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Original Research
Online Published: 03 May 2023
 


Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm

E. E. Idenyi1, I. M. Dagwa, M. O. Afolayan.


Abstract
Proportional-Integral-Derivative (PID) controller’s parameters for deep space antenna positioning system were optimized
using Genetic Algorithm (GA). The use of GA resulted in the optimum controller parameters being selected for the system
every time. Matlab/ Simulink environment was used in determining the optimum value for its parameters. Simulation result
showed that the performance of the optimized PID Controller gave a response values of 2.2412sec rise time, 2.9861sec
settling time and 0% overshoot and undershoot and is comparably better than the conventionally, Zeigler-Nichols method,
tuned controller response values of 0.8568sec rise time, 9.2289sec settling time, 66.3812% overshoot and 23.1264%
undershoot at an amplifier gain value of 100 for both method. Results for different amplifier gain values also show that the
system response at an amplifier gain of 250 produced the best response in terms of rise time, settling time and overshoot but
has a problem of distorted response in its transient state characteristics.

Key words: Deep Space Antenna, Genetic Algorithm (GA), Proportional-Integral-Derivative (PID) Controller, Optimization, Tuning.


 
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How to Cite this Article
Pubmed Style

Idenyi EE, Dagwa IM, Afolayan MO. Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm. NJE. 2018; 25(1): 47-54.

Web Style

Idenyi EE, Dagwa IM, Afolayan MO. Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm. https://www.njeabu.com.ng/?mno=152025 [Access: June 23, 2026].

AMA (American Medical Association) Style

Idenyi EE, Dagwa IM, Afolayan MO. Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm. NJE. 2018; 25(1): 47-54.


Vancouver/ICMJE Style

Idenyi EE, Dagwa IM, Afolayan MO. Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm. NJE. (2018), [cited June 23, 2026]; 25(1): 47-54.


Harvard Style

Idenyi, E. E., Dagwa, . I. M. & Afolayan, . M. O. (2018) Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm. NJE, 25 (1), 47-54.


Turabian Style

Idenyi, E. E., I. M. Dagwa, and M. O. Afolayan. 2018. Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm. Nigerian Journal of Engineering, 25 (1), 47-54.


Chicago Style

Idenyi, E. E., I. M. Dagwa, and M. O. Afolayan. "Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm." Nigerian Journal of Engineering 25 (2018), 47-54.


MLA (The Modern Language Association) Style

Idenyi, E. E., I. M. Dagwa, and M. O. Afolayan. "Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm." Nigerian Journal of Engineering 25.1 (2018), 47-54. Print.


APA (American Psychological Association) Style

Idenyi, E. E., Dagwa, . I. M. & Afolayan, . M. O. (2018) Optimization of PID Controller Parameters for Deep Space Antenna Positioning System using Genetic Algorithm. Nigerian Journal of Engineering, 25 (1), 47-54.


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