Fault-tolerant anti-windup control for hypersonic vehicles in reentry based on ISMDO

Abstract Due to the extreme large flight scale of Hypersonic Vehicle (HSV), the system inevitably possesses strong nonlinearity, coupling, fast time-variability and is also sensitive to disturbance and fault. The method of external anti-windup system combined with the terminal sliding mode control law (TSMC) is presented for the nonlinear control problem under the restriction of control surfaces for HSV. It can realize the compensation for the control surface saturation and let the HSV smoothly track the command signals. Then, the improved sliding mode disturbance observer (ISMDO) is proposed to estimate unknown parameters and strong external disturbance as well as the unknown actuator fault. This method does not need the information of disturbance and the fault bounds and has fewer learning parameters, which makes it suitable for the real-time control. Finally, the simulation test of attitude control for the reentry HSV is conducted, and the results show the effectiveness and robustness of the proposed scheme.

[1]  Ruiyun Qi,et al.  Adaptive output feedback fault-tolerant control design for hypersonic flight vehicles , 2015, J. Frankl. Inst..

[2]  Ju H. Park,et al.  Adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer , 2013, Appl. Math. Comput..

[3]  Guido Herrmann,et al.  Anti‐windup synthesis for nonlinear dynamic inversion control schemes , 2010 .

[4]  Che Jun,et al.  Comparison on the anti-windup control methods of air-breathing hypersonic vehicle , 2014, Proceedings of the 33rd Chinese Control Conference.

[5]  Peng Shi,et al.  Fault-tolerant control design for near-space vehicles based on a dynamic terminal sliding mode technique , 2012, J. Syst. Control. Eng..

[6]  M. Staroswiecki,et al.  Fault estimation in nonlinear uncertain systems using robust/sliding-mode observers , 2004 .

[7]  Hongwei Xia,et al.  Barrier Lyapunov function-based adaptive control for hypersonic flight vehicles , 2017, Nonlinear Dynamics.

[8]  Hamid Reza Karimi,et al.  Adaptive Sliding Mode Control for Takagi–Sugeno Fuzzy Systems and Its Applications , 2018, IEEE Transactions on Fuzzy Systems.

[9]  A. Bacciotti,et al.  Liapunov functions and stability in control theory , 2001 .

[10]  Yonggui Kao,et al.  H∞ sliding mode control for uncertain neutral-type stochastic systems with Markovian jumping parameters , 2015, Inf. Sci..

[11]  Vincent Cocquempot,et al.  Fuzzy Logic System-Based Adaptive Fault-Tolerant Control for Near-Space Vehicle Attitude Dynamics With Actuator Faults , 2013, IEEE Transactions on Fuzzy Systems.

[12]  Liu Xiangjie Continuous-time nonlinear model predictive control with input/output linearization , 2012 .

[13]  Yonggui Kao,et al.  A sliding mode approach to robust stabilisation of Markovian jump linear time-delay systems with generally incomplete transition rates , 2015 .

[14]  Zhang Jun The Research of SMDO based NGPC Method for NSV Control System , 2010 .

[15]  Hamid Reza Karimi,et al.  Model predictive control-based non-linear fault tolerant control for air-breathing hypersonic vehicles , 2014 .

[16]  Peng Shi,et al.  Robust NSV Fault-Tolerant Control System Design Against Actuator Faults and Control Surface Damage Under Actuator Dynamics , 2015, IEEE Transactions on Industrial Electronics.

[17]  都延丽,et al.  Adaptive Reentry Control for Hypersonic Vehicles with Saturation , 2015 .

[18]  David B. Doman,et al.  Combined Reference Governor and Anti-windup Design for Constrained Hypersonic Vehicles Models , 2009 .

[19]  Jaime A. Moreno,et al.  Strict Lyapunov Functions for the Super-Twisting Algorithm , 2012, IEEE Transactions on Automatic Control.

[20]  Xiang Jinwu Uncertainty Analysis of Flight Dynamic Characteristics for Hypersonic Vehicles , 2013 .

[21]  Faryar Jabbari,et al.  Combining Anti-Windup and Over-Saturation , 2007 .

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

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

[24]  Hamid Reza Karimi,et al.  Fuzzy Reliable Tracking Control for Flexible Air-breathing Hypersonic Vehicles , 2011 .

[25]  Jesús Picó,et al.  Stability preserving maps for finite-time convergence: Super-twisting sliding-mode algorithm , 2013, Autom..

[26]  Jaime A. Moreno,et al.  A Lyapunov approach to second-order sliding mode controllers and observers , 2008, 2008 47th IEEE Conference on Decision and Control.

[27]  Yonggui Kao,et al.  A sliding mode approach to H∞ non-fragile observer-based control design for uncertain Markovian neutral-type stochastic systems , 2015, Autom..

[28]  Huang Jin-feng A new double power reaching law for sliding mode control , 2013 .

[29]  Ligang Wu,et al.  Approximate Back-Stepping Fault-Tolerant Control of the Flexible Air-Breathing Hypersonic Vehicle , 2016, IEEE/ASME Transactions on Mechatronics.

[30]  Mohamed Chemachema,et al.  Output feedback direct adaptive neural network control for uncertain SISO nonlinear systems using a fuzzy estimator of the control error , 2012, Neural Networks.

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

[32]  Xinghuo Yu,et al.  Fast terminal sliding-mode control design for nonlinear dynamical systems , 2002 .

[33]  Hamid Reza Karimi,et al.  Adaptive sliding mode reliable control for switched systems with actuator degradation , 2015 .

[34]  Liu Jin-ku Anti-windup control based on LMI and vibration suppression for the flexible spacecraft , 2014 .