基于Elman网络的共轴式直升机动力学系统辨识

根据共轴式直升机动力学与运动学基本方程的结构形式建立了一种基于改进的Elman神经网络的辨识模型,同时推导了该网络的训练算法,给出了训练步骤.随后,利用外场试飞中几个典型飞行状态的遥测数据对网络进行训练,计算权值矩阵,获得该共轴式直升机用来进行动力学系统分析的神经网络模型.以匀速前飞状态为例进行了纵向操纵响应仿真,比较仿真结果和实际遥测数据可知,该网络模型基本反映了样例机的动态特性.

Identification of coaxial helicopter dynamic system with elman neural networks

A modified elman neural network according to the dynamic &; kinematic equations of helicopters was established, the training algorithms for the neural networks(NN) was derived, and the training steps and their realizations were provided. From the telemetry data collection of real trial flights of a type of helicopter, the data of typical flying attitudes were exploited to train the NN and calculate the elements of associated weighted matrix, thus the NN for dynamic analysis against the helicopter was obtained. To illustrate the NN effeteness, the vertical operation response in the constant velocity forward flying attitude was simulated, comparing simulation results with real trial flight data shows that the NN basically reflects the real dynamic behavior of the helicopter.