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Fixed-Wing UAV Attitude and Altitude Control via Adaptive Second-Order Sliding Mode

机译:通过自适应二阶滑模控制的固定翼无人机姿态和高度控制

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This paper proposes an advanced control approach applied to a fixed-wing Unmanned Aerial Vehicle (UAV) to ensure the stabilization of its angular and vertical positions (attitude and altitude). Actually, the UAV is represented by a dynamic model and is controlled by a robust control law which is the adaptive super-twisting algorithm. This controller based on a second-order sliding mode (SOSM) control is justified by the fact that the fixed-wing UAV has a complex nonlinear, strongly coupled model and undergoes external disturbances. The proposed approach overcomes these problems and ensures finite time convergence. It should be noted that gain adaptation reduces chatter. The performance and effectiveness of the proposed controller are tested by simulations in trajectory tracking mode and compared to classical sliding and classical super-twisting controllers.
机译:本文提出了一种应用于固定翼无人机的先进控制方法,以确保其角度和垂直位置(姿态和高度)的稳定。实际上,无人机由动态模型表示,并由鲁棒控制定律控制,鲁棒控制定律是自适应超扭曲算法。这种基于二阶滑模(SOSM)控制的控制器的事实是,固定翼无人机具有复杂的非线性,强耦合模型并且会受到外部干扰。所提出的方法克服了这些问题并确保了有限的时间收敛。应当注意,增益自适应可以减少抖动。在轨迹跟踪模式下通过仿真测试了所提出控制器的性能和有效性,并将其与经典滑动控制器和经典超扭曲控制器进行了比较。

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