Sintonia adaptativa de algoritmos de controle de potência PID em redes ópticas passivas de próxima geração baseada em inteligência computacional

Abstract

In this work, is it proposed some power control strategies with adaptive auto-tuning for a distributed power control algorithms (DPCAs) proportional-integral-derivative (PID) using intelligent systems (IS): i) the Tyreus-Lyuben (TL) method; ii) particle swarm optimization (PSO); and iii) Adaline artificial neural network (AANN). The power control approach is realized for the upstream of next-generation passive optical networks (NGPON), especially to be deployed in the context of optical code division multiplexing access passive networks (OCDMA-PON). The main results demonstrate the ability of control and adaptive auto-tuning through of the TL, PSO and AANN methods considering realistic error estimates in the optical channel. The advantages and disadvantages of each method and its variations are evaluated.