Document Type : selected article

Authors

• Milad Kamzan ¹
• Mana Ghanifar ²
• AmirAli Nikkhah ³
• Jafar Roshanian ⁴
• Mohammad Teshnehlab ⁵

¹ PhD.Student of K. N. Toosi University of Technology - Intelligent Control Systems Institute

² PhD Student, Faculty of Aerospace Engineering, K. N. Toosi University of Technology, Tehran, Iran

³ Associate professor, Faculty of K. N. Toosi University of Technology, Tehran, Iran

⁴ Professor, Faculty of K. N. Toosi University of Technology, Tehran, Iran

⁵ Professor, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract

In this article, a new closed-loop algorithm is presented to generate an optimal angular trajectory for a given satellite to reach the desired final point. Using the capabilities of artificial neural networks, this algorithm can find the best trajectory to reach the final setpoints based on the dynamic behavior of the system and the preset controller capability by using the desired final values of the trajectory and the values of the system state variables at each simulation time. In the presence of external disturbances, this closed-loop intelligent trajectory generation algorithm shows advanced adaptive performance, which allows it to develop the best alternative trajectory to achieve the final setpoint and return the system to the main trajectory. Despite the fact that this algorithm is able to restore the main trajectory, it is also capable of preventing unreasonable control efforts by considering the control properties of the system. This intelligent algorithm of angular path generation shows high accuracy and effective performance after simulations are performed in the MATLAB software environment with predefined external disturbances.

Keywords

• Intelligent closed-loop angular trajectory generation algorithm
• Satellite attitude maneuver
• Intelligent trajectory generation
• Autoencoders
• Artificial neural networks

Main Subjects

• control