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Robust adaptive tracking control of delta wing vortex-coupled roll dynamics subject to delay and SMA actuator dynamics

机译:受延迟和SMA执行器动力学影响的三角翼涡旋耦合侧倾动力学的鲁棒自适应跟踪控制

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In this paper, a feedback control strategy for stabilizing vortex-coupled delta wing roll dynamics with state delay and parameter uncertainty in the rolling moment coefficient relying on a robust adaptive tracking neuro-controller, which employs a network of Gaussian radial basis functions (RBF) to adaptively compensate for the rolling moment coefficient, is proposed. The stabilizing controller is shown to render the control system globally practically stable, whereas the robust adaptive tracking neuro-controller provides satisfactory tracking performance. The rolling moment coefficient, as a function of left and right vortex breakdown positions, is estimated online in an adaptive neuro-controller structure using a special feature of RBF networks for the delta wing case. The numerical simulation illustrates the applicability of the developed controller.
机译:在本文中,基于鲁棒自适应跟踪神经控制器,采用高斯径向基函数网络(RBF)来稳定具有状态延迟和参数不确定性的稳定涡旋耦合三角翼侧倾动力学的反馈控制策略。提出了一种自适应补偿侧倾力矩系数的方法。稳定控制器显示为使控制系统在全球范围内实用稳定,而强大的自适应跟踪神经控制器则提供了令人满意的跟踪性能。滚动力矩系数作为左右涡旋破裂位置的函数,是在自适应神经控制器结构中使用RBF网络的特殊功能在线估计的,用于三角翼情况。数值仿真说明了所开发控制器的适用性。

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