Adaptive neural dynamic sutface control of a stratosphetic airship with time-varying full state constraints and disturbances

This paper investigates the attitude tracking control of a stratospheric airship with unmodeled dynamics, external disturbances and full state constraints. The dynamic surface control is established to reduce the complex computational caused by the differential of virtual control laws. A new adaptive law of radial basis function neural networks (RBFNNs) is proposed to approximate the unmodeled dynamics. The nonlinear disturbance observer (NDOB) is designed to estimate unknown external disturbances. The asymmetric time-varying barrier Lyapunov function (ATBLF) is established to prevent the asymmetric time-varying full state constraints are overstepped. The simulation for stratospheric airship are given to verify the effectiveness of the developed control scheme.

[1]  Francis Eng Hock Tay,et al.  Barrier Lyapunov Functions for the control of output-constrained nonlinear systems , 2009, Autom..

[2]  Bin Jiang,et al.  Adaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer , 2017, IEEE Transactions on Cybernetics.

[3]  Rong Li,et al.  Adaptive neural tracking control for uncertain nonlinear systems with input and output constraints using disturbance observer , 2017, Neurocomputing.

[4]  Shuzhi Sam Ge,et al.  Adaptive neural control of uncertain MIMO nonlinear systems , 2004, IEEE Transactions on Neural Networks.

[5]  Shihua Li,et al.  Non-linear disturbance observer-based robust control for systems with mismatched disturbances/uncertainties , 2011 .

[6]  Shuzhi Sam Ge,et al.  Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints , 2011, Autom..

[7]  R. Mahony,et al.  Integrator Backstepping using Barrier Functions for Systems with Multiple State Constraints , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[8]  Maarouf Saad,et al.  Robust adaptive path-following control of underactuated marine vessel with off-track error constraint , 2018, Int. J. Syst. Sci..

[9]  Yueying Wang,et al.  Finite time attitude tracking control of an autonomous airship , 2018 .

[10]  Wei Zheng,et al.  Positioning control for an unmanned airship using sliding mode control based on fuzzy approximation , 2014 .

[11]  Chunsheng Liu,et al.  Backstepping-based adaptive dynamic programming for missile-target guidance systems with state and input constraints , 2018, J. Frankl. Inst..

[12]  Xinjun Wang,et al.  Disturbance observer based adaptive neural control of uncertain MIMO nonlinear systems with unmodeled dynamics , 2018, Neurocomputing.

[13]  Lihua Xie,et al.  Finite-time path following control for a stratospheric airship with input saturation and error constraint , 2019, Int. J. Control.

[14]  Keng Peng Tee,et al.  Control of nonlinear systems with time-varying output constraints , 2009, 2009 IEEE International Conference on Control and Automation.

[15]  Keng Peng Tee,et al.  Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function , 2010, IEEE Transactions on Neural Networks.

[16]  Shaocheng Tong,et al.  Direct adaptive fuzzy backstepping control of uncertain nonlinear systems in the presence of input saturation , 2012, Neural Computing and Applications.

[17]  Zhongke Shi,et al.  Neural Learning Control of Strict-Feedback Systems Using Disturbance Observer , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[18]  Kaixiang Peng,et al.  Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[19]  Arie Levant,et al.  Higher-order sliding modes, differentiation and output-feedback control , 2003 .

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

[21]  Ye Yan,et al.  Neural network gain-scheduling sliding mode control for three-dimensional trajectory tracking of robotic airships , 2015, J. Syst. Control. Eng..

[22]  Zewei Zheng,et al.  Adaptive integral LOS path following for an unmanned airship with uncertainties based on robust RBFNN backstepping. , 2016, ISA transactions.