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Robust adaptive multivariable bi-limit homogeneous higher-order sliding mode flight control for AHVs with actuator faults

机译:具有执行器故障的AHV的鲁棒自适应多变量双极限齐次高阶滑模飞行控制

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摘要

This paper presents an adaptive multivariable bi-limit homogeneous higher-order sliding mode control (HOSMC) for the longitudinal model of an air-breathing hypersonic vehicle (AHV) under system uncertainties and actuator faults. First, a bi-limit homogeneous finite-time control law is designed for a chain of integrators. Second, based on the input/output feedback linearization technique, the system uncertainties and external disturbances are modeled as additive uncertainty, while the actuator faults are modeled as multiplicative uncertainty. By using the proposed bi-limit homogeneous finite-time control law, a robust multivariable HOSMC is designed for the AHV with actuator faults. Finally, adaptive laws are proposed for the adaptation of the parameters within the robust multivariable HOSMC context. Thus, the bounds of the uncertainties are no longer needed in the control system design. Simulation results show the effectiveness of the proposed robust adaptive bi-limit homogeneous multivariable HOSMC.
机译:本文针对系统不确定性和执行器故障下的呼吸高超音速飞行器(AHV)的纵向模型,提出了一种自适应多变量双极限齐次高阶滑模控制(HOSMC)。首先,为一连串的积分器设计了一个双极限齐次有限时间控制律。其次,基于输入/输出反馈线性化技术,将系统不确定性和外部干扰建模为加性不确定性,而将执行器故障建模为乘法不确定性。通过使用提出的双极限齐次有限时间控制律,针对具有执行器故障的AHV设计了鲁棒的多变量HOSMC。最后,提出了用于在鲁棒的多变量HOSMC上下文中对参数进行自适应的自适应定律。因此,在控制系统设计中不再需要不确定性的界限。仿真结果表明了所提出的鲁棒自适应双极限齐次多元HOSMC的有效性。

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