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External Perturbation Estimation based on Super-Twisting Algorithm for Attitude Control of UAVs

机译:基于超级扭转算法的外部扰动估计

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In this paper, the problem of UAVs attitude control with external perturbation is addressed. The algorithm is constructed in two steps, in the first step the external perturbation is estimated using finite time convergent observer (Super-Twisting Algorithm (STA)) while in the second step this estimation is used by the controller in order to compensate it. The closed loop stability properties of this nonlinear controller/observer are analyzed using separation principle and the system is found to be globally stable. The results of simulations and actual experiments on a real quadrotor show the effectiveness of the proposed observer/controller to improve the performances of the system despite of disturbances.
机译:在本文中,解决了与外部扰动的无人机姿态控制问题。该算法分两步构造,在第一步中,使用有限时间收敛观察器(超扭曲算法(STA))估计外部扰动,而在第二步骤中,该估计由控制器使用,以便补偿它。使用分离原理分析该非线性控制器/观察者的闭环稳定性特性,并发现该系统全局稳定。仿真和实际实验对真正的四轮电机的结果表明,尽管有干扰,所提出的观察者/控制器的有效性提高了系统的性能。

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