Active disturbance rejection based trajectory linearization control for hypersonic reentry vehicle with bounded uncertainties.

This paper investigates a novel compound control scheme combined with the advantages of trajectory linearization control (TLC) and alternative active disturbance rejection control (ADRC) for hypersonic reentry vehicle (HRV) attitude tracking system with bounded uncertainties. Firstly, in order to overcome actuator saturation problem, nonlinear tracking differentiator (TD) is applied in the attitude loop to achieve fewer control consumption. Then, linear extended state observers (LESO) are constructed to estimate the uncertainties acting on the LTV system in the attitude and angular rate loop. In addition, feedback linearization (FL) based controllers are designed using estimates of uncertainties generated by LESO in each loop, which enable the tracking error for closed-loop system in the presence of large uncertainties to converge to the residual set of the origin asymptotically. Finally, the compound controllers are derived by integrating with the nominal controller for open-loop nonlinear system and FL based controller. Also, comparisons and simulation results are presented to illustrate the effectiveness of the control strategy.

[1]  J. Jim Zhu,et al.  6DOF flight control of fixed-wing aircraft by Trajectory Linearization , 2011, Proceedings of the 2011 American Control Conference.

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

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

[4]  Bo Li,et al.  Robust attitude control design for spacecraft under assigned velocity and control constraints. , 2013, ISA transactions.

[5]  Lei Guo,et al.  Control of a class of nonlinear uncertain systems by combining state observers and parameter estimators , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[6]  Huo Wei,et al.  Adaptive Trajectory Linearization Control for a model-scaled helicopter with uncertain inertial parameters , 2012, Proceedings of the 31st Chinese Control Conference.

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

[8]  Zhiqiang Gao,et al.  Scaling and bandwidth-parameterization based controller tuning , 2003, Proceedings of the 2003 American Control Conference, 2003..

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

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

[11]  Zhiqiang Gao,et al.  On Validation of Extended State Observer Through Analysis and Experimentation , 2012 .

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

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

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

[15]  Euntai Kim,et al.  A fuzzy disturbance observer and its application to control , 2002, IEEE Trans. Fuzzy Syst..

[16]  J. Jim Zhu,et al.  Guidance, Navigation, and Control System Design for Tripropeller Vertical-Take-Off-and-Landing Unmanned Air Vehicle , 2009 .

[17]  Obaid Ur Rehman,et al.  Uncertainty modeling and robust minimax LQR control of multivariable nonlinear systems with application to hypersonic flight , 2012 .

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

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

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