Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor

被引：76

作者：

Premkumar, K. ^{[1
]}

Manikandan, B. V. ^{[2
]}

机构：

[1] Pandian Saraswathi Yadav Engn Coll, Dept Elect & Elect Engn, Sivagangai 630561, Tamil Nadu, India

[2] Mepco Schlenk Engn Coll, Dept Elect & Elect Engn, Sivakasi 626005, Tamil Nadu, India

来源：

NEUROCOMPUTING | 2015年 / 157卷

关键词：

Brushless dc motor; PID controller; Anti wind up PID controller; Fuzzy PID controller; Offline ANFIS; Online ANFIS; SYSTEM; NETWORK;

D O I：

10.1016/j.neucom.2015.01.032

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, two different speed controllers i.e., fuzzy online gain tuned anti wind up Proportional Integral and Derivative (PID) controller and fuzzy PID supervised online ANFIS controller for the speed control of brushless dc motor have been proposed. The control system parameters such as rise time, settling time, peak time, recovery time, peak overshoot and undershoot of speed response of the brushless dc motor with the proposed controllers have been compared with already published controllers such as anti wind up PID controller, fuzzy PID controller, offline ANFIS controller, PID supervised online ANFIS controller and On-line Recursive least square error back propagation algorithm based ANFIS controller. In order to validate the effectiveness of the proposed controllers, the brushless dc motor is operated under constant load condition, varying load conditions and varying set speed conditions. The simulation results under MATLAB environment have predicted better performance with fuzzy PID supervised online ANFIS controller under all operating conditions of the drive. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：76 / 90

页数：15

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