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Active anti-disturbance control of a quadrotor unmanned aerial vehicle using the command-filtering backstepping approach

机译:使用命令滤波反向接近的四轮车无人空中车辆的主动反干扰控制

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摘要

In this paper, a backstepping-based nonlinear controller is developed to control the quadrotor in the presence of constant and time-varying disturbances. The control law is derived based on Lyapunov stability arguments. The controller is integrated with a disturbance observer to estimate and attenuate the effect of the disturbing forces and moments influencing the quadrotor. In this approach, no disturbance model is required for the disturbance observer. Discontinuous terms are added to the control law to ensure the negative definiteness of the Lyapunov function derivative without neglecting the disturbance observer estimation errors. Command filtering is used to compute the derivatives of the virtual control signals to avoid the complex analytic derivation of these derivatives, and to avoid differentiating the discontinuous terms existing in the controller. The effectiveness of the developed controller is investigated in simulations against disturbances due to partial actuator failure, wind, and unmodeled rotor dynamics.
机译:在本文中,开发了一种基于反向的非线性控制器以在存在恒定和时变干扰的情况下控制四轮电机。根据Lyapunov稳定性参数导出控制法。控制器与干扰观察者集成,以估计和衰减影响四轮压力机的令人不安力和时刻的效果。在这种方法中,干扰观察者不需要干扰模型。在控制法中添加了不连续的术语,以确保Lyapunov函数衍生物的负面明示而不忽略干扰观察者估计误差。命令过滤用于计算虚拟控制信号的导数以避免这些衍生物的复杂分析推导,并避免区分控制器中存在的不连续术语。由于部分执行器故障,风和未拼接的转子动力学,在仿真防止扰动中进行了显影控制器的有效性。

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