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

机译:基于鲁棒最优理论的飞翼无人机静态投影控制方法

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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:针对飞翼无人机的异常构造和空气动力学特性,基于鲁棒性和最优性理论,设计了一种静态投影控制系统。首先介绍了飞行翼无人机的特点,并给出了飞机的6自由度非线性模型。其次,静态投影控制方法由三部分组成:(1)扩展鲁棒伺服系统的建模; (2)将最优控制的LQR(线性二次调节器)方法应用于鲁棒伺服系统; (3)使用静态投影定律通过输出反馈代替LQR状态反馈来重构闭环系统。之后,给出了特定静态投影控制器设计的示例。在仿真中,通过在静态投影控制器之外添加其他外环控制器来给出轨迹跟踪示例。通过与普通PID姿态自动驾驶仪进行比较,显示了静态投影控制器的特性。然后显示了令人满意的轨迹跟踪结果,表明内部回路的静态投影控制器具有出色的瞬态性能和准确性。

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