Positioning Control of Satellite Antenna for High Speed Response Performance

Paulinus Eze, Jude Kennedy Obichere, Ekene Samuel Mbonu, Ondoma James Onojo

Abstract


Dish antennas are essential elements in establishing communication between satellite and earth station. The response speed of the position control process of a dish antenna mounted on a moving vehicle that communicates via NigComSat-1R with a central control office is affected by round trip or time delay. Therefore, there is need to design a control system that will address this problem in order to achieve high speed positioning response. The mathematical models representing the dynamics of the antenna positioning system were obtained. A back propagation neural network (BPNN) based proportional integral and derivative (PID) controller was designed and added to the antenna position control loop. The resulting system was modelled in MATLAB. Simulation results indicated that it provided a rise time of 0.027 s, settling time of 1.06 s and overshoot of 0% at peak time of 0.06 s. This shows that the response speed of the control process using the designed BPNN-PID is 37 degree per second. Comparison with previous controllers applied to the same system indicated that BPNN-PID controller outperformed all of them. Generally, the BPNN-PID controller is suitable for high speed position control of the antenna and improves overall performance.


Keywords


Back propagation neural network; Controller, PID; Position control; Satellite antenna

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References


P. C. Eze, A. E. Jonathan, B. C. Agwah, and E. A. Okoronkwo, “Improving the performance response of mobile satellite dish antenna within Nigeria,” Journal of Electrical, Electronics, Control and Computer Science,vol. 6, no. 21, , pp. 25-30, 2020.

A. T. Ajiboye, A. R. Ajayi, and S. L. Ayinla, “Effect of PID controller on performance of dish antenna position control for distributed mobile telemedicine nodes,” Arid Zone Journal of Engineering, Technology & Environment, vol. 15, no. 2, pp. 304-313, 2019.

B. O. Ekengwu, D. O. Oyeka, C. B. Mbachu and C, A. Nwabueze, “Design of PID tuned digital compensator for improved positioning performance of satellite dish antenna for distributed mobile telemedicine nodes within Nigeria,” in Proceeding of 2020 LGT-ECE-UNN International Conference:Technological Innovation for Holistic Sustainable Devlopment, Enugu, 2020, pp.117-123.

B. O. Ekengwu, P. C. Eze, C. N. Asiegbu, C. O. Olisa, and C. F. Udechukwu, “Satellite dish antenna control for distributed mobile telemedicine nodes,” International Journal of Informatics and Communication Technology, vol. 11, no. 3, pp. 206-217, 2022.

T. S. Ibiyemi and A. T. Ajiboye, “Automatic tracking of NigComSate-1R satellite by dish network mounted on mobile telemedicine vehicles,” International Journal of Engineering Research and Technology, vol. 1, no. 4, pp. 1-4, 2012

A. T. Salawudeen, B. M. Mu’azu, Y. A. Sha’aban, and C. J. Chan, “Optimal design of PID controller for deep space antenna positioning using weighted cultural artificial fish swarm algorithm,” Journal of Electrical & Electronic Systems, vol. 6, no. 4, pp. 1-8, 2017.

A. Mahmood, M. Almaged, and I. A. Abdulla, “Antenna azimuth position control using fractional order PID controller based on genetic algorithm,” IOP Conference Series, vol. 1152, p. 012016, 2021.

H. S. Yakubu, S. U., Hussein, and G. Koyunlu, Fuzzy-PID controller for azimuth position control of deep space antenna, Covenant Journal of Informatics & Communication Technology, vol. 8, no. 1, pp. 1-7, 2020.

L. T. Rasheed, N. Q. Yousif, and S. Al-wais, “Performance of the optimal PID controller for position control of antenna azimuth position system,” Mathematical Modelling of Engineering Problem, vol. 10, no. 1, pp. 366-375, 2022.

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, pp. E9-E16, 2021.

A. H. Mohsin, I. S. Kareem, and W. E. Abdul-Lateef, “PID controller for speed and position of antenna system based DC servo motor,” AIP Conf. Proc., 3002, 050019, 2024.

M. A. Fkirin and M. A. -E. Khira, "Enhanced antenna positioning control system using adapted DC Servo motor and fuzzy-PI controller," in IEEE Access, vol. 11, pp. 102661-102668, 2023.

R. O. Reddy, S. Kautish, V. P. Reddy, N. S. Yadav, M. M. Alanazi, and A. W. Mohamed, “Effects of integrated fuzzy logic PID controller on satellite antenna tracking system,”Computational Intelligence and Neuroscience, vol. 2022, pp. 1-11, 2022.

A. Mahmood, K. Y. A. Al-bayati, and R. Szabolcsi, “Optimizing antenna azimuth position control using fuzzy PD, fuzzy PD-I, and fuzzy PD-plus-I controllers,” Nanotechnology Perceptions, vol. 20, no. 3, pp. 18-32, 2024.

