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Intelligent adaptive trajectory tracking control using fuzzy basis function networks for an autonomous small-scale helicopter

机译:基于模糊基函数网络的自主小型直升机智能自适应轨迹跟踪控制

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This paper presents an intelligent adaptive trajectory tracking controller using fuzzy basis function networks (FBFN) for an autonomous small-scale helicopter. With the on-line FBFN approximation to the vehicle mass and the coupling effect between the force and the moments, the intelligent adaptive controller is systematically synthesized using backstepping technique. This controller is shown to achieve the semi-global ultimate boundedness of the closed-loop helicopter dynamics and accommodate agile flight maneuvers in trajectory tracking. The effectiveness and merit of the proposed method are exemplified by performing one nonlinear simulation and by performance comparison with a well-known controller.
机译:本文提出了一种基于模糊基函数网络(FBFN)的小型自主直升机智能自适应轨迹跟踪控制器。通过对车辆质量的在线FBFN逼近以及力与力矩之间的耦合效应,使用后推技术系统地合成了智能自适应控制器。该控制器可实现闭环直升机动力学的半全局极限界,并在轨迹跟踪中适应敏捷的飞行机动。通过执行一次非线性仿真并与知名控制器进行性能比较,说明了该方法的有效性和优点。

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