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1860797364791410688
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INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2015-11-04 14:33:48
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| format |
Restricted Document
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| id |
12423
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UniSZA
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| internalnotes |
[1] Bouwmeester, J., Guo, J. 2010. Survey of Worldwide Pico- and Nanosatellite Missions, Distributions and Subsystem Technology. Acta Astronautica. 67: 854-862. [2] Sharun, S. M., Mashor, M. Y., Hadani, W. N., Norhayati, M. N. and Yaacob, S. 2011. Nano-Satellite Attitude Control System Based On Adaptive Neuro-Controller. Proceedings of the 3rd International Conference on Computing and Informatics. ICOCI 078. 26-31. [3] Horri, N. M., Palmer, P., Roberts, M. 2007. Gain-Scheduled Inverse Optimal Satellite Attitude Control. IEEE Trans. on Aerospace and Electronic. 1(2): 513-521. [4] Talebi, H. A. and Khorasani, K. 2013. A Neural Network-Based Multiplicative Actuator Fault Detection and Isolation of Nonlinear Systems. IEEE Trans. on Control Systems Technology. 21(3): 842- 851. [5] Shams, N., Tanveer, F., Ahmad, S. 2008. Design and Development of Attitude Control System (ACS) using COTS based Components for Small Satellites. Proceedings of IEEE ICAST 2nd International Conference on Advances in Space Technologies. 2: 6-11. [6] Ruba, M. K. 2012. Simulation Of Optimal Speed Control For A DC Motor Using Linear Quadratic Regulator (LQR). Journal of Engineering. 18(3): 340-349. [7] Kosari, A., Peyrovani, M., Fakoor, M., Pishkenari, H. N. 2003. Design of LQG/LTR Controller for Attitude Control of Geostationary Satellite Using Reaction Wheels. IEEE Vehicle Power and Propulsion Conference (VPPC). 1-5. [8] McCamish, S. B., Romano, M., Nolet, S., Edwards, C. M., and Miller, D. W. 2008. Ground and Flight Testing of Multiple Spacecraft Control on Spheres During Close Proximity Operations. American Institute of Aeronautics and Astronautics. 5: 1-19. [9] Holzinger, M. J. and Scheeres, D. J. 2011. LQR Performance Index Distribution with Uncertain Boundary Conditions. American Control Conference. 913-920. [10] Trinh, H., Fernando, T., and Nahavandi, S. 2004. Design of Reduced-Order Functional Observers for Linear Systems With Unknown Inputs. Asian Journal of Control. 6(4): 514-520. [11] Bolonkin, A. A. and Sierakowski, R. L. 2003. Design of Optimal Regulators, 2nd AIAA "Unmanned Unlimited" Conference, American Institute of Aeronautics and Astronautics. 1-18. [12] Mitra, S., Banerjee, A., and Das, G. 2013. Unknown Input Full Order Observer Construction Using Generalized Matrix Inverse. Int. Journal of Engineering Research and Applications. 3(5): 257-260. [13] Gajic, V. R. 2014. Linear Observers Design and Implementation. Proceedings of Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1). 1-6. [14] Elmadany, M. M., Alsaif, K. A., Foda, M. A., Albedah, A. A. 2013. Active Vibration Control of Satellite Panels using Piezoelectric Actuators and Sensors. Proceedings of the 2nd International Conference on Systems, Control, Power, Robotics (SCOPORO '13). 13-19. [15] Sourish, S., Ranjit, K. B., Pranab, K. C., Rupendranath, C. 2012. Design of Attitude Control System of a Space Satellite. International Jourfignal of Advanced Engineering Technology. 3(2): 13-16. [16] Neng, W., Ming, L. and Karimi, H. R. 2014. Observer-Based Robust Control for Spacecraft Rendezvous with Thrust Saturation. Hindawi Publishing Corporation. 1-10. [17] Franklin, G. F., Powel J. D., and Naeini, A. E. 2010. Feedback Control of Dynamic Systems. Prentice Hall.
