Genetic algorithm LQG and neural network controllers for gust response alleviation of flying wing unmanned aerial vehicles
In this paper, a genetic algorithm linear quadratic Gaussian controller (GA-LQG) and an artificial neural network (ANN) controller are implemented for gust response alleviation of lightweight flying wings undergoing body-freedom oscillations. A state–space aeroelastic model has been formulated by co...
Saved in:
Main Authors: | Ang, Elijah Hao Wei, Ng, Bing Feng |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2025
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/182054 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A combined numerical and experimental approach to investigations of body-freedom flutter on flying wings
by: Ang, Elijah Hao Wei
Published: (2024) -
DISCRETE EMPIRICAL INTERPOLATION METHOD AUGMENTED NON-INSTRUSIVE REDUCED ORDER MODEL FOR AEROELASTIC INSTABILITIES AND GUST LOAD ANALYSIS
by: RAHUL HALDER
Published: (2020) -
Prediction of extreme 3-sec. gusts accounting for seasonal effects
by: Quek, S.-T., et al.
Published: (2014) -
Estimation of the minimum pressure coefficient due to gusts
by: Cheong, H.-F.
Published: (2014) -
Model-based aeroelastic analysis and blade load alleviation of offshore wind turbines
by: Ng, Bing Feng, et al.
Published: (2022)