Parameters identification of gyroplane longitudinal/lateral model from flight test

Xiaoqian Cheng, Ran Xin, Guoning Bao, D. Luo, Zhiming Guo, Liaoni Wu
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引用次数: 2

Abstract

This paper presents the linear modelling of the gyroplane by the parameters identificaton method using the flight test data of a gyroplane. In recent years, unique advantages of gyroplanes have just been discovered, making it valuable in military or civilian fields. The research about unmanned gyroplanes has been initiated recently. The difficulty, which greatly impedes the research of unmanned gyroplanes, is the nonexistence of dynamic model. To solve this problem, the aerodynamic parameters indentification, based on actual flight test data in the manned gyroplane, is required. In order to get aerodynamic parameters of the linear dynamic model of the gyroplane, flight synchronous acquisition system was designed and established. Repeated flight tests based on excitation signal 211, was conducted. Through operation excitation, sufficient information was obtained to estimate parameters. Equation error method in frequency-domain was used to identify gyroplane aerodynamic parameters. The fitting degree between the flight test data and the responses of identified model proves the reliability of the the identified model. The degree of dispersion of multiple identification results characterizes recognition accuracy. Finally, based on the analysis of object properties, control law design was then carried out and the transformation from manned to unmanned control of gyroplane was therefore completed.
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旋翼机纵向/横向飞行试验模型参数辨识
利用某型旋翼机的飞行试验数据,采用参数辨识方法对旋翼机进行了线性建模。近年来,旋翼机独特的优点被人们发现,使其在军事和民用领域都有很大的应用价值。关于无人旋翼机的研究是近年来才开始的。动力学模型的不存在是阻碍无人旋翼机研究的一大难点。为了解决这一问题,需要基于载人旋翼机实际飞行试验数据进行气动参数辨识。为了获得旋翼机线性动力学模型的气动参数,设计并建立了飞行同步采集系统。基于211激励信号进行了多次飞行试验。通过运行激励,获得足够的信息进行参数估计。采用频域方程误差法辨识旋翼机气动参数。飞行试验数据与识别模型响应的拟合程度证明了识别模型的可靠性。多个识别结果的离散程度决定了识别的准确性。最后,在分析目标特性的基础上,进行控制律设计,完成旋翼机由有人控制向无人控制的转变。
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