The third-order induction motor parameter estimation using an adaptive genetic algorithm
Xiaoyao Zhou, Haozhong Cheng, Ping Ju · 2003
Presents an adaptive genetic algorithm for third-order induction motor model parameter estimation. The crossover and mutation probability of the adaptive genetic algorithm change according to the fitness statistics of the population at each generation. The proposed algorithm can enhance the convergence performance of the genetic algorithm and prevent a premature problem. This algorithm is successfully applied to the third-order induction motor model parameter estimation.