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Nonlinear Backstepping Based Trajectory Tracking Control of a Gun Launched Micro Aerial Vehicle

机译:基于非线性反推的火炮微型飞行器弹道跟踪控制

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This paper considers the question of obtaining a nonlinear trajectory tracking control law for a comprehensive design of a Gun Launched Micro Aerial Vehicle (GLMAV), a new Micro Aerial Vehicle (MAV) concept using two bladed coaxial contra-rotating rotors. The MAV packaged in a projectile is launched using the energy delivered by a portable weapon. When it reaches the apogee, the projectile is transformed in such a way that the MAV becomes operational over the zone to be observed. A detailed GLMAV nonlinear mathematical model, taking into consideration external wind, is presented for hover and near hover flight conditions. The problem is difficult due to that external wind and to the presence of small body forces that can not be directly incorporated into the control design. A control Lyapunov function, used to analyze the closed loop performance of the system, is then derived for an approximate model using standard backstepping techniques. The whole design procedure of the backstepping based control law is conducted within the paper. This control law is then applied to the whole model of the GLMAV and a numerical simulation is used to demonstrate the control law's nominal performance. Following this, other numerical simulations are used to demonstrate the control law performance in presence of noise measurement and external wind. Finally, the designed nonlinear control law succeeds in enforcing the desired trajectories robustly with respect to noise measurement, external wind and approximations made in the modeling of the GLMAV.
机译:本文考虑了获取枪支弹射微型飞行器(GLMAV)的综合设计的非线性轨迹跟踪控制律的问题,GLMAV是使用两个带叶片同轴反向旋转转子的新型微型飞行器(MAV)的概念。装在弹丸中的MAV是使用便携式武器传递的能量发射的。当它到达最高点时,弹头将进行转换,以使MAV在要观察的区域上开始工作。提出了详细的GLMAV非线性数学模型,其中考虑了外部风,用于悬停和近悬停飞行条件。由于外部风和不能直接纳入控制设计中的小体力的存在,该问题很难解决。然后使用标准反推技术为近似模型导出用于分析系统闭环性能的控制Lyapunov函数。在本文中进行了基于反推控制律的整个设计过程。然后将此控制律应用于GLMAV的整个模型,并使用数值模拟来演示控制律的标称性能。在此之后,使用其他数值模拟来演示在存在噪声测量和外部风的情况下控制律的性能。最后,设计的非线性控制定律成功地在噪声测量,外部风和GLMAV建模中的逼近方面稳健地增强了所需的轨迹。

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