Xingling Shao, Honglun Wang
Unmanned Aerial Vehicle Research Institute, Beijing University of Aeronautics and Astronautics, Beijing 100191, China; Science and Technology on Aircraft Control Laboratory, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
ISA Trans. 2014 Nov;53(6):1771-86. doi: 10.1016/j.isatra.2014.09.021. Epub 2014 Oct 28.
This paper proposes a novel hybrid control framework by combing observer-based sliding mode control (SMC) with trajectory linearization control (TLC) for hypersonic reentry vehicle (HRV) attitude tracking problem. First, fewer control consumption is achieved using nonlinear tracking differentiator (TD) in the attitude loop. Second, a novel SMC that employs extended disturbance observer (EDO) to counteract the effect of uncertainties using a new sliding surface which includes the estimation error is integrated to address the tracking error stabilization issues in the attitude and angular rate loop, respectively. In addition, new results associated with EDO are examined in terms of dynamic response and noise-tolerant performance, as well as estimation accuracy. The key feature of the proposed compound control approach is that chattering free tracking performance with high accuracy can be ensured for HRV in the presence of multiple uncertainties under control constraints. Based on finite time convergence stability theory, the stability of the resulting closed-loop system is well established. Also, comparisons and extensive simulation results are presented to demonstrate the effectiveness of the control strategy.
本文提出了一种新颖的混合控制框架，通过将基于观测器的滑模控制（SMC）与轨迹线性化控制（TLC）相结合，来解决高超声速再入飞行器（HRV）的姿态跟踪问题。首先，在姿态回路中使用非线性跟踪微分器（TD）实现了较少的控制消耗。其次，一种新颖的滑模控制被集成进来，该控制采用扩展干扰观测器（EDO），利用包含估计误差的新滑模面来抵消不确定性的影响，分别解决姿态和角速率回路中的跟踪误差稳定问题。此外，从动态响应、抗噪性能以及估计精度方面研究了与扩展干扰观测器相关的新结果。所提出的复合控制方法的关键特性在于，在控制约束下存在多种不确定性的情况下，能够确保高超声速再入飞行器实现无抖振的高精度跟踪性能。基于有限时间收敛稳定性理论，建立了所得闭环系统的稳定性。同时，给出了对比和大量仿真结果，以证明该控制策略的有效性。
