Improved Adaptive NDI Flight Control Law Design Based on Real-Time Aerodynamic Identification in Frequency Domain

The traditional aircraft controller design is usually based on the off-line aerodynamic model. Due to the deviation of the off-line aerodynamic model, the flight quality is difficult to meet the requirements when the aircraft is flying in the real atmosphere. To solve this problem, this paper propos...

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Bibliographic Details
Published inApplied sciences Vol. 13; no. 12; p. 6951
Main Authors Zhou, Dapeng, Jin, Zeyu, Wu, Guoqiang
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2023
Subjects
adaptive control
Aircraft
Aircraft control
Control methods
Control systems design
Control theory
Controllers
Dynamic inversion
Engineering
Flight
Flight control
Flight control systems
Fourier transforms
frequency domain
Frequency domain analysis
Identification methods
Inversion
Mathematical models
Maximum likelihood method
NDI control
Neural networks
Nonlinear dynamics
Parameter identification
Real time
real-time aerodynamic identification
recursive least square
Sensors
Simulation analysis
Unmanned aerial vehicles
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Summary:The traditional aircraft controller design is usually based on the off-line aerodynamic model. Due to the deviation of the off-line aerodynamic model, the flight quality is difficult to meet the requirements when the aircraft is flying in the real atmosphere. To solve this problem, this paper proposes a frequency domain identification-based improved adaptive nonlinear dynamic inversion (NDI) control method (FDI-ANDI). In this paper, an online recursive aerodynamic parameter identification method in the frequency domain is first designed, and then an adaptive dynamic inversion control method based on the online aerodynamic parameter identification results is established. Finally, aiming at the problem of the slow response speed of the NDI controller, an improved adaptive dynamic inversion control law is designed by using the method of series lead correction. Compared with the traditional control method, the adaptive dynamic inversion method based on online aerodynamic identification has stronger robustness and a faster response speed in the face of model uncertainty. The final simulation analysis shows that the method has a better control effect than the traditional control method.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13126951