文件名称:5_3_8
-
所属分类：
- 标签属性：
- 上传时间：2012-11-16
-
文件大小：2.96mb
-
已下载：0次
-
提 供 者：
-
相关连接：无下载说明：别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容来自于网络，使用问题请自行百度
In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of
Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)
controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in
switching select stator voltage. We estimated the rotor speed by using the Model Reference
Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,
stator flux and current ripples and especially improve system good dynamic performance and
robustness in high and low speeds-In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of
Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)
controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in
switching select stator voltage. We estimated the rotor speed by using the Model Reference
Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,
stator flux and current ripples and especially improve system good dynamic performance and
robustness in high and low speeds..
Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)
controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in
switching select stator voltage. We estimated the rotor speed by using the Model Reference
Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,
stator flux and current ripples and especially improve system good dynamic performance and
robustness in high and low speeds-In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of
Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)
controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in
switching select stator voltage. We estimated the rotor speed by using the Model Reference
Adaptive Systems (MRAS). The control method proposed in this paper can reduce the torque,
stator flux and current ripples and especially improve system good dynamic performance and
robustness in high and low speeds..
(系统自动生成,下载前可以参看下载内容)
下载文件列表
5_3_8.pdf
本网站为编程资源及源代码搜集、介绍的搜索网站，版权归原作者所有！ 粤ICP备11031372号
1999-2046 搜珍网 All Rights Reserved.