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A static projective control method of a flying-wing UAV based on the robust and optimal theories

机译:基于稳健和最优理论的飞翔无人机的静态投射控制方法

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According to the unusual conformation and aerodynamic characteristic of a flying-wing UAV, a static projective control system is designed based on the robust and optimal theories. Firstly the features of a flying-wing UAV are presented and a 6 DOF (degree of freedom) nonlinear model of the aircraft is given. Secondly the static projective control method is formulated in three parts: (1) modeling of an expanded robust-servo system; (2) applying the LQR (Linear Quadratic Regulator) method of optimal control to the robust-servo system; (3) using the static projective law to reconstruct the closed loop system by output feedback as a substitute for LQR state feedback. After that an example of a particular static projective controller designing is presented. In simulation, a trajectory tracking example is given by adding additional outer loop controllers outside the static projective controllers. The characteristics of the static projective controllers are shown by a comparison with the ordinary PID attitude autopilot. Then a satisfactory trajectory tracking result is shown which indicates the excellent transient performance and accuracy of static projective controllers of the inner loops.
机译:根据飞翼UAV的不寻常构象和空气动力学特性,基于稳健和最佳理论设计了一个静态投射控制系统。首先,给出了飞行翼UAV的特征,给出了飞机的6 DOF(自由度)非线性模型。其次,静电投影控制方法包括三部分:(1)扩展鲁棒伺服系统的建模; (2)应用LQR(线性二次调节器)对鲁棒伺服系统的最优控制方法; (3)使用静态投影法通过输出反馈重建闭环系统作为LQR状态反馈的替代。之后提出了特定静态投影控制器设计的示例。在模拟中,通过在静态投影控制器外添加附加的外环控制器来给出轨迹跟踪示例。通过与普通PID姿态自动驾驶仪的比较显示了静态投射控制器的特性。然后显示了令人满意的轨迹跟踪结果,其表示内部环路的静态投射控制器的出色瞬态性能和精度。

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