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Nonlinear Autopilot Design for Fixed-Wing UAV Using Disturbance Observer Based Backstepping

机译:使用基于干扰观察者的抗干扰的固定翼UAV非线性自动驾驶仪设计

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This paper focuses on the design of a robust nonlinear autopilot for fixed-wing unmanned aerial vehicle. A disturbance observer based backstepping control method is proposed to deal with nonlinearities and uncertainties simultaneously. The nonlinear baseline controllers for airspeed, altitude, and roll angle command tracking and sideslip angle regulation are constructed recursively based on backstepping. Nonlinear disturbance observers are designed to obtain the estimations of the lumped disturbances from wind disturbance and aerodynamic uncertainties. As a result, robust performance of the autopilot is achieved by incorporating those estimates into the feedback baseline controllers to compensate for the adverse effects duo to disturbances. Results of numerical simulations demonstrate that the proposed method is particularly beneficial in terms of the command tracking accuracy and the robustness against disturbances and uncertainties.
机译:本文重点介绍了固定翼无人驾驶飞行器的强大非线性自动驾驶仪的设计。提出了一种基于干扰观察者的反向控制方法,以同时处理非线性和不确定性。基于BackStepping,在递归地构建用于空速,高度和滚动角度指挥跟踪和侧滑角调节的非线性基线控制器。非线性干扰观察者旨在获得风扰动和空气动力学不确定性的集体干扰的估计。结果,通过将这些估计结合到反馈基线控制器中来实现自动驾驶仪的鲁棒性能,以补偿对扰动的不利影响。数值模拟的结果表明,该方法在指挥跟踪准确性和抗扰动和不确定性的鲁棒性方面特别有益。

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