Second-Order Sliding Mode Disturbance Observer-Based Adaptive Fuzzy Tracking Control for Near-Space Vehicles with Prescribed Tracking Performance

An adaptive fuzzy fault-tolerant tracking controller is developed for Near-Space Vehicles (NSVs) suffering from quickly varying uncertainties and actuator faults. For the purpose of estimating and compensating the mismatched external disturbances and modeling errors, a second-order sliding mode disturbance observer (SOSMDO) is constructed. By introducing the norm estimation approach, the negative effects of the quickly varying multiple matched disturbances can be handled. Meanwhile, a hierarchical fuzzy system (HFS) is employed to approximate and compensate the unknown nonlinearities. Several performance functions are introduced and the original system is transformed into one incorporating the desired performance criteria. Then, an adaptive fuzzy tracking control structure is established for the transformed system, and the predefined transient tracking performance can be guaranteed. The rigorous stability of the closed-loop system is proved by using the Lyapunov method. Finally, simulation results are presented to illustrate the effectiveness of the proposed control scheme.

[1]  Wen-Qin Wang,et al.  Near-space vehicles: Supply a gap between satellites and airplanes for remote sensing , 2011, IEEE Aerospace and Electronic Systems Magazine.

[2]  Charalampos P. Bechlioulis,et al.  Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance , 2008, IEEE Transactions on Automatic Control.

[3]  C. D. Johnson,et al.  Accomodation of external disturbances in linear regulator and servomechanism problems , 1971 .

[4]  Peter J. Gawthrop,et al.  A nonlinear disturbance observer for robotic manipulators , 2000, IEEE Trans. Ind. Electron..

[5]  Zhaohua Yang,et al.  Disturbance-observer based control for magnetically suspended wheel with synchronous noise , 2018 .

[6]  Wei Wang,et al.  Adaptive actuator failure compensation control of uncertain nonlinear systems with guaranteed transient performance , 2010, Autom..

[7]  Wan Kyun Chung,et al.  A discrete-time design and analysis of perturbation observer , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[8]  Li-Xin Wang,et al.  Analysis and design of hierarchical fuzzy systems , 1999, IEEE Trans. Fuzzy Syst..

[9]  Seiichiro Katsura,et al.  An Adaptive Periodic-Disturbance Observer for Periodic-Disturbance Suppression , 2018, IEEE Transactions on Industrial Informatics.

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

[11]  Mou Chen,et al.  Disturbance observer-based adaptive sliding mode control for near-space vehicles , 2015, Nonlinear Dynamics.

[12]  Jie Wen,et al.  Adaptive functional link network control of near-space vehicles with dynamical uncertainties , 2010 .

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

[14]  Lei Guo,et al.  Anti-disturbance control theory for systems with multiple disturbances: a survey. , 2014, ISA transactions.

[15]  Ligang Wu,et al.  Disturbance Observer-Based Antiwindup Control for Air-Breathing Hypersonic Vehicles , 2016, IEEE Transactions on Industrial Electronics.

[16]  Richard Stobart,et al.  Design of UDE‐based controllers from their two‐degree‐of‐freedom nature , 2011 .

[17]  Jianping Yuan,et al.  Adaptive neural control for high order Markovian jump nonlinear systems with unmodeled dynamics and dead zone inputs , 2017, Neurocomputing.

[18]  Vadim I. Utkin,et al.  A control engineer's guide to sliding mode control , 1999, IEEE Trans. Control. Syst. Technol..

[19]  Bin Jiang,et al.  Robust control of near-space vehicles with input backlash-like hysteresis , 2013, J. Syst. Control. Eng..

[20]  Petros A. Ioannou,et al.  Robust adaptive control for a class of MIMO nonlinear systems with guaranteed error bounds , 2003, IEEE Trans. Autom. Control..

[21]  Seung-Bok Choi,et al.  A new fuzzy-disturbance observer-enhanced sliding controller for vibration control of a train-car suspension with magneto-rheological dampers , 2018 .

[22]  Panfeng Huang,et al.  Approaching control for tethered space robot based on disturbance observer using super twisting law , 2018 .

[23]  Wan Kyun Chung,et al.  A discrete-time design and analysis of perturbation observer for motion control applications , 2003, IEEE Trans. Control. Syst. Technol..

[24]  Jianping Yuan,et al.  Adaptive output feedback disturbance attenuation control for nonlinear systems with non-harmonic multisource disturbances , 2017 .

[25]  Cheng Lu New Fast Terminal Sliding Mode and Its Application to Near Space Vehicles , 2011 .

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

[27]  Daero Lee,et al.  Nonlinear disturbance observer-based robust control for spacecraft formation flying , 2018 .

[28]  Charalampos P. Bechlioulis,et al.  Robust Partial-State Feedback Prescribed Performance Control of Cascade Systems With Unknown Nonlinearities , 2011, IEEE Transactions on Automatic Control.

[29]  Jianping Yuan,et al.  Robust estimation‐free decentralized prescribed performance control of nonaffine nonlinear large‐scale systems , 2018 .

[30]  Lei Guo,et al.  Disturbance-Observer-Based Control and Related Methods—An Overview , 2016, IEEE Transactions on Industrial Electronics.

[31]  Yu-Shen Lu,et al.  Non-overshooting PI control of variable-speed motor drives with sliding perturbation observers , 2005 .

[32]  Peng Shi,et al.  Extended sliding mode observer based control for Markovian jump linear systems with disturbances , 2016, Autom..

[33]  Dianguo Xu,et al.  Static-Errorless Deadbeat Predictive Current Control Using Second-Order Sliding-Mode Disturbance Observer for Induction Machine Drives , 2018, IEEE Transactions on Power Electronics.

[34]  Bin Jiang,et al.  Robust attitude control of near space vehicles with time-varying disturbances , 2013 .

[35]  C. Johnson Optimal control of the linear regulator with constant disturbances , 1968 .

[36]  Jianping Yuan,et al.  Non-linear disturbance observer-based adaptive composite anti-disturbance control for non-linear systems with dynamic non-harmonic multisource disturbances , 2018 .

[37]  Yu-Sheng Lu,et al.  Sliding-Mode Disturbance Observer With Switching-Gain Adaptation and Its Application to Optical Disk Drives , 2009, IEEE Transactions on Industrial Electronics.

[38]  Salvatore Strano,et al.  Sliding-mode observers for state and disturbance estimation in electro-hydraulic systems , 2018 .

[39]  Daigoro Ito,et al.  AIAA 2001-4380 Robust Dynamic Inversion Controller Design and Analysis for the X-38 , 2001 .

[40]  Jianping Yuan,et al.  Adaptive model-free constrained control of postcapture flexible spacecraft: a Euler–Lagrange approach , 2018 .