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, p. 012035, 2022.

E. A. Aner, M. I. Awad, and O. M. Shehata, “Performance evaluation of PSO-PID and PSO-FLC for continuum robot’s developed modeling and control,” Scientific Reports, vol. 14, P. 733, 2024.

Y. Song, S. Wu, and Y. Yan, “Development of self-tuning PID controller based on 115 for indoor air quality control,” International Journal of Low-Carbon Technologies, vol. 3, no. 11, pp. 283-290, 2013.

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. 16, no. 11, pp. 303-310, 2022.

A. Fattah, Design of and analysis of speed control using hybrid PID-Fuzzy controller for induction motors, M.S. thesis, Western Michigan University, Kalamazoo, Michigan, 2015.

H. Liu, Q. Yu, and Q. Wu, “PID control model based on back propagation neural network optimized by adversarial learning-based grey wolf optimization,” Applied Sciences, vol. 13, p. 4767, 2023.

J. Andre, P. Siary, and T. Dogon, “An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization,” Advances in Engineering Software, vol. 32, no. 1, pp. 49-60, 2001.

M. S. Saad, H. Jamaluddin, and I. Z. M. Darus, “Implementation of PID controller tuning using differential evolution and genetic algorithms,” International Journal of Innovative Computing, Information and Control, vol. 8, no. 11, pp. 7761-7779, 2012.

A. Uthman and S. Sudin, “Antenna Azimuth Position Control System using PID controller & state-feedback controller approach,” International Journal of Electrical and Computer Engineering, vol 8, no. 3, pp. 1539–1550, 2018.

H. Ji, X. Zhang, and H. Ji, “Research on ship-borne UXB antenna servo system based on LQG controller,” Proceeding International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018), Atlantis Press, 2018, 403-406.

L. A. Alwal, P. K. Kihato, and S. I. Kamau, “DC servomotor-based antenna positioning control system using PID and LQR controller,” Proceedings of the 2016 Annual Conference on Sustainable Research and Innovation, 2016, pp. 30-23.

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 Computer Engineering Research, vol. 4, no. 2, pp. 8–16, 2024.

A. Uthman, “Antenna azimuth position control system using model reference adaptive control method gradient approach and stability approach,” Journal of Engineering and Applied Science, vol. 14, no. 16, pp. 5657-5664, 2019

U. Singh and N. S. Pal, “Antenna azimuth position control using model reference adaptive controller and self-tuning controller,” Proceeding of the International conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC), 2019, pp. 1 – 9.

I. O. Akwukwaegbu, O. Nosiri, M. Olubiwe, C. F. Paulinus Nwammuo, 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, pp. 33-42.

A. González and R. Ordóñez, “Adaptive control scheme for plants with time-varying structure using on-line parameter estimation,” Proceedings of the 44th IEEE Conference on decision and control, and the European Control Conference 2005, Seville, Spain, 2005, pp. 2224-2229.

I. Barkana, “Simple adaptive control -a stable direct model reference adaptive control methodology – brief survey,” International Journal of Adaptive Control and Signal Processing, vol. 28, no. 7-8, pp. 567-603, 2013.

H. D. Ahlawat, M. P. Ranga Prasad, and R. P. Chauhan, “Antenna azimuthal position control using model predictive control,”in Proceeding of 2019 IEEE International Conference on Electrical, Computer and Communication Technologies, Coimbatore, India, 2019, pp. 1-6.

B. Anderson, A. Bennick, and M. Salciccioli, “MIMO using model predictive control,” LibreTexts Engineering. https://eng.libretexts.org/Bookshelves/Industrial_and_Systems_Engineering/Chemical_Process_Dynamics_and_Controls_(Woolf)/12%3A_Multiple_Input_Multiple_Output_(MIMO)_Control/12.03%3A_MIMO_using_model_predictive_control.

J. M. Lemon, L. M. Rato, and N. da Silva, “Experience of a predictive adaptive controller on pilot and industrial plants with transport phenomena,” Advanced Control of Processes with Transport Phenomena, pp.1-8, 2004.

A. Mitov, J. Kralev, T. Slavov, and I. Angelov, “Comparison of model predictive control (MPC) and linear-quadratic Gaussian (LQG) algorithm for electrohydraulic steering control system,” E3S Web of Conferences, vol. 207, p. 04001, 2020.

L. A. Aloo, P. K. Kihato, and S. I. Kamau, “DC servomotor-based antenna positioning control system design using hybrid PID-LQR controller,” European International Journal of Science and Technology, vol. 5, no. 2,pp. 17-31, 2016.

Y. Song, “Intelligent PID controller based on fuzzy logic control and neural network technology for indoor environment quality improvement,” PhD thesis, University of Nottingham, 2014.




DOI: http://dx.doi.org/10.12962/j23378557.v10i2.a20670

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