Improving Voltage Regulation and Harmonic Elimination using Genetic Algorithm in PWM Choppers

Asymmetrical PWM for Harmonics Reduction and Power Factor Improvement in PWM AC Choppers Using Bee Colony Optimization

“…2(b). These are obtained with various heuristic approaches including GA, PSO, ANN [7]- [14] and BCO [18] for the improvement of the THD o and the PF i . However, these techniques only meet the optimal PWM switching angles in the region 0-p/2.…”

“…Recently, artificial intelligent techniques have been used to find the optimal switching angles of PWM patterns. They have been obtained with the use of a genetic algorithm (GA) [7], [8], particle swarm optimization (PSO) [9], [10], artificial neural network (ANN) [11], genetic algorithm and artificial neural network [12], [13], particle swarm optimization and artificial neural network [14], etc. However, in these papers, the solution of the switching angle is obtained in the quarter cycle 0-p/2, which may lead to a suboptimal solution.…”

Voltage control of single-phase induction motors using asymmetrical PWM and fuzzy logic

“…Numerous algorithms and techniques have been proposed for the derivation of optimal switching angles of PWM patterns. Methods like genetic algorithms [9], [10] neural networks [11], particle swarm optimization [12], bee colony optimization [13] and their combinations [14] have been studied. A model of the proposed regulator is usually specified and the selected algorithm runs for a given set of output voltages, deriving the corresponding optimal switching angles with the purpose to achieve a given objective, usually the minimization of total harmonic distortion (THD) of the output current.…”