Finite-time nonsingular terminal sliding mode control-based fuzzy smooth-switching coordinate strategy for AHV-VGI

Abstract This paper presents a fuzzy smooth-switching coordinate strategy for air-breathing hypersonic vehicle with variable geometry scramjet inlet (AHV-VGI), which can improve the aerodynamic performance of hypersonic vehicle by moving the movable lip to capture more airflow. The longitudinal model of AHV-VGI is firstly formulated, followed by a strict feedback form model. Wherein, the multiple nonlinear aerodynamic models are established with different elongation distance of translating cowl. Secondly, a finite-time nonsingular terminal sliding mode control (NTSMC) method is introduced to develop velocity and altitude subsystem controllers for each model. After that, an interval type-2 fuzzy logic system technique is employed to guarantee the smoothness during switching process between the adjacent NTSMC controllers. Furthermore, the Lyapunov function combined with adaptive laws are constructed to prove the finite-time stability of the closed-looped switching system. Finally, simulation results are provided to validate the effectiveness of these theoretical results.

[1]  Michael A. Bolender,et al.  A Non-Linear Model for the Longitudinal Dynamics of a Hypersonic Air-breathing Vehicle , 2005 .

[2]  Hani Hagras,et al.  Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification , 2017, IEEE Transactions on Fuzzy Systems.

[3]  Yueneng Yang,et al.  A time-specified nonsingular terminal sliding mode control approach for trajectory tracking of robotic airships , 2018 .

[4]  Yong Wang,et al.  Nonsingular Terminal Sliding Mode Based Trajectory Tracking Control of an Autonomous Surface Vehicle with Finite-Time Convergence , 2017, ISNN.

[5]  Huai-Ning Wu,et al.  Disturbance observer based reliable H ∞ fuzzy attitude tracking control for Mars entry vehicles with actuator failures , 2018, Aerospace Science and Technology.

[6]  Zhongke Shi,et al.  Composite fuzzy control of a class of uncertain nonlinear systems with disturbance observer , 2015 .

[7]  Bin Xu,et al.  Two controller designs of hypersonic flight vehicle under actuator dynamics and AOA constraint , 2018 .

[8]  Daniel Liberzon,et al.  Switching in Systems and Control , 2003, Systems & Control: Foundations & Applications.

[9]  Zhengtao Ding,et al.  Modeling and switching control of air-breathing hypersonic vehicle with variable geometry inlet , 2018, J. Frankl. Inst..

[10]  Fang Wang,et al.  Robust adaptive dynamic surface control design for a flexible air-breathing hypersonic vehicle with input constraints and uncertainty , 2014 .

[11]  Changyin Sun,et al.  Second-order terminal sliding mode control for hypersonic vehicle in cruising flight with sliding mode disturbance observer , 2013 .

[12]  Zhengtao Ding,et al.  Attitude controller design for reusable launch vehicles during reentry phase via compound adaptive fuzzy H-infinity control , 2018 .

[13]  A. Serrani,et al.  Nonlinear Robust Adaptive Control of Flexible Air-Breathing Hypersonic Vehicles , 2009 .

[14]  Hicham Chaoui,et al.  Adaptive Interval Type-2 Fuzzy Logic Control for PMSM Drives With a Modified Reference Frame , 2017, IEEE Transactions on Industrial Electronics.

[15]  Zhihong Man,et al.  Non-singular terminal sliding mode control of rigid manipulators , 2002, Autom..

[16]  Qi Zhang,et al.  Neural network based dynamic surface control of hypersonic flight dynamics using small-gain theorem , 2016, Neurocomputing.

[17]  D. Scherrer,et al.  French Hypersonic Propulsion Program PREPHA - Results, lessons and perspectives , 1998 .

[18]  Li-Xin Wang Stable adaptive fuzzy control of nonlinear systems , 1993, IEEE Trans. Fuzzy Syst..

[19]  Dennis S. Bernstein,et al.  Finite-Time Stability of Continuous Autonomous Systems , 2000, SIAM J. Control. Optim..

[20]  Liqian Dou,et al.  Analysis of the impact of translating cowl on hypersonic vehicle performance , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

[21]  Bin Xu,et al.  Robust Adaptive Fuzzy Control for HFV With Parameter Uncertainty and Unmodeled Dynamics , 2018, IEEE Transactions on Industrial Electronics.

[22]  Baris Fidan,et al.  Sliding mode disturbance observer-enhanced adaptive control for the air-breathing hypersonic flight vehicle , 2017 .

[23]  Maria Letizia Corradini,et al.  Nonsingular terminal sliding-mode control of nonlinear planar systems with global fixed-time stability guarantees , 2018, Autom..

[24]  David B. Doman,et al.  Nonlinear Longitudinal Dynamical Model of an Air-Breathing Hypersonic Vehicle , 2007 .

[25]  Fang Wang,et al.  Robust adaptive backstepping control for an uncertain nonlinear system with input constraint based on Lyapunov redesign , 2017 .

[26]  Qun Zong,et al.  Reentry attitude control for a reusable launch vehicle with aeroservoelastic model using type‐2 adaptive fuzzy sliding mode control , 2018 .

[27]  M. P. Aghababa,et al.  Finite-time synchronization of two different chaotic systems with unknown parameters via sliding mode technique , 2011 .

[28]  Renuganth Varatharajoo,et al.  Nonsingular terminal sliding mode control technique for attitude tracking problem of a small satellite with combined energy and attitude control system (CEACS) , 2018 .

[29]  Tetsuya Sato,et al.  Development study on axisymmetric air inlet for ATREX engine , 2001 .

[30]  Zhengtao Ding,et al.  Modeling and nonlinear control for air-breathing hypersonic vehicle with variable geometry inlet , 2017 .

[31]  Robert Ivor John,et al.  Learning of interval and general type-2 fuzzy logic systems using simulated annealing: Theory and practice , 2016, Inf. Sci..

[32]  Changchun Hua,et al.  Attitude control of reusable launch vehicle in reentry phase with input constraint via robust adaptive backstepping control , 2015 .

[33]  Bin Xu,et al.  Composite Learning Finite-Time Control With Application to Quadrotors , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[34]  Fang Wang,et al.  Adaptive Backstepping Finite Time Attitude Control of Reentry RLV with Input Constraint , 2014 .

[35]  Mohamed S. Kamel,et al.  Adaptive mode switching of hypersonic morphing aircraft based on type-2 TSK fuzzy sliding mode control , 2015, Science China Information Sciences.

[36]  Christian Breitsamter,et al.  Nonlinear identification via connected neural networks for unsteady aerodynamic analysis , 2018, Aerospace Science and Technology.

[37]  Bin Xu,et al.  Robust adaptive neural control of flexible hypersonic flight vehicle with dead-zone input nonlinearity , 2015 .