Study of brushless excitation system parameters estimation based on improved genetic algorithm

@article{Feng2008StudyOB,
  title={Study of brushless excitation system parameters estimation based on improved genetic algorithm},
  author={Shen Feng and Xin Jianbo and Wu Guoping and Xie Yong-hong},
  journal={2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies},
  year={2008},
  pages={915-919}
}
For estimating the parameters of brushless excitation system including nonlinear blocks, in this paper, a new optimization method based on improved genetic algorithm (IGA) is developed. A practicable test method which performs the linear block parameters and nonlinear parameters estimation respectively is presented. First, the model of brushless excitation… CONTINUE READING