Sliding mode decoupling control of a generic hypersonic vehicle based on parametric commands

A sliding mode decoupling attitude controller based on parametric commands is proposed for a generic hypersonic vehicle (GHV). This vehicle model has fast time variability and strong coupling, is highly nonlinear, and includes uncertain parameters. The design of the controller takes these features into account. First, for the purpose of decoupling, the inner loop of the controller is designed using the dynamic inversion (DI) method. Input/output linearization is achieved using full-state feedback to globally linearize the nonlinear dynamics of selected controlled outputs. Second, to improve the robustness of the attitude control system, the sliding mode control (SMC) method is used to design the outer loop of the controller. Although the DI and SMC methods result in decoupling and robustness, there exists serious inconsistency between the commands of the attitude angles and the commands of the first-order differential of the attitude angles. To solve this problem and achieve a trade-off between dynamic response speed and attitude-tracking precision, we propose a parametric method for calculating the commands of the first-order differential of the attitude angles. Finally, simulation studies are conducted for the trimmed cruise conditions of 33.5 km altitude and Mach 15, and the responses of the vehicle to the step commands of pitch angle, yaw angle, and rolling angle are examined. The simulation studies demonstrate that the proposed controller is robust with respect to the uncertain parameters and atmospheric disturbance and meets the performance requirements of the GHV with acceptable control inputs.

[1]  Kevin A. Wise,et al.  Flight Testing of Reconfigurable Control Law on the X-36 Tailless Aircraft , 2001 .

[2]  Lockheed Martin,et al.  Robust Nonlinear Dynamic Inversion Control for a Hypersonic Cruise Vehicle , 2007 .

[3]  Shahriar Keshmiri,et al.  Six -DOF Modeling and Simulation of a Generic Hypersonic Vehicle for Conceptual Design Studies , 2004 .

[4]  Changyin Sun,et al.  Robust adaptive integral-sliding-mode fault-tolerant control for airbreathing hypersonic vehicles , 2012, J. Syst. Control. Eng..

[5]  Yuri B. Shtessel,et al.  Integrated Higher-Order Sliding Mode Guidance and Autopilot for Dual Control Missiles , 2009 .

[6]  Junichiro Kawaguchi,et al.  Stochastic evaluation and optimization of the hierarchy-structured dynamic inversion flight control , 2009 .

[7]  Jiang Li,et al.  Fuzzy dynamic characteristic model based attitude control of hypersonic vehicle in gliding phase , 2011, Science China Information Sciences.

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

[9]  Ping Lu,et al.  Entry Guidance for the X-33 Vehicle , 1998 .

[10]  Youdan Kim,et al.  Adaptive Sliding Mode Controller Design for Fault Tolerant Flight Control System , 2006 .

[11]  S. N. Balakrishnan,et al.  Reentry Terminal Guidance Through Sliding Mode Control , 2010 .

[12]  Youmin Zhang,et al.  Adaptive Sliding Mode Fault Tolerant Control of Civil Aircraft With Separated Uncertainties , 2010 .

[13]  Xu Bin,et al.  Adaptive neural control based on HGO for hypersonic flight vehicles , 2011 .

[14]  Petros A. Ioannou,et al.  Robust Neural Adaptive Control of a Hypersonic Aircraft , 2003 .

[15]  Sahjendra N. Singh,et al.  Adaptive Sliding Mode 3-D Trajecotory Control of F/A-18 Model Via SDU Decomposition , 2008 .

[16]  Jan Albert Mulder,et al.  Reentry Flight Controller Design Using Nonlinear Dynamic Inversion , 2003 .

[17]  Li Hui-feng,et al.  Index approach law based sliding control for a hypersonic aircraft , 2008, 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics.

[18]  Petros A. Ioannou,et al.  Adaptive Sliding Mode Control Design fo ra Hypersonic Flight Vehicle , 2004 .

[19]  Wu Jie,et al.  Nonlinear hierarchy-structured predictive control design for a generic hypersonic vehicle , 2013 .

[20]  Zhongxi Hou,et al.  Phugoid dynamic characteristic of hypersonic gliding vehicles , 2011, Science China Information Sciences.

[21]  Shahriar Keshmiri,et al.  Six DoF Nonlinear Equations of Motion for a Generic Hypersonic Vehicle , 2007 .

[22]  Yuri B. Shtessel,et al.  Launch Vehicle Attitude Control Using Higher Order Sliding Modes , 2010 .

[23]  Kenneth Bordignon,et al.  Control Allocation for the X-35B , 2002 .

[24]  Ping Lin,et al.  Control-oriented Modeling for Air-breathing Hypersonic Vehicle Using Parameterized Configuration Approach , 2011 .

[25]  Shahriar Keshmiri,et al.  Six -DOF Modeling and Simulation of a Generic Hypersonic Vehicle for Control and Navigation Purposes , 2006 .

[26]  Shixing Wang,et al.  Adaptive neural control based on HGO for hypersonic flight vehicles , 2011, Science China Information Sciences.

[27]  C. I. Cruz,et al.  Hypersonic vehicle simulation model: Winged-cone configuration , 1990 .

[28]  Li Wang,et al.  Slow–fast loop gain-scheduled switching attitude tracking control for a near-space hypersonic vehicle , 2013, J. Syst. Control. Eng..

[29]  Yao Zhang,et al.  Output feedback control of hypersonic vehicles based on neural network and high gain observer , 2011, Science China Information Sciences.

[30]  Mingliang Xu,et al.  Quasi-equilibrium glide adaptive guidance for hypersonic vehicles , 2012 .

[31]  Zengqi Sun,et al.  Fuzzy tracking control design for hypersonic vehicles via T-S model , 2011, Science China Information Sciences.

[32]  William L. Garrard,et al.  Nonlinear inversion flight control for a supermaneuverable aircraft , 1992 .

[33]  Robert F. Stengel,et al.  Robust Nonlinear Control of a Hypersonic Aircraft , 1999 .