Enhancing Yaw-Axis Attitude Control System of LEO Satellite Using Adaptive PID and Adjustable Gain Enhanced Fuzzy Logic Controllers
Subject Areas : Satellite CommunicationStanley Ajagba 1 , Udora Nwawelu 2 , Bonaventure Ekengwu 3 * , Nnaemeka Asiegbu 4 , Dumtochukwu Oyeka 5 , Maryrose Ogbuka 6
1 - University of Nigeria Nsukka.
2 - University of Nigeria Nsukka.
3 - University of Nigeria Nsukka.
4 - University of Nigeria Nsukka.
5 - University of Nigeria Nsukka.
6 - University of Nigeria Nsukka.
Keywords: Adaptive PID, Attitude Control System, Fuzzy Logic Controller, LEO Satellite, Yaw-axis ,
Abstract :
The significance of effective satellite attitude control system is that it can ensure both quality and reliability of data acquisition by a low earth orbit (LEO) satellite. In this paper, design of adaptive Proportional Integral and Derivative (PID) controller and its modified form with additional derivative component PIDD for microsatellite y-axis attitude control system (ACS). Also, designed is Fuzzy Logic Controller (FLC) and its enhanced formed called Adjustable Gain Enhanced (AGE-FLC). The models of amplifier, actuator, and satellite structure for determining the transfer function of LEO satellite yaw-axis attitude were established. Model Reference Adaptive control based Proportional Integral Derivative called MRAC-PID, its modified form called MRAC-PIDD, and FLC and its modified form AGE-FLC were designed. MATLAB/Simulink models were developed for various control systems and were used to conduct computer based simulation test for the designed control systems. Simulation analysis conducted revealed that the MRAC-PID controller offered the most efficient performance in terms of fast response and transient time, with rise time of 1.74 s and settling time of 6.19 s. The MRAC-PIDD and AGE-FLC offered no overshoot, which is an indication of efficient performance in terms of stability and smoothness to torque control. All proposed control systems for the LEO satellite yaw-axis ACS met the performance criteria expect the PID and the FLC controllers that yielded overshoots of 12% and 21.97% respectively. Generally, it suffices to say that the introduction of the designed adaptive PID/PIDD controllers and the AGE-FLC largely enhanced the system performance.
References
[1] C. C. Mbaocha, C. U. Eze, I. A. Ezenugu, and J. Onwumere, “Satellite model for yaw-axis determination and control using PID compensator,” International Journal of Scientific & Engineering Research, Vol. 7, No. 7, 2016, pp. 1623-1629.
[2] Y. Shan, L. Xia, and S. Li, “Design and simulation of satellite attitude control algorithm based on PID,” Journal of Physics: Conference Series,Vol. 2355, No. 012035, 2022. pp. 1-9.
[3] H. Travis, “Introduction to satellite attitude control,” inAdvancesin Spacecraft Attitude Control,IntechOpen. 2020.
[4] P. C. Eze, and I. A. Ezenugu, “Microsatellite yaw-axis attitude control system using model reference adaptive control based PID controller, “International Journal of Electrical and Control Engineering Research, Vol. 4, No. 2, 2024, pp. 8-16.
[5] A. T. Ajiboye, J. O. Popoola, O. Oniyide, and S. L. Ayinia, “PID controller for microsatellite yaw-axis attitude control system using ITAE method,” TELKOMNIKA Telecommunication, Computing, Electronics and Control, Vol. 18, No. 2, 2020, pp. 1001 – 1011.
[6] P. C. Eze, B. O. Ekengwu, N. C. Asiegbu, and T. I. Ozue, “Adjustable gain enhanced fuzzy logic controller for optimal wheel slip ratio tracking in hard braking control system,” Advances in Electrical and Electronic Engineering, Vol. 19, No. 3, 2021, pp. 231 – 242.
