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Attitude Determination and Control of Thinsat System Using Adaptive Control Technique

This paper presents attitude determination and control of ThinSat system using an adaptive control technique. This study aims to reduce the impact of dynamic torque on the angular velocity and orientation of spacecraft while maintaining a steady position in the axes. This was achieved by collecting the data of Nigeria Sat-2 which was trained with a multi-layered neural network algorithm employed to generate an adaptive control system which was implemented on the satellite using Simulink software. The training performance of the adaptive controller was evaluated and validated using Mean Square Error (MSE) and regression. The result showed that the average MSE is 0045394Mu and 0.97271 for regression. The implication is that the neural network correctly learns the spacecraft data collected and was able to detect changes in the angular velocity. The step response of the adaptive controller was evaluated with the characterized Proportional Integral Derivative (PID) control system and the result showed that the total time of the attitude determination and control of the spacecraft is 111.24ms as against 465ms with PID which gives 76% reduction in decision time to control error due to dynamics. The comparative analysis with the characterized in the rate of error minimization on the pitch angular velocity showed that the angle was reduced from 13.46mm with the adaptive controller to 9.55mm which gives a percentage improvement of 29%.

ThinSat, Adaptive Control, Spacecraft, Nigeria Sat-2, Neural Network

APA Style

Ukonu Ihuoma Christian, Eneh Innocent Ifeanyichukwu, Ene Princewill Chigozie. (2023). Attitude Determination and Control of Thinsat System Using Adaptive Control Technique. Engineering Science, 8(2), 14-22. https://doi.org/10.11648/j.es.20230802.11

ACS Style

Ukonu Ihuoma Christian; Eneh Innocent Ifeanyichukwu; Ene Princewill Chigozie. Attitude Determination and Control of Thinsat System Using Adaptive Control Technique. Eng. Sci. 2023, 8(2), 14-22. doi: 10.11648/j.es.20230802.11

AMA Style

Ukonu Ihuoma Christian, Eneh Innocent Ifeanyichukwu, Ene Princewill Chigozie. Attitude Determination and Control of Thinsat System Using Adaptive Control Technique. Eng Sci. 2023;8(2):14-22. doi: 10.11648/j.es.20230802.11

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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