AbstractThis paper deals with the problem of optimal large-angle single-axis maneuvers of a flexible spacecraft with simultaneous vibration suppression of elastic modes. A spacecraft model with a cylindrical hub and one flexible appendage and tip mass is considered. Gravity gradient torque is considered as a disturbance torque. Multilayer perceptron neural networks are used to design a Neural Optimal Controller (NOC) for this multivariable non-linear maneuver. For NOC training, an off-line training procedure based on backpropagation through time algorithm is developed to minimize the general quadratic cost function in forward and backward pass stages. The proposed controller is also applicable to simultaneous multi-axis reorientation of a flexible spacecraft. Simulation results are presented to show that very fast reference pitch angle trajectory tracking and vibration suppression are accomplished.
Neural optimal control of flexible spacecraft slew maneuver
Acta Astronautica ; 55 , 10 ; 817-827
2004-04-08
11 pages
Article (Journal)
Electronic Resource
English
Neural optimal control of flexible spacecraft slew maneuver
Online Contents | 2004
|Slew Maneuver Constraints for Agile Flexible Spacecraft
AIAA | 2023
|Slew Maneuver Constraints for Agile Flexible Spacecraft
AIAA | 2023
|Optimal Variable Amplitudes Input Shaping Control for Slew Maneuver of Flexible Spacecraft
Online Contents | 2017
|Optimal Variable Amplitudes Input Shaping Control for Slew Maneuver of Flexible Spacecraft
Springer Verlag | 2021
|