当前位置: X-MOL 学术Eur. J. Control › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Learning-based Adaptive Fault Tolerant Control for Hypersonic Flight Vehicles with Abrupt Actuator Faults and Finite Time Prescribed Tracking Performance
European Journal of Control ( IF 2.5 ) Pub Date : 2021-01-02 , DOI: 10.1016/j.ejcon.2020.12.003
Supeng Zhu , Tao Xu , Caisheng Wei , Zheng Wang

This paper addresses the finite time prescribed performance control problem for hypersonic flight vehicle systems with abrupt actuator faults and time-varying uncertainties. The considered actuator faults contains abrupt gain faults and saltatorial bias faults, and the unknown discontinuous variations of the fault parameters are permitted. In virtue of the finite time performance functions and error transformation, the predefined tracking performance including the convergence time, the tracking error and the overshoot for the velocity and altitude can be ensured. By adaptively estimating the lower bonds of the gain faults and the upper bounds of the bias faults, the unwanted effects of the abruptly faulty actuators can be circumvented. Meanwhile, for the purpose of compensating the unknown nonlinearities, the learning-based control strategy has been employed. Finally, a number of simulation results on the hypersonic flight vehicles are conducted to demonstrate the validity of the proposed approach.



中文翻译:

具有突发执行器故障和有限时间规定跟踪性能的高超音速飞行器的基于学习的自适应容错控制

本文针对具有突然执行器故障和时变不确定性的高超音速飞行器系统,提出了有限时间规定的性能控制问题。所考虑的执行器故障包括突然的增益故障和盐度偏差故障,并且允许故障参数的未知不连续变化。借助有限的时间性能函数和误差变换,可以确保预定义的跟踪性能,包括收敛时间,跟踪误差以及速度和高度的过冲。通过自适应地估计增益故障的下限和偏置故障的上限,可以避免突然故障的执行器的不良影响。同时,为了补偿未知的非线性,基于学习的控制策略已被采用。最后,在高超音速飞行器上进行了许多仿真结果,以证明所提方法的有效性。

更新日期:2021-01-18
down
wechat
bug