Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor-Reference-Cited by-同舟云学术

Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor

Published:2021-07-21 Issue: Volume:15 Page:63-72
ISSN:1998-4316
Container-title:International Journal of Energy
language:en
Short-container-title:

Author:

Abdelfattah Hany¹

Affiliation:

1. Suuez University, Suez, Egypt

Abstract

The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The propotional-integral (PI) and fuzzy system controllers are developed., based on designer’s test and error process and experts. The experimential and hardware resuts for the inverter- driver circuits are presented. The simulation results using MATLAB simulink are conducted to validate the proposed (ANFIS) controller’s robustness and high performance relative to other controllers.

Publisher

North Atlantic University Union (NAUN)

Reference13 articles.

1. Ahmed, A. M., Ali-Eldin, A., Elksasy, M. S., & Areed, F.F. (2015). Brushless DC motor speed control using both PI controller and fuzzy PI controller. International Journal of Computer Applications, 109(10), 29-35.

2. Tiwari, N., RITEE, R. C., & Diwan, R. Speed Control of Brushless DC Motor using Fuzzy and Neuro Fuzzy.

3. K. Sarojini Devi, R. Dhanasekaran., “Improvement of Speed Control Performance in BLDC Motor Using Fuzzy PID Controller,” Int. Conf. Adv. Commun. Control Comput. Technol, 978: 1- 5, 2016.

4. Kandiban R, Arulmozhiyal R, “Speed control of BLDC motor using adaptive fuzzy PID controller”. International conference on Modeling, