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Robust active controller of hypersonic vehicles in the presence of actuator constraints and input delays

机译:在执行器约束和输入延迟的情况下,高超声速车辆的鲁棒主动控制器

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This paper focuses on the problem of robust active control algorithm for the flexible air-breathing hypersonic flight vehicle in the presence of state, actuator constraints and input delays. Constraints in the model, as well as input time delays, are the highly challenging problem in the design of flight control system. Based on linear parameter varying (LPV) model obtained by Tensor-Product model transformation technology, a novel parameter dependent robust model predictive control (PD-RMPC) algorithm with explicit time-delay compensation is presented. Since developing the robust tracking controller with delay compensation, the proposed method is much less conservative and better performance. Finally, the numerical simulation results prove availability of the proposed method.
机译:本文着眼于状态,执行器约束和输入延迟存在的情况下,用于柔性呼吸高超音速飞行器的鲁棒主动控制算法问题。在飞行控制系统的设计中,模型的约束以及输入时延是极具挑战性的问题。基于Tensor-Product模型转换技术获得的线性参数变化(LPV)模型,提出了一种具有显式时滞补偿的新型参数依赖鲁棒模型预测控制(PD-RMPC)算法。由于开发了具有延迟补偿的鲁棒跟踪控制器,因此所提出的方法不那么保守,而且性能更好。最后,数值仿真结果证明了该方法的有效性。

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