A Black-Box Model for Estimation of the Induction Machine Parameters Based on Stochastic Algorithms

摘要: Knowledge on asynchronous machine parameters resistances, inductances' has become necessary for the manufacturing industry in interest of optimizing performances a production system roll-to-roll processing, wind generator'. Indeed, accurate values this allow improving control torque, speed and position, managing power consumption best way possible, predicting induction failures with great effectiveness. In these regards, authors paper propose black-box modeling powerful identification relying stochastic research algorithms. The algorithms used estimation process are single objective genetic algorithm, well-known NSGA II new ?-NSGA III multi-objective Results provided by those show that machines is given III. addition, outcome confirmed performing three different machines.