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首页> 外文期刊>Aerospace science and technology >Fault-tolerant control for over-actuated hypersonic reentry vehicle subject to multiple disturbances and actuator faults
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Fault-tolerant control for over-actuated hypersonic reentry vehicle subject to multiple disturbances and actuator faults

机译：用于多次干扰和执行器故障的过度驱动的超音速再入式车辆的容错控制

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摘要

In this paper, a fault-tolerant control scheme is proposed for attitude tracking problem of hypersonic reentry vehicle subjected to multiple disturbances and time-varying actuator faults. For convenience of fault-tolerant controller design, conventional hypersonic reentry vehicle model is transformed into control-oriented model by incorporating actuator faults into lumped disturbance. Based on the lumped disturbance estimate provided by high order sliding mode observer, fault-tolerant controllers are developed within the frame of active disturbance rejection control in attitude loop and angular rate loop according to time-scale separation and singular perturbation principle. Then, the desired control moment is allocated to actuators based on recurrent neural network. With the well-designed fault-tolerant controllers and control allocation, a novel meta-heuristic dynamic adaptation salp swarm algorithm is employed to optimize control parameters to achieve minimum attitude tracking error. Comparative simulations are conducted to verify the effectiveness of the developed dynamic adaptation salp swarm algorithm and the investigated fault-tolerant control scheme. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译：本文提出了一种容错控制方案，用于对多扰动和时变致动器故障进行超声再入车辆的姿态跟踪问题。为便利性容错控制器设计，通过将致动器故障结合到集体干扰，传统的超音速再入式车辆模型转换为面向控制的模型。基于高阶滑模观测器提供的集总干扰估计，根据时间级分离和奇异扰动原理，在姿态环路和角速率环中的主动干扰抑制控制框架内开发出容错控制器。然后，基于经常性神经网络分配所需的控制力矩。通过设计良好的容错控制器和控制分配，采用了一种新颖的元启发式动态适应SALP群算法来优化控制参数以实现最小姿态跟踪误差。进行比较仿真以验证开发的动态适应SALP群算法的有效性和调查的容错控制方案。 （c）2019年Elsevier Masson SAS。版权所有。

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