International Journal of Applied Engineering Research

In this paper, an optimal controller for the control of DC voltage response of condenser of shunt active filter is designed by blending two artificial intelligence techniques, genetic algorithms and fuzzy control. We have simulated two converters (Diodes and Thyristors). Three control strategies are presented and compared which are: 1-the PQ theory proposed by Akagi et al., in 1983. 2-Synchronous detection algorithm (SDA). 3-An Instantaneous active and reactive current component id-iq method. The parameters of the fuzzy controller are optimized to minimize the quadratic error of DC voltage response of condenser. The genetic algorithm is based on binary genetic representation, a roulette wheel selection technique with elitist selection strategy and classic genetic operators: mutation and crossover. The performance of the resulting optimal controller is compared with performance obtained with standard and fuzzy design. The parameters subject to comparison are: Response time of DC voltage of condenser and source current THD. Improvement of response time affect THD which remainder under standard value for three control strategies of shunt active filter. Interesting results are obtained and compared.