FPGA Implementation of Optimum Switching Angle Control for Shunt Active Filter using ANNSVPWM

Shunt Active Power Filters in Three-Phase, Three-Wire Systems: A Topical Review

“…The soft-computing-based methods offer robust and low-cost solutions for situations characterized by imprecision and uncertainty, and they are either learning techniques or techniques inspired by natural phenomena. This category includes complex techniques such as fuzzy logic control algorithm, artificial neural network (ANN), adaptive linear neurons (ADALINE), genetic algorithm (GA), particle swarm optimization (PSO), bacterial foraging optimization (BFO), ant colony optimization (ACO), grey wolf optimizer (GWO), and cuckoo search algorithm (CSA) [2,8,20,32,[34][35][36][37][38][39][40][41][42][43]. There are also possible combinations of these methods, like the adaptive neuro-fuzzy control algorithm, fuzzy-genetic algorithm, adaptive neuro-fuzzy inference system (ANFIS), and hybrid particle swarm optimization-grey wolf optimization (PSO-GWO) [8,31,32].…”

“…In this way, the fundamental of the distorted current and the total harmonic current to be compensated can be easily identified (Figure 9). An alternative is the direct extraction of the current to be compensated through a highpass filter (HPF) [41,154]. The SRF-based method is frequently adopted to generate the reference current due to the small computation required and low complexity in implementation [41,46,146,154,160].…”

“…An alternative is the direct extraction of the current to be compensated through a highpass filter (HPF) [41,154]. The SRF-based method is frequently adopted to generate the reference current due to the small computation required and low complexity in implementation [41,46,146,154,160]. However, when the supply voltages are imbalanced and/or distorted, the design of the PLL circuit is more difficult.…”

“…Although there are many new contributions that fall into the time-domain and frequency-domain methods for the reference current calculation, most ideas and contributions in recent years refer to methods from the so-called soft-computing category [2,[31][32][33]. They are either learning techniques or techniques inspired by natural phenomena [2,8,20,32,[34][35][36][37][38][39][40][41][42][43].…”

“…Several modulation strategies can be used to generate the control pulses for the power semiconductor devices, starting with the carrier-based sine-triangle PWM, which is the typical PWM technique, and then with the newer technique named Space Vector Pulse Width Modulation and its different variations [2,41,[96][97][98].…”