Vector control of induction machine using PI controller optimized by genetic algorithms

This paper studies vector control of induction machine (IM) fed by PWM inverter. Indirect field oriented control is one of the most effective vector control due to the simplicity of design and implementation. The application of this strategy is achieved by using of proportional-integral (PI) controllers. The parameters of these controllers are calculated directly from the machine settings using conventional analytical methods, which require careful calculation and good knowledge of all machine parameters. The aim of our investigation is to try to optimize the controller´s parameters using genetic algorithm (GA) which is tested in the first case for the speed controller. The simulation of the vector control by conventional controllers using Matlab/Simulink is compared to that by PI-GA. The obtained results for tracking and control tests show the effectiveness of the proposed controller (PI-GA).