A prescribed performance adaptive optimal control scheme for flying-wing aircraft

A model-free adaptive control scheme combining the incremental control, recursive least squares identification, approximate dynamic programming algorithm and prescribed performance control theory is proposed for a kind of flying-wing aircrafts to improve dynamic performance for issue of regulation control. In this work, prescribed performance bound function is introduced to help simplify the adaptive controller design process so as to reduce dependence on human experience when designing and choosing certain parameters, at the meantime, the boundness and convergence of state are both guaranteed. Finally, the effectiveness of the presented approach is validated by several simulations.

[1]  E. van Kampen,et al.  Nonlinear Adaptive Flight Control Using Incremental Approximate Dynamic Programming and Output Feedback , 2017 .

[2]  Frank L. Lewis,et al.  Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[3]  Panos M. Pardalos,et al.  Approximate dynamic programming: solving the curses of dimensionality , 2009, Optim. Methods Softw..

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

[5]  Shaojie Zhang,et al.  Control Surface Faults Neural Adaptive Compensation Control for Tailless Flying Wing Aircraft with Uncertainties , 2018, International Journal of Control, Automation and Systems.

[6]  Zhanshan Wang,et al.  Optimal control for a class of complex singular system based on adaptive dynamic programming , 2019, IEEE/CAA Journal of Automatica Sinica.

[7]  Y. C. Wang,et al.  Command-Filtered Incremental Backstepping Controller for Small Unmanned Aerial Vehicles , 2018 .

[8]  Charalampos P. Bechlioulis,et al.  Prescribed Performance Adaptive Control for Multi-Input Multi-Output Affine in the Control Nonlinear Systems , 2010, IEEE Transactions on Automatic Control.

[9]  Victor M. Becerra,et al.  Optimal control , 2008, Scholarpedia.

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

[11]  Huaguang Zhang,et al.  Adaptive Dynamic Programming: An Introduction , 2009, IEEE Computational Intelligence Magazine.

[12]  Peng Lu,et al.  Aircraft Fault-Tolerant Trajectory Control Using Incremental Nonlinear Dynamic Inversion , 2016 .

[13]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[14]  Qian Liu,et al.  A gradient-based aero-stealth optimization design method for flying wing aircraft , 2019, Aerospace Science and Technology.

[15]  Derong Liu,et al.  Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints , 2015, IEEE Transactions on Cybernetics.