姿态遥控模式下的无人机短周期特性辨识仿真研究

Identification of Short Period Characteristics for Unmanned Aerial Vehicle with Attitude Control Mode

为了探索姿态遥控模式下的无人机纵向短周期模态计算方法,本文以某型机为例建立了姿态遥控模式下的无人机动力学模型,并采用纵向倍脉冲信号对无人机进行了激励。根据响应结果,基于低阶等效拟配法,采用遗传算法对无人机的阻尼、频率特性进行了辨识,对比分析了时域以及频域辨识方法的结果,最后将所得方法应用于某型无人机纵向短周期模态特性辨识。结合飞行员评价表明,频域辨识拟配得出的频域特性比时域特性好,拟配精度更高;所采用的低阶等效拟配方法适用于姿态遥控模式下的无人机纵向短周期特性评价。

To figure out the method to identify the longitudinal short period characteristics of unmanned aerial vehicle with attitude control mode, the dynamic model of an unmanned aerial vehicle with attitude control mode is built, then the dual-pulse signal is used to excite short period characteristics. According to the result, genetic algorithm is used to identify the damp and frequency of the unmanned aerial vehicle. The results of time domain method and frequency domain method are compared, and the better method is used to identify the short period characteristics of an unmanned aerial vehicle. Considering the assessment of the flight operator, it can be concluded: frequency domain identification is better than time domain method;the low order equivalent system method can be used to assess the short period characteristics of the unmanned aerial vehicle with attitude control mode.