Online Fuzzy Supervised Learning of Radial Basis Function Neural Network Based Speed Controller for Brushless DC Motor

被引：4
|
作者：
Premkumar, K. [1 ]
Manikandan, B. V. [2 ]
机构：
[1] Pandian Saraswathi Yadav Engn Coll, Sivagangai, Tamil Nadu, India
[2] Mepco Schlenk Engn Coll, Sivakasi, Tamil Nadu, India
来源：
POWER ELECTRONICS AND RENEWABLE ENERGY SYSTEMS | 2015年 / 326卷
关键词：
BLDC motor; PID controller; Fuzzy PID controller; Online radial basis function neural network controller;
D O I：
10.1007/978-81-322-2119-7_136
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, Online Fuzzy Logic Supervised Learning of Radial Basis Function Neural Network (RBFNN) based speed controller for Brushless DC (BLDC) motor is presented. The Fuzzy PID controller is acting as supervisor for RBFNN controller. Dynamic speed response is analyzed for BLDC motor with conventional PID controller and proposed controller. Rise time, peak overshoot, recovery time and steady state error are measured and analyzed for above controller. From the results, the proposed controller outperforms than PID controller.
引用
收藏
页码：1397 / 1405
页数：9
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