Robust Backstepping Control of Wing Rock Using Disturbance Observer
Source abstract
Abstract
Wing rock is a highly nonlinear phenomenon when the aircraft suffers undesired roll-dominated oscillatory at high angle of attack (AOA). Considering the strong nonlinear and unsteady aerodynamic characteristics, an uncertain multi-input and multi-output (MIMO) nonlinear wing rock model is studied, and system uncertainties, unsteady aerodynamic disturbances and externaldisturbancesareconsideredinthedesignofwingrockcontrollaw. Tohandletheproblemof multipledisturbances,arobustcontrolschemeisproposedbasedontheextendedstateobserver(ESO) and the radial basis function neural network (RBFNN) technique. Considering that the effectiveness of actuators are greatly decreased at high AOA, the input saturation problem is also handled by constructing a corresponding auxiliary system. Based on the improved ESO and the auxiliary system, a robust backstepping control law is proposed for the wing rock control. In addition, the dynamic surface control (DSC) technique is introduced to avoid the tedious computations of time derivatives for the virtual control laws in the backstepping method. The stability of the closed-loop system is guaranteed via rigorously Lyapunov analysis. Finally, simulation results are presented to illustrate the effectiveness of the ESO and the proposed wing rock control approach.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Adaptive Control of Nonlinear Systems · Aerospace and Aviation Technology · Aeroelasticity and Vibration Control
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
References (47)
Show source-provided references
1. Wing rock due to aerodynamic hysteresis10.2514/3.58495 ↗
2. Lie, F.A.P., and Go, T.H. (2007, January 20–23). Analysis of single degree-of-freedom wing rock due to aerodynamic hysteresis. Proceedings of the AIAA Atmospheric Flight Mechanics Conference and Exhibit, Hilton Head, SC, USA.10.2514/6.2007-6489 ↗
3. Theory of wing rock10.2514/3.45225 ↗
4. Analysis of the two-degree-of-freedom wing rock in advanced aircraft10.2514/2.4885 ↗
5. Analytical theory of three-degree-of-freedom aircraft wing rock10.2514/1.11132 ↗
6. Development of an analytical model of wing rock for slender delta wings10.2514/3.45833 ↗
7. Parameter estimation of unstable, limit cycling systems using adaptive feedback linearization: Example of delta wing roll dynamics10.1016/j.jsv.2004.12.013 ↗
8. Nonlinear feedback control of self-sustained thermoacoustic oscillations10.1016/j.ast.2014.12.026 ↗
9. Performance evaluation of an L1 adaptive controller for wing-body rock suppression10.2514/1.57595 ↗
10. Design and implementation of fuzzy logic controller for wing rock
11. Reinforcement adaptive fuzzy control of wing rock phenomena10.1049/ip-cta:20045072 ↗
12. Sliding mode control approach for online learning as applied to type-2 fuzzy neural networks and its experimental evaluation10.1109/TIE.2011.2182017 ↗
13. Neural-network-identification-based adaptive control of wing rock motions10.1049/ip-cta:20050904 ↗
14. Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings10.1109/TFUZZ.2004.834803 ↗
15. Wavelet adaptive backstepping control for a class of nonlinear systems10.1109/TNN.2006.878122 ↗
16. Disturbance observer assisted robust control of wing rock motion based on contraction theory10.1177/0037549712469842 ↗
17. UDE-based linear robust control for a class of nonlinear systems with application to wing rock motion stabilization10.1007/s11071-015-2029-x ↗
18. Extended state observer based robust control of wing rock motion10.1016/j.ast.2014.01.008 ↗
19. New passivity analysis for neural networks with discrete and distributed delays10.1109/TNN.2010.2059039 ↗
20. Exponential stability analysis for delayed neural networks with switching parameters: Average dwell time approach10.1109/TNN.2010.2056383 ↗
21. Stability and synchronization of discrete-time neural networks with switching parameters and time-varying delays10.1109/TNNLS.2013.2271046 ↗
22. Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities10.1109/TNN.2010.2042611 ↗
23. Observer-based adaptive neural network control for nonlinear stochastic systems with time delay10.1109/TNNLS.2012.2223824 ↗
24. Adaptive neural network control of an uncertain robot with full-state constraints10.1109/TCYB.2015.2411285 ↗
25. A class of extended state observers for uncertain systems
26. Disturbance-rejection high-precision motion control of a Stewart platform10.1109/TCST.2004.824315 ↗
27. Active disturbance rejection control for MEMS gyroscopes10.1109/TCST.2008.2008638 ↗
28. Gain-scheduled worst-case control on nonlinear stochastic systems subject to actuator saturation and unknown information10.1007/s10957-012-0142-2 ↗
29. Robust control on saturated Markov jump systems with missing information10.1016/j.ins.2013.12.050 ↗
30. Output-feedback based sliding mode control for fuzzy systems with actuator saturation10.1109/TFUZZ.2015.2513085 ↗
31. Adaptive neural tracking control for stochastic nonlinear strict-feedback systems with unknown input saturation10.1016/j.ins.2013.09.043 ↗
32. Adaptive sliding mode fault tolerant attitude tracking control for flexible spacecraft under actuator saturation10.1109/TCST.2011.2169796 ↗
33. Nonlinear flight control design using constrained adaptive backstepping10.2514/1.25834 ↗
34. Fuzzy neural adaptive tracking control of unknown chaotic systems with input saturation10.1007/s11071-011-0196-y ↗
35. Semi-globally/globally stable adaptive NN backstepping control for uncertain MIMO systems with tracking accuracy known a priori10.1016/j.jfranklin.2014.09.008 ↗
36. Switching model predictive attitude control for a quadrotor helicopter subject to atmospheric disturbances10.1016/j.conengprac.2011.06.010 ↗
37. Adaptive fuzzy backstepping output feedback tracking control of MIMO stochastic pure-feedback nonlinear systems with input saturation10.1016/j.fss.2014.03.013 ↗
38. Adaptive backstepping control and friction compensation for AC servo with inertia and load uncertainties10.1109/TIE.2003.817574 ↗
39. Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities10.1108/AEAT-09-2014-0150 ↗
40. Nonlinear Inversion Flight Control for a Supermaneuverable Aircraft10.2514/3.20932 ↗
41. Klein, V., and Murphy, P.C. (1998). Estimation of Aircraft Nonlinear Unsteady Parameters From Wind Tunnel Data, National Aeronautics and Space Administration, Langley Research Center.
42. A robust adaptive RBFNN augmenting backstepping control approach for a model-scaled helicopter10.1109/TCST.2015.2396851 ↗
43. On the stability of linear active disturbance rejection control10.3724/SP.J.1004.2013.00574 ↗
44. The performance analysis on linear extended state observer and its extension case with higher extended order
45. On validation of extended state observer through analysis and experimentation10.1115/1.4005364 ↗
46. On convergence of non-linear extended state observer for multi-input multi-output systems with uncertainty10.1049/iet-cta.2012.0123 ↗
47. Active structural acoustic control of broadband disturbances10.1121/1.405250 ↗