Adaptive Neuro-Fuzzy Inference System based speed controller for brushless DC motor

被引：79

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 | 2014年 / 138卷

关键词：

BLDC motor; Mathematical model of the BLOC motor; Proportional Integral controller; Fuzzy Variable Structure controller; Fuzzy Tuned PID controller; ANFIS controller; DRIVES;

D O I：

10.1016/j.neucom.2014.01.038

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, a novel controller for brushless DC (BLDC) motor has been presented. The proposed controller is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and the rigorous analysis through simulation is performed using simulink tool box in MATLAB environment. The performance of the motor with proposed ANFIS controller is analyzed and compared with classical Proportional Integral (PI) controller, Fuzzy Tuned PID controller and Fuzzy Variable Structure controller. The dynamic characteristics of the brushless DC motor is observed and analyzed using the developed MATLAB/simulink model. Control system response parameters such as overshoot, undershoot, rise time, recovery time and steady state error are measured and compared for the above controllers. In order to validate the performance of the proposed controller under realistic working environment, simulation result has been obtained and analyzed for varying load and varying set speed conditions. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：260 / 270

页数：11

共 50 条

[1] Hybrid adaptive neuro fuzzy based speed controller for brushless DC motor
Ramanathan, Prabhu (ishupa@gmail.com), 1600, Gazi Universitesi (30):
[2] Speed control of Brushless DC motor using bat algorithm optimized Adaptive Neuro-Fuzzy Inference System
Premkumar, K.
Manikandan, B. V.
APPLIED SOFT COMPUTING, 2015, 32 : 403 - 419
[3] An adaptive speed controller for induction motor drives using adaptive neuro-fuzzy inference system
Chao, Kuei-Hsiang
Shen, Yu-Ren
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF THEORETICAL AND METHODOLOGICAL ISSUES, 2007, 4681 : 381 - +
[4] Speed control of a brushless DC motor drive via adaptive neuro-fuzzy controller based on emotional learning algorithm
Niasar, AH
Vahedi, A
Moghbelli, H
ICEMS 2005: PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1-3, 2005, : 230 - 234
[5] Robust Speed Controller of PMSM based on Adaptive Neuro-Fuzzy Inference System
Pajchrowski, Tomasz
Zawirski, Krzysztof
PRZEGLAD ELEKTROTECHNICZNY, 2009, 85 (08): : 12 - 17
[6] Adaptive neuro-fuzzy controller for improved performance of a Permanent Magnet Brushless DC motor
Ushakumari, S
Sankaran, R
Nair, PSC
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 493 - 496
[7] ROBUST SPEED CONTROL OF BRUSHLESS DC MOTOR BASED ON ADAPTIVE NEURO FUZZY INFERENCE SYSTEM FOR ELECTRIC MOTORCYCLE APPLICATION
Suryoatmojo, Heri
Pratomo, Danis Rizky
Soedibyo
Ridwan, Mohamad
Riawan, Dedet Candra
Setijadi, Eko
Mardiyanto, Ronny
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2020, 16 (02): : 415 - 428
[8] Adaptive fuzzy logic speed controller for Brushless DC motor
Premkumar, K.
Manikandan, B. V.
2013 INTERNATIONAL CONFERENCE ON POWER, ENERGY AND CONTROL (ICPEC), 2013, : 290 - 295
[9] Brushless DC Motor Drive with Regenerative Braking using Adaptive Neuro based Fuzzy Inference System
Akhila, M.
Ratnan, P.
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT), 2016, : 748 - 751
[10] A neuro-fuzzy network-based controller for DC motor speed control
Tipsuwan, Y
Aiemchareon, S
IECON 2005: THIRTY-FIRST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, 2005, : 2433 - 2438

← 1 2 3 4 5 →