Research on brushless DC motor control system based on fuzzy parameter adaptive PI algorithm-Reference-Cited by-同舟云学术

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Research on brushless DC motor control system based on fuzzy parameter adaptive PI algorithm

Published:2020-10-01 Issue:10 Volume:10 Page:105208
ISSN:2158-3226
Container-title:AIP Advances
language:en
Short-container-title:AIP Advances

Author:

Yin Hongqiao¹^ORCID,Yi Wenjun¹,Wang Kangjian¹^ORCID,Guan Jun²,Wu Jintao³

Affiliation:

1. National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China

2. School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China

3. Beijing Institute of Astronautical System Engineering, China Academy of Launch Vehicle Technology, Beijing 100076, China

Funder

Postgraduate Research Practice Innovation Program of Jiangsu Province

National Nature Science Foundation of China

Chinese Postdoctoral Science Foundation

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0025000

Reference28 articles.

1. Switching-Gain Adaptation Current Control for Brushless DC Motors

2. Loss model based efficiency optimized control of brushless DC motor drive

3. Design and application of a novel high precision and low cost electronic tachogenerator for sensor-based brushless direct current motor drivers

4. A Position Sensorless Control Strategy for the BLDCM Based on a Flux-Linkage Function

5. Modeling, simulation, and analysis of permanent-magnet motor drives. II. The brushless DC motor drive

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2. Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System;Journal of Electrical and Computer Engineering;2023-08-25

3. Adaptive PI control of ultrasonic motor using iterative learning methods;ISA Transactions;2023-08

4. An Improved Differential Evolution Adaptive Fuzzy PID Control Method for Gravity Measurement Stable Platform;Sensors;2023-03-16

5. Dynamic Characteristics of Electromechanical Coupling and Fuzzy Control of Intelligent Joints for Robot Drive and Control;Journal of Computing and Information Science in Engineering;2023-01-09

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