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首页> 外文期刊>International Journal of Advanced Robotic Systems >Robust adaptive multivariable higher-order sliding mode flight control for air-breathing hypersonic vehicle with actuator failures
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Robust adaptive multivariable higher-order sliding mode flight control for air-breathing hypersonic vehicle with actuator failures

机译:具有执行器故障的空气呼吸超声车辆的强大自适应多变量高阶滑动模式飞行控制

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摘要

This article proposes an adaptive multivariable higher-order sliding mode control for the longitudinal model of an air-breathing vehicle under system uncertainties and actuator failures. Firstly, a fast finite-time control law is designed for a chain of integrators. Secondly, based on the input/output feedback linearization technique, the system uncertainty and external disturbances are modeled as additive certainty and the actuator failures are modeled as multiplicative uncertainty. By using the proposed fast finite-time control law, a robust multivariable higher-order sliding mode control is designed for the air-breathing hypersonic vehicle with actuator failures. Finally, adaptive laws are proposed for the adaptation of the parameters in the robust multivariable higher-order sliding mode control. Thus, the bounds of the uncertainties are not needed in the control system design. Simulation results show the effectiveness of the proposed robust adaptive multivariable higher-order sliding mode control.
机译:本文提出了一种自适应多变量高阶滑模控制,用于系统不确定性和执行器故障下的空气呼吸车辆的纵向模型。首先,专为集成商链设计了一个快速的有限时间控制法。其次,基于输入/输出反馈线性化技术,系统不确定性和外部干扰被建模为附加确定性,并且执行器故障被建模为乘法不确定性。通过采用所提出的快速有限时间控制规律,设计了一种强大的多变量高阶滑动模式控制,用于带有致动器故障的空气呼吸超声波车辆。最后,提出了适应法律,以便在强大的多变量高阶滑动模式控制中的参数调整。因此,在控制系统设计中不需要不确定性的界限。仿真结果表明,提出的鲁棒自适应多变量高阶滑动模式控制的有效性。

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