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Reduction of Large Scale Linear Dynamic MIMO Systems Using ACO-PID Controller
Reducción de sistemas MIMO dinámicos lineales a gran escala mediante el controlador ACO-PID
DOI:
https://doi.org/10.15446/ing.investig.106657Keywords:
LS-MIMO, model order reduction (MOR), PID controller, ant colony optimization (en)LS-MIMO, reducción del orden del modelo (MOR), controlador PID, optimización por colonias de hormigas (es)
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The MIMO technique is an essential element in the standards of communication systems (IEEE 802.11n, IEEE 802.11ac, WiMAX, and LTE) because it helps to increase their capacity. This paper employs a model order reduction (MOR) technique with a PID controller, an ACO algorithm, and the ITAE fitness function to reduce the large-scale linearity of the MIMO technique. The numerator and denominator parameters are set by minimizing the ITAE fitness function between the transient responses of the original and the reduced model. The objectives are achieved with the PID controller and the ACO algorithm for the unit step input. The simulation results show a good system performance. The controller performance is presented with regard to the dynamic response in terms of rising time, settling time, and overshoot/undershoot. Moreover, the results of the proposed method are compared with four literature reports for validation purposes. Evaluating the parameters within the time frame and the error values with and without the PID controller and ACO algorithm allowed validating the functioning of the proposed method. Furthermore, the simulation results revealed that the proposed scheme exhibited sufficient robustness and demonstrated a reduction in the time-domain response and error values.
La técnica MIMO es un elemento esencial en los estándares de sistemas de comunicación (IEEE 802.11n, IEEE 802.11ac, WiMAX y LTE) porque ayuda a aumentar la capacidad del sistema. En este trabajo se utiliza una técnica de reducción del orden del modelo (MOR) con un controlador PID, un algoritmo ACO y la función fitness de ITAE para reducir la linealidad de gran escala de la técnica MIMO. Los parámetros del numerador y denominador se establecen minimizando la función de aptitud de ITAE entre las respuestas transitorias del modelo original y el modelo reducido. Se alcanzan los objetivos con el controlador PID y el algoritmo ACO para la entrada de paso unitario. Los resultados de la simulación muestran un buen rendimiento del sistema. El rendimiento del controlador se presenta con base en la respuesta dinámica en términos de tiempo de subida, tiempo de asentamiento y sobreimpulso y subimpulso. Además, los resultados del método propuesto se comparan con cuatro reportes de la literatura para su validación. La evaluación de los parámetros en el marco temporal y de los valores de error con y sin el controlador PID y el algoritmo ACO permitió comprobar el funcionamiento del método propuesto. Asimismo, los resultados de la simulación revelaron que el esquema propuesto presentaba suficiente robustez y demostraba una reducción de la respuesta en el dominio temporal y de los valores de error.
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Copyright (c) 2024 Jafaar Mohammed Alkhasraji, Salam W. Shneen, Mohammed Q. Sulttan
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