Gaussian adaptive PID control optimized via genetic algorithm applied to a step-down DC-DC converter

@article{Puchta2016GaussianAP,
  title={Gaussian adaptive PID control optimized via genetic algorithm applied to a step-down DC-DC converter},
  author={Erickson D. P. Puchta and Ricardo Dantas de Lucas and Felipe Varella Ferreira and Hugo Valadares Siqueira and Mauricio dos S. Kaster},
  journal={2016 12th IEEE International Conference on Industry Applications (INDUSCON)},
  year={2016},
  pages={1-6}
}
In this paper, the proposal of an adaptive PID based on Gaussian functions is presented. Gaussian functions are of interest because they are smooth, with smooth derivatives, upper and lower bounded and with an adjustable concavity. The resulting Gaussian Adaptive PID (GAPID) have six parameters to be defined, that are optimized for the lowest settling-time… CONTINUE READING