law for wing-rock suppression using neural networks when the dynamics of wing-rock are completely unknown, is also treated. Radial basis function (RBF) network is used for synthesizing the controller. An adaptation law is derived for adjusting the parameters of the network. Digital simulation results show that in the closed-loop system wing-rock motion is suppressed using the adaptive and neural controllers.
机译:考虑了细长三角翼的机翼-岩石抑制问题。基于非线性模型,推导了机翼-岩石控制的自适应控制律。在此推导中,假设非线性模型中的空气动力学参数未知。当机翼-岩石的动力学完全未知时,使用神经网络抑制机翼-岩石的控制定律也得到了处理。径向基函数(RBF)网络用于合成控制器。推导了适应法则,用于调整网络参数。数字仿真结果表明,在闭环系统中,采用自适应和神经控制器可抑制机翼-岩石运动。

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