The smart rotor technology is the present hotspot in the helicopter world.
智能旋翼技术是目前直升机界的研究热点。
The paper deals with the on line model, control strategy of smart rotor blades and controller realization.
研究了智能桨叶的实时模型、控制方法与控制器的实时实现。
In this thesis, the control law based on adaptive filter for Smart Rotor with actively controlled trailing edge flap is researched.
本文主要研究基于自适应滤波的主动控制后缘附翼智能旋翼控制律设计问题。
The rate of training is improved by introducing the orthogonal selection applying for smart rotor to the selection of training cases in neural modeling.
在神经网络建模的样本选取上，引入了适合于智能旋翼的正交选择法，大大地提高了训练的效率。
The rate of training is improved by introducing the orthogonal selection applying for smart rotor to the selection of training cases in neural modeling.
在神经网络建模的样本选取上，引入了适合于智能旋翼的正交选择法，大大地提高了训练的效率。
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