首页> 外文会议>AIAA Guidance, Navigation and Control Conference Pt.3, Aug 1-3, 1994, Scottsdale, AZ >NONLINEAR CONTROL OF ROTORCRAFT USING APPROXIMATE FEEDBACK LINEARIZATION AND ONLINE NEURAL NETWORKS
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NONLINEAR CONTROL OF ROTORCRAFT USING APPROXIMATE FEEDBACK LINEARIZATION AND ONLINE NEURAL NETWORKS

机译:基于近似反馈线性化和在线神经网络的转轮非线性控制

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摘要

This study considers the design and implementation of a linearizing high performance controller in a comprehensive nonlinear simulation in which the equations of motion are not known explicitly. This necessitates the use of an approximate nonlinear model which can be obtained by numerical perturbation in the simulation or by system identification. Once this model is obtained, a controller is synthesized based solely on the approximate model and it is implemented in the comprehensive simulation model. The approximate model used in this study is a quadratic representation which seems to capture the essential nonlinearity inherent in a helicopter. This conclusion is based on the good performance results obtained from the implementation of the controller in a generic rotorcraft comprehensive nonlinear simulation. The effect of the model inversion error can be minimized using adaptive control based on an online neural network.
机译:这项研究考虑了在不明确知道运动方程的综合非线性仿真中,线性化高性能控制器的设计和实现。这就需要使用近似的非线性模型,该模型可以通过模拟中的数值扰动或系统识别来获得。一旦获得该模型,就仅基于近似模型来合成控制器,并在综合仿真模型中将其实现。在这项研究中使用的近似模型是一个二次表示,似乎捕捉了直升机固有的基本非线性。该结论基于在通用旋翼飞机全面非线性仿真中从控制器的实施中获得的良好性能结果。可以使用基于在线神经网络的自适应控制将模型反演误差的影响降至最低。

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