[7] P. C. Eze, A. E. Jonathan, B. C. Agwah, and E. A. Okoronkwo, “Improving the performance response of mobile satellite dish antenna network within Nigeria,” Journal of Electrical Engineering, Electronics, Control and Computer Science, Vol. 6, No. 21, 2020, pp. 25-30.
[8] B. C. Agwah, and P. C. Eze, “An intelligent controller augmented with variable zero lag compensation for antilock braking system," International Journal of Mechanical and Mechatronics Engineering, Vol. 6, No. 11, 2022, pp. 303-210.
[9] P. C. Eze, J. K. Obichere, E. S. Mbonu, and O. J. Ononjo, “Positioning control of satellite antenna for high speed response performance,” IPTEK, The Journal of Engineering, Vol. 10, No. 2, 2024, pp. 119-136.
[10]K. M. Portella, W. N. Schinestzki, R. M. Sehnem,L. B. da Luz, L. Q. Mantovani, R. R. Sacco, S. S. Kraemer, and P. Paglione, “Satellite attitude control using control moment gyroscopes,” Journal of Aerospace Technology and Management, São José dos Campos, Vol. 12, 2020, pp. 94-105.
[11]A. Bello, K. S. Olfe, J. Rodríguez, J. M. Ezquerro, and V. Lapuerta, “Experimental verification and comparison of fuzzy and PID controllers for attitude control of nanosatellites,” Advances in Space Research, Vol. 71, 2023, pp. 3613-3630.
[12]J. Narkiewicz, M. Sochacki, and B. Zakrzewski, “Generic model of a satellite attitude control system. International Journal of Aerospace Engineering,” Vol. 2020, Article ID 5352019, pp. 1-17.
[13] L. Jin, and Y. Li, “Model predictive control-based attitude control of under-actuated spacecraft using solar radiation pressure,” Aerospace, Vol. 9, 2022, pp. 1-20.
[14] Y. Qi, H. Jing, and X. Wu, “Variable structure PID controller for satellite attitude control considering actuator failure,” Applied Sciences, Vol. 12, 2022, pp. 1-19.
[15]E. U. Enejor, F. M. Dahunsi, K. F. Akingbade, and I. O. Nelson, “Low earth orbit satellite attitude stabilization using linear quadratic regulator,” European Journal of Electrical and Computer Science, Vol. 7, No. 3, 2023, pp. 17 – 29.
[16]Á. del Castañedo, D. Calvo, Á. Bello, and M. V. Lapuerta, “Optimization of fuzzy attitude control for nanosatellites,” Springer Nature, IntelliSys 2018, AISC 869, 2019, pp. 970–990.
[17] P. C. Eze, C. A. Ugo, and D. S. Inaibo, “Positioning control of DC servomotor-based antenna using PID tuned compensator,” Journal of Engineering Sciences, Vol. 8, No. 1, 2021, pp. E9-E16.
[18] I. O. Akwukwaegbu, O. Nosiri, M. Olubiwe, C. F. PaulinusNwammuo, and E. Okonkwo, “Design of model following control integrating PID controller for DC servomotor-based antenna positioning system,” SSRG International Journal of Electrical and Electronics Engineering, Vol. 10, No. 6, 2023, pp. 33-42.
[19] P. C. Eze, C. A. Ugoh, C. P. Ezeabasili, B. O. Ekengwu, and L. E. Aghoghovbia, “Servor position control in hard disk drive of a computer using MRAC integrating PID algorithm,” American Journal of Science, Engineering and Technology, Vol. 2, No. 4, 2017, pp. 97-105.
[20]A. Daiifarshchi and S. Bargandan, Design of a model reference adaptive controller using modified MIT rule for a second order system, Journal of Artificial Intelligence in Electrical Engineering, Vol. 7, No. 25, 2018, pp. 7-14.
[21]M. A. Fawwaz, K. Bingi, R. Ibrahim, P. A. M. Devan, and B. R. Prusty, “Design of PIDDα Controller for robust performance of process plants,”Algorithms, Vol. 16, 2023, pp. 437