Predictive Fuzzy Logic Controller for Agile Micro-Satellite
This paper presents the use of the predictive fuzzy logic controller (PFLC) applied to attitude control system for agile micro-satellite. In order to reduce the effect of unpredictable time delays and large uncertainties, the algorithm employs predictive control to predict the attitude of the satellite. Comparison of the PFLC and conventional fuzzy logic controller (FLC) is presented to evaluate the performance of the control system during attitude maneuver. The two proposed models have been analyzed with the same level of noise and external disturbances. Simulation results demonstrated the feasibility and advantages of the PFLC on the attitude determination and control system (ADCS) of agile satellite.
[1] Michael D.Griffin, James R.French, "Space vehicle design", AIAA education Series Second edition, Published by American Institute of Americans and Astronautics 2004.
[2] Marcel J. Sidi, "Spacecraft dynamics and control", Cambridge Aerospace Series 7, Cambridge University Press, Cambridge, 1997.
[3] Robert A. Pazm, "The design of PID controller", Klipsch School of Electrical and Computer Engineering, 2001.
[4] B. Wie, "space vehicule dynamics and control", AIAA education Series, AIAA Inc. Reston, VA, 1998.
[5] Xianhua Jiang, Yuichi Motai, Xingquan Zhu, "Predictive fuzzy control for a mobile robot with nonholonomic constraints", 12th International Conference, Advanced Robotics, 2005. ICAR '05.
Proceedings, 18-20 July 2005, pp. 58 - 63, ISBN 0-7803-9178-0.
[6] A.M. SI Mohammed, M. Benyettou, A. Boudjemai, Y. Hashida, "Seven
state Kalman filtering for LEO microsatellite attitude determination",
Proceeding of 9th WSEAS International conference on Signal Processing, Robotics and Automation, pp. 151-157, Cambridge, UK, February 20-22, 2010.
[7] J. R. Wertz, "Space mission analysis and design", Space Technology
Library, Kluwer Academic Publishers, Dordrecht, Boston, London, 1991.
[8] Zadeh, L., "Knowledge representation in fuzzy logic", IEEE Trans. on Knowledge and Data Engineering, vol. 1, pp. 89-100, 1989.
[9] Gene F. Franklin, J. David Powell and Abbas Emami-Naeini, "Feedback control of dynamic system", Pearson Education Ltd., 2006.
[10] Sazali Yaacob, Nagarajan R, and Kenneth TTK., "Fuzzy logic predictive
controller performance under variable time delay - A simulation study", Proceedings of IEEE Conference, NAFLIPS-FLINT on Fuzzy Information Processing, pp. 99-104, Boston, USA. 2002.
[1] Michael D.Griffin, James R.French, "Space vehicle design", AIAA education Series Second edition, Published by American Institute of Americans and Astronautics 2004.
[2] Marcel J. Sidi, "Spacecraft dynamics and control", Cambridge Aerospace Series 7, Cambridge University Press, Cambridge, 1997.
[3] Robert A. Pazm, "The design of PID controller", Klipsch School of Electrical and Computer Engineering, 2001.
[4] B. Wie, "space vehicule dynamics and control", AIAA education Series, AIAA Inc. Reston, VA, 1998.
[5] Xianhua Jiang, Yuichi Motai, Xingquan Zhu, "Predictive fuzzy control for a mobile robot with nonholonomic constraints", 12th International Conference, Advanced Robotics, 2005. ICAR '05.
Proceedings, 18-20 July 2005, pp. 58 - 63, ISBN 0-7803-9178-0.
[6] A.M. SI Mohammed, M. Benyettou, A. Boudjemai, Y. Hashida, "Seven
state Kalman filtering for LEO microsatellite attitude determination",
Proceeding of 9th WSEAS International conference on Signal Processing, Robotics and Automation, pp. 151-157, Cambridge, UK, February 20-22, 2010.
[7] J. R. Wertz, "Space mission analysis and design", Space Technology
Library, Kluwer Academic Publishers, Dordrecht, Boston, London, 1991.
[8] Zadeh, L., "Knowledge representation in fuzzy logic", IEEE Trans. on Knowledge and Data Engineering, vol. 1, pp. 89-100, 1989.
[9] Gene F. Franklin, J. David Powell and Abbas Emami-Naeini, "Feedback control of dynamic system", Pearson Education Ltd., 2006.
[10] Sazali Yaacob, Nagarajan R, and Kenneth TTK., "Fuzzy logic predictive
controller performance under variable time delay - A simulation study", Proceedings of IEEE Conference, NAFLIPS-FLINT on Fuzzy Information Processing, pp. 99-104, Boston, USA. 2002.
@article{"International Journal of Information, Control and Computer Sciences:62643", author = "A. Bellar and M.K. Fellah and A.M. Si Mohammed and M. Bensaada and L. Boukhris", title = "Predictive Fuzzy Logic Controller for Agile Micro-Satellite", abstract = "This paper presents the use of the predictive fuzzy logic controller (PFLC) applied to attitude control system for agile micro-satellite. In order to reduce the effect of unpredictable time delays and large uncertainties, the algorithm employs predictive control to predict the attitude of the satellite. Comparison of the PFLC and conventional fuzzy logic controller (FLC) is presented to evaluate the performance of the control system during attitude maneuver. The two proposed models have been analyzed with the same level of noise and external disturbances. Simulation results demonstrated the feasibility and advantages of the PFLC on the attitude determination and control system (ADCS) of agile satellite.
", keywords = "Agile micro-satellite, Attitude control, fuzzy logic, predictive control", volume = "6", number = "6", pages = "849-4", }