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norman
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12423
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12423 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12423 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal image/jpeg inches 96 96 norman 768 03 03 1425 2015-11-04 14:33:48 1425x768 6725-01-FH02-FSTK-15-04054.jpg UniSZA Private Access Full-and reduced- order compensator for innosat attitude control Jurnal Teknologi This paper presents a study on the estimator based on Linear Quadratic Regulator (LQR) control scheme for Innovative Satellite (InnoSAT). By using LQR control scheme, the controller and the estimator has been derived for state space form in all three axes to stabilize the system’s performance. This study starts by converting the transfer functions of attitude control into state space form. Then, the step continues by finding the best value of weighting matrices of LQR in order to obtain the best value of controller gain, K. After that, the best value of L is obtained for the estimator gain. The value of K and L is combined in forming full order compensator and in the same time the reduced order compensator is also formed. Lastly, the performance of full order compensator is compared to reduced order compensator. From the simulation, results indicate that both types of estimators have presented good stability and tracking performance. However, reduced order estimator has simpler equation and faster convergence to zero than the full order estimator. This property is very important in developing a satellite attitude control for real-time implementation. 76 12 Penerbit UTM Press Penerbit UTM Press 69-75 [1] Bouwmeester, J., Guo, J. 2010. Survey of Worldwide Pico- and Nanosatellite Missions, Distributions and Subsystem Technology. Acta Astronautica. 67: 854-862. [2] Sharun, S. M., Mashor, M. Y., Hadani, W. N., Norhayati, M. N. and Yaacob, S. 2011. Nano-Satellite Attitude Control System Based On Adaptive Neuro-Controller. Proceedings of the 3rd International Conference on Computing and Informatics. ICOCI 078. 26-31. [3] Horri, N. M., Palmer, P., Roberts, M. 2007. Gain-Scheduled Inverse Optimal Satellite Attitude Control. IEEE Trans. on Aerospace and Electronic. 1(2): 513-521. [4] Talebi, H. A. and Khorasani, K. 2013. A Neural Network-Based Multiplicative Actuator Fault Detection and Isolation of Nonlinear Systems. IEEE Trans. on Control Systems Technology. 21(3): 842- 851. [5] Shams, N., Tanveer, F., Ahmad, S. 2008. Design and Development of Attitude Control System (ACS) using COTS based Components for Small Satellites. Proceedings of IEEE ICAST 2nd International Conference on Advances in Space Technologies. 2: 6-11. [6] Ruba, M. K. 2012. Simulation Of Optimal Speed Control For A DC Motor Using Linear Quadratic Regulator (LQR). Journal of Engineering. 18(3): 340-349. [7] Kosari, A., Peyrovani, M., Fakoor, M., Pishkenari, H. N. 2003. Design of LQG/LTR Controller for Attitude Control of Geostationary Satellite Using Reaction Wheels. IEEE Vehicle Power and Propulsion Conference (VPPC). 1-5. [8] McCamish, S. B., Romano, M., Nolet, S., Edwards, C. M., and Miller, D. W. 2008. Ground and Flight Testing of Multiple Spacecraft Control on Spheres During Close Proximity Operations. American Institute of Aeronautics and Astronautics. 5: 1-19. [9] Holzinger, M. J. and Scheeres, D. J. 2011. LQR Performance Index Distribution with Uncertain Boundary Conditions. American Control Conference. 913-920. [10] Trinh, H., Fernando, T., and Nahavandi, S. 2004. Design of Reduced-Order Functional Observers for Linear Systems With Unknown Inputs. Asian Journal of Control. 6(4): 514-520. [11] Bolonkin, A. A. and Sierakowski, R. L. 2003. Design of Optimal Regulators, 2nd AIAA "Unmanned Unlimited" Conference, American Institute of Aeronautics and Astronautics. 1-18. [12] Mitra, S., Banerjee, A., and Das, G. 2013. Unknown Input Full Order Observer Construction Using Generalized Matrix Inverse. Int. Journal of Engineering Research and Applications. 3(5): 257-260. [13] Gajic, V. R. 2014. Linear Observers Design and Implementation. Proceedings of Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1). 1-6. [14] Elmadany, M. M., Alsaif, K. A., Foda, M. A., Albedah, A. A. 2013. Active Vibration Control of Satellite Panels using Piezoelectric Actuators and Sensors. Proceedings of the 2nd International Conference on Systems, Control, Power, Robotics (SCOPORO '13). 13-19. [15] Sourish, S., Ranjit, K. B., Pranab, K. C., Rupendranath, C. 2012. Design of Attitude Control System of a Space Satellite. International Jourfignal of Advanced Engineering Technology. 3(2): 13-16. [16] Neng, W., Ming, L. and Karimi, H. R. 2014. Observer-Based Robust Control for Spacecraft Rendezvous with Thrust Saturation. Hindawi Publishing Corporation. 1-10. [17] Franklin, G. F., Powel J. D., and Naeini, A. E. 2010. Feedback Control of Dynamic Systems. Prentice Hall.
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| spellingShingle |
Full-and reduced- order compensator for innosat attitude control
|
| summary |
This paper presents a study on the estimator based on Linear Quadratic Regulator (LQR) control scheme for Innovative Satellite (InnoSAT). By using LQR control scheme, the controller and the estimator has been derived for state space form in all three axes to stabilize the system’s performance. This study starts by converting the transfer functions of attitude control into state space form. Then, the step continues by finding the best value of weighting matrices of LQR in order to obtain the best value of controller gain, K. After that, the best value of L is obtained for the estimator gain. The value of K and L is combined in forming full order compensator and in the same time the reduced order compensator is also formed. Lastly, the performance of full order compensator is compared to reduced order compensator. From the simulation, results indicate that both types of estimators have presented good stability and tracking performance. However, reduced order estimator has simpler equation and faster convergence to zero than the full order estimator. This property is very important in developing a satellite attitude control for real-time implementation.
|
| title |
Full-and reduced- order compensator for innosat attitude control
|
| title_full |
Full-and reduced- order compensator for innosat attitude control
|
| title_fullStr |
Full-and reduced- order compensator for innosat attitude control
|
| title_full_unstemmed |
Full-and reduced- order compensator for innosat attitude control
|
| title_short |
Full-and reduced- order compensator for innosat attitude control
|
| title_sort |
full-and reduced- order compensator for innosat attitude control
|