ID 原文 译文
55757 针对自主空中加油输油阶段无人机位置保持控制问题,将无人机分为飞机本体和油箱两部分,利用变质量系统理论建立了无人机非线性方程,解决了常规模型无法反映出无人机重量、重心变化的问题。 Unmanned aerial vehicle (uav) in autonomous aerial refueling oil phase position keeping control problems, will be divided into drone aircraft body and the fuel tank, the unmanned aerial vehicle (uav) was established based on variable mass system theory of nonlinear equation, solve the normal model can't reflect the unmanned aerial vehicle (uav) weight, center of gravity change.
55758 控制律设计方面,通过将变化的油箱转化为外界干扰,提出了基于干扰观测器控制(disturbance observer based control,DOBC)的复合控制结构。 Control law design, through the tank will change into interference, is proposed based on disturbance observer control (disturbance observer -based control, DOBC) compound control structure.
55759 复合控制器由位置保持控制器和干扰观测器组成,位置保持控制器采用带积分的线性二次型方法,干扰观测器由比例积分观测器和补偿单元构成,并证明了复合控制器的稳定性。 Compound controller is composed of position in controller, and disturbance observer, station keeping controller with integral linear quadratic methods, by proportional integral observer and disturbance observer compensation units, and the stability of compound controller is proved.
55760 仿真结果表明,将该控制器应用于某型高空无人机非线性模型,可有效减小输油过程带来的影响,实现了输油阶段的位置保持控制。 Simulation results show that the controller was applied to a certain type of high altitude uav nonlinear model, which can effectively reduce the impact of the process, the position of the oil phase to maintain control.
55761 在雷达识别系统中,确定目标的尺寸对于提高目标识别能力具有重要的意义。 In radar system, the size of the target to improve the ability of target recognition is of great importance.
55762 针对逆合成孔径雷达(inverse synthetic aperture radar,ISAR)成像的定标问题,考虑了等效转台和残余平动引入的相位误差,提出了一种ISAR目标有效转动速度估计的新方法。 For inverse synthetic aperture radar (inverse synthetic aperture radar, ISAR) imaging of the scaling problem, considering the equivalent turntable and the residual phase error introduced translation, this paper proposes a new method of ISAR target effective rotational speed estimation.
55763 通过在距离多普勒图像中自适应提取若干目标特征点,对其建立时变自回归模型(time-varying autoregressive,TVAR)。 Through in the range doppler image adaptive extracts some target feature points, the time-varying autoregressive model (time - varying autoregressive, TVAR).
55764 利用多项式拟合极点的多普勒历程,解算有效转动速度与残余相位误差系数。 Using polynomial fitting doppler course of pole, and calculating the effective rotation speed and the residual phase error coefficient.
55765 该方法不仅能可靠实现方位定标,残余的相位误差补偿可进一步提高图像的聚焦性能。 The method not only can realize the azimuth and reliable calibration, the residual phase error compensation can further improve the focusing performance of the image.
55766 仿真和实测数据实验验证了所提方法的有效性。 Simulation and experimental data the effectiveness of the proposed method is verified by the experiments.