Enhanced trajectory linearization control based advanced guidance and control for hypersonic reentry vehicle with multiple disturbances

Abstract In this paper, the guidance and control problem for hypersonic reentry vehicle (HRV) in the presence of control constraints and multiple disturbances is handled based on unified enhanced trajectory linearization control (TLC) framework under reference-tracking methodology. First, based on the nominal trajectory and open-loop command generated by Gauss pseudo-spectral method (GPM), a time-varying feedback guidance law with integral action is synthesized to stabilize the tracking error dynamics along the nominal trajectory under the framework of TLC. Second, to improve the robustness of attitude and angular rate loop, variations of various aerodynamic coefficients and external disturbances are considered as lumped uncertainties, reduced-order linear extended state observers (LESO) with given model information are constructed to estimate the lumped uncertainties in each loop, respectively. In addition, comparisons between the estimation efficiency of LESO and reduced-order LESO are carried out. Then augmented with the disturbance estimates and TLC control law, tracking errors of the rotational dynamics can be actively rejected without sacrificing nominal performances. More importantly, fewer control consumption and smooth transient performances are achieved by using nonlinear tracking differentiator (TD) in attitude loop. The stability of the resulting closed-loop system is well established based on Lyapunov stability theory. Finally, the effectiveness of the proposed advanced guidance and control strategy is verified through extensive simulations on the six-degree-of-freedom reentry flight.

[1]  Ping Lu,et al.  Predictor-Corrector Entry Guidance for Low-Lifting Vehicles , 2007 .

[2]  David B. Doman,et al.  Adaptive Terminal Guidance for Hypervelocity Impact in Specified Direction , 2005 .

[3]  Yong Liu,et al.  Singular Perturbation Analysis for Trajectory Linearization Control , 2007, 2007 American Control Conference.

[4]  Honglun Wang,et al.  A Novel Method of Robust Trajectory Linearization Control Based on Disturbance Rejection , 2014 .

[5]  Yong Liu,et al.  Adaptive Neural Network Control Based on Trajectory Linearization Control , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[6]  Jiang Chang-sheng,et al.  Trajectory linearization control of an aerospace vehicle based on RBF neural network , 2008 .

[7]  Ping Lu,et al.  Entry Guidance: A Unified Method , 2014 .

[8]  J. Jim Zhu,et al.  X-33 Ascent Flight Controller Design by Trajectory Linearization: A Singular Perturbational Approach , 2000 .

[9]  Jiang Chang-sheng,et al.  Research of robust adaptive trajectory linearization control based on T-S fuzzy system , 2008 .

[10]  S. Bharadwaj,et al.  ENTRY TRAJECTORY TRACKING LAW VIA FEEDBACK LINEARIZATION , 1998 .

[11]  P. Lu,et al.  Constrained Predictor-Corrector Entry Guidance , 2009 .

[12]  Hyochoong Bang,et al.  Adaptive Backstepping Control Based Autopilot Design for Reentry Vehicle , 2004 .

[13]  Yuri B. Shtessel,et al.  Sliding Mode Disturbance Observer-Based Control for a Reusable Launch Vehicle , 2005 .

[14]  Jingqing Han,et al.  From PID to Active Disturbance Rejection Control , 2009, IEEE Trans. Ind. Electron..

[15]  Wenchao Xue,et al.  Active disturbance rejection control: methodology and theoretical analysis. , 2014, ISA transactions.

[16]  I. Michael Ross,et al.  Costate Estimation by a Legendre Pseudospectral Method , 1998 .

[17]  Fariba Fahroo,et al.  Optimal feedback control laws by Legendre pseudospectral approximations , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[18]  Ping Lu,et al.  Gliding Guidance of High L/D Hypersonic Vehicles , 2013 .

[19]  Chee Khiang Pang,et al.  Special Issue on “Distributed and Networked Control Systems” , 2015 .

[20]  Erwin Mooij,et al.  The motion of a vehicle in a planetary atmosphere , 1994 .

[21]  Xianxiang Chen,et al.  Flight control system design for hypersonic reentry vehicle based on LFT–LPV method , 2014 .

[22]  Greg A. Dukeman,et al.  Profile-Following Entry Guidance Using Linear Quadratic Regulator Theory , 2002 .

[23]  Honglun Wang,et al.  Active disturbance rejection based trajectory linearization control for hypersonic reentry vehicle with bounded uncertainties. , 2015, ISA transactions.

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

[25]  Shao Xingling,et al.  Trajectory Linearization Control Based Output Tracking Method for Nonlinear Uncertain System Using Linear Extended State Observer , 2016 .

[26]  Panagiotis Tsiotras,et al.  A State-Dependent Riccati Equation Approach to Atmospheric Entry Guidance , 2010 .