Authentication email has already been sent, please check your email box: and activate it as soon as possible.
You can login to My Profile and manage your email alerts.
If you haven’t received the email, please:
|
|
There are 2 papers published in subject: > since this site started. |
Results per page: |
Select Subject |
Select/Unselect all | For Selected Papers |
Saved Papers
Please enter a name for this paper to be shown in your personalized Saved Papers list
|
1. Analysis of operating characteristics for High-speed Railway Electric Motor Train Units under different operating conditions | |||
Wang Mengyao,Zhou Suquan | |||
Dynamic and Electronic Engineering 11 May 2017 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:The Electric Motor Train Units (EMU) load is the main load of the power traction system for high-speed railway, so the accuracy of line characteristic description has an important influence on establishing traction load model. This article designed the logical control strategy for traction drive system and set up a complete digital simulation model of the traction drive system for CRH2 EMU, and then analyzed the traction and braking characteristics under different operating conditions, for example, ideal operation, voltage fluctuation of power supply system and different line factors such as slopes, curves and tunnels. Simulation results show that the designed model is effective and accurate. | |||
TO cite this article:Wang Mengyao,Zhou Suquan. Analysis of operating characteristics for High-speed Railway Electric Motor Train Units under different operating conditions[OL].[11 May 2017] http://en.paper.edu.cn/en_releasepaper/content/4731666 |
2. Self-Constructing Feedback Fuzzy Neural Network based PMLSM Controller Design | |||
ZhangRu | |||
Dynamic and Electronic Engineering 24 April 2015 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (0 B) | |||
Abstract:Self-constructing feedback fuzzy neural network controller (SCFFNNC) is designed to aim at the parameter uncertainties for permanent magnet linear synchronous motor (PMLSM) since they cause negative influence to the dynamic performance of PMLSM servo system. The thought about self-constructing, in which the number of neurons for the whole structure can be able to increase on line according to the variety of error, is introduced based on combining the non-linear identification of fuzzy control with self-learning of neural network. It can reserve the self-learning abilities, improve the real-time performance for neural network and then enhance the dynamic performance of PMLSM. The simulation results show that the servo system for PMLSM based on SCFFNNC can realize quick response, high precision and strong robustness for the parameter uncertainties of PMLSM. | |||
TO cite this article:ZhangRu. Self-Constructing Feedback Fuzzy Neural Network based PMLSM Controller Design[OL].[24 April 2015] http://en.paper.edu.cn/en_releasepaper/content/4640459 |
Select/Unselect all | For Selected Papers |
Saved Papers
Please enter a name for this paper to be shown in your personalized Saved Papers list
|
Results per page: |
About Sciencepaper Online | Privacy Policy | Terms & Conditions | Contact Us
© 2003-2012 Sciencepaper Online. unless otherwise stated