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Adaptive flight control for quadrotor UAV in the presence of external disturbances

机译:存在外部干扰时四旋翼无人机的自适应飞行控制

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Adaptive control is of interest in the flight control systems for its capability to enhance performances and reliability. However, it is also used for handling aerodynamic parameters uncertainties, modeling inaccuracies and external disturbances. When combined with the sliding mode control, robustness from general point of view can be improved. This paper adresses a direct adaptive sliding mode flight control for quadrotor attitude stabilization and altitude trajectory tracking where minimum phase and observability conditions are verified. Indeed, after the achievement of quadrotor flight dynamics under some assumptions, an adaptive sliding mode flight control algorithm is developed for perfect navigation conditions. In addition, a centered white Gaussian noise and some parameters uncertainties with respect to both of the quadrotor mass and inertia matrix are considered, respectively. In order to guarantee the global stability of the synthesized controller with the adaptation mecanism, Lyapunov theory is advanced. Numerical simulations are performed showing the effectiveness and robustness of the proposed adaptive control algorithm.
机译:自适应控制在飞行控制系统中是令人关注的,因为它具有增强性能和可靠性的能力。但是,它也用于处理空气动力学参数的不确定性,建模误差和外部干扰。当与滑模控制结合使用时,从一般的角度来看,可以提高鲁棒性。本文提出了一种用于四旋翼姿态稳定和高度轨迹跟踪的直接自适应滑模飞行控制,其中已验证了最小相位和可观察性条件。确实,在某些假设下实现了四旋翼飞行动力学之后,针对理想的导航条件开发了一种自适应滑模飞行控制算法。此外,分别考虑了中心高斯白噪声和关于四旋翼质量和惯性矩阵的一些参数不确定性。为了用自适应机制保证合成控制器的全局稳定性,提出了李雅普诺夫理论。数值仿真表明所提出的自适应控制算法的有效性和鲁棒性。

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