Comparative Study between Cost Functions of Genetic Algorithm Used in Direct Torque Control of a Doubly Fed Induction Motor

The proportional integral derivative (PID) regulator is the most often utilized controller in industry due to its benefits. It permits linear systems operate well, but it causes non-linear behavior when system subjected physical variable circumstances, such as temperature and saturation. A PID insufficient this case. (PI) inside direct torque control (DTC) regulates speed of doubly fed induction motor (DFIM). However, consisting DTC a DFIM multivariable parameters, resulting undesirable overshoots ripples. As result, several approaches are used improve DTC’s robustness. integration optimization methods was discovered. These algorithms provide gains that near-optimal, bringing closer ideal state order accomplish effective control. This article focuses on comparative study different objective functions, have very behaviors, by using genetic algorithm. Agenetic algorithm (GA) presented for adjusting optimal parameters DFIM, utilizing functions square error (ISE), time absolute (ITAE), (IAE), employed independently weighted combination. offers comparison which will be future research into another technique type. Matlab/Simulink construct novel hybrid structure based GA-DTC intelligent simulation results demonstrated efficiency with combination, providing acceptable performance respect rapidity, precision, stability, well an improvement 14.53% rejection reduction, fewer ripples flux stator rotor 27.88%, 15.13%, 4.375%, respectively, respective increases 32.45% 71% THDs currents, acceptable.