Artificial Time Delay based Adaptive Robust Fault Tolerant Control for RLV During Re-entry Phase

This paper considers attitude tracking problem of a reusable launch vehicle (RLV) in its re-entry phase. The complex environmental conditions and highly nonlinear coupled dynamics impose a challenging task to regulate the spacecraft to follow a desired trajectory. In this paper, an artificial time-delay based control (TDC) scheme is implemented to incorporate robustness against system uncertainties, external disturbances and actuator faults. The time-delay approach uses input and output measurements from the past instant to estimate uncertainties effecting the system. Lyapunov stability is conducted to show that with the proposed control scheme uniformly ultimately bounded (UUB) convergence of system states under bounded estimation error is ensured. To further improve the performance, a switching law is augmented with the TDC. Additionally, a dual-rate adaption law for switching gain has also been exploited to prevent over and under estimation. The effectiveness of the proposed control scheme is verified through simulation results which shows robust tracking of the desired trajectory.

[1]  Jiayuan Shan,et al.  Smooth second-order nonsingular terminal sliding mode control for reusable launch vehicles , 2014, Int. J. Intell. Comput. Cybern..

[2]  Q. Zong,et al.  Optimal guidance for reentry vehicles based on indirect Legendre pseudospectral method , 2011 .

[3]  Jie Guo,et al.  Adaptive-gain fast super-twisting sliding mode fault tolerant control for a reusable launch vehicle in reentry phase. , 2017, ISA transactions.

[4]  Qun Zong,et al.  Nonsingular terminal sliding mode control for reusable launch vehicle with atmospheric disturbances , 2018 .

[5]  Wenxing Fu,et al.  Neural adaptive control of hypersonic aircraft with actuator fault using randomly assigned nodes , 2016, Neurocomputing.

[6]  Qun Zong,et al.  Multivariable supertwisting fixed‐time approach for RLV re‐entry attitude control , 2018, International Journal of Robust and Nonlinear Control.

[7]  Ruiyun Qi,et al.  Adaptive backstepping control for a hypersonic vehicle with uncertain parameters and actuator faults , 2013, J. Syst. Control. Eng..

[8]  Liang Zhang,et al.  Adaptive fault-tolerant control for a VTVL reusable launch vehicle , 2019 .

[9]  Indra Narayan Kar,et al.  A Double-Layered Artificial Delay-Based Approach for Maneuvering Control of Planar Snake Robots , 2019 .

[10]  Maolin Jin,et al.  Adaptive-Robust Time-Delay Control for a Class of Uncertain Euler–Lagrange Systems , 2017, IEEE Transactions on Industrial Electronics.

[11]  Anil V. Rao,et al.  GPOPS-II , 2014, ACM Trans. Math. Softw..

[12]  Jinoh Lee,et al.  An experimental study on time delay control of actuation system of tilt rotor unmanned aerial vehicle , 2012 .

[13]  Tien C. Hsia,et al.  Robot manipulator control using decentralized linear time-invariant time-delayed joint controllers , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[14]  Kevin P. Bollino High-fidelity real-time trajectory optimization for reusable launch vehicles , 2006 .

[15]  Indra Narayan Kar,et al.  Adaptive-Robust Control of uncertain Euler-Lagrange systems with past data: A time-delayed approach , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[16]  Fang Wang,et al.  Quasi-continuous high-order sliding mode controller design for reusable launch vehicles in reentry phase , 2013 .