Application Research of Fuzzy PID Control Optimized by Genetic Algorithm in Medium and Low Speed Maglev Train Charger
China’s railways are developing rapidly, and the charger of the auxiliary power supply system is an indispensable part of the maglev train. The existing maglev train charger usually uses the traditional PID controller to control the output of the charger which has a simple structure. To m...
Guardado en:
Autores principales: | Li Zhang, Liwei Zhang, Jiawei Yang, Ming Gao, Yinghua Li |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0cd33d7ff28941a8967546e030a3d21f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Adjoint Optimization Method for Head Shape of High- Speed Maglev Train
por: H. C. Li, et al.
Publicado: (2021) -
Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms
por: Ghada Adel Aziz
Publicado: (2017) -
Onboard Battery Chargers for Plug-in Electric Vehicles With Dual Functional Circuit for Low-Voltage Battery Charging and Active Power Decoupling
por: Hoang Vu Nguyen, et al.
Publicado: (2018) -
Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
por: Yasir Khudhair Abbas
Publicado: (2012) -
Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage
por: Yasir Khudhair Abbas
Publicado: (2012)