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Two time-scale model based adaptive control for helicopter under unknown wind conditions

机译:基于两种时标模型的未知风况下直升机的自适应控制

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Two time-scale model based adaptive control method is proposed for a helicopter to overcome wind disturbances in this paper. Wind disturbances are considered as a mixture of four sinusoidal signals with unknown frequencies, amplitudes and phases. The controller is designed based on the concept of time-scale separation, which has the advantage of decoupling of the rotational and translational dynamics. Backstepping control and inverse dynamic control method are used to design the fast controller and the slow controller individually and different control intervals are used for the two models. Unscented Kalman filter (UKF) is used for online estimation of wind disturbances. The results from UKF are used for the adaptive reconfiguration of the two time-scaled model based controller. Simulation results show that the adaptive control method reduces the impact of wind disturbances and achieves good performance.
机译:提出了两种基于时标模型的自适应控制方法来克服直升机的风扰。风扰被认为是频率,幅度和相位未知的四个正弦信号的混合。控制器是基于时标分离的概念设计的,它具有旋转和平移动力学去耦的优势。分别采用反步控制和逆动态控制方法分别设计了快速控制器和慢速控制器,两种模型使用了不同的控制间隔。 Unscented卡尔曼滤波器(UKF)用于在线估计风干扰。 UKF的结果用于两个基于时间缩放模型的控制器的自适应重新配置。仿真结果表明,该自适应控制方法减少了风扰的影响,取得了较好的性能。

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