Improvement of output voltage and input current for a matrix converter using genetic algorithm

Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System

“…Te researchers have developed many soft computing strategies in the literature to reduce the harmonics in the grid-connected matrix converters. For optimizing the cost function in soft computing, numerous optimization techniques are suggested, such as PSO [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], fuzzy logic [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31], neuro-fuzzy [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], genetic algorithm …”

New configurations of power converters for grid interconnection systems

“…As reviewed in [38], the most used techniques are Venturini, carrier-based pulse width modulation (PWM), space vector modulation (SVM) and direct torque control (DTC) [38]- [43]. Other methods that have been applied to MCs in specific applications are fuzzy control, neural networks and genetic algorithms [44]- [46]. Predictive control has shown to be a very interesting alternative for control MCs because the use of the discrete nature of power converters and its simplicity for implementation and intuitive approach [36], [37], [47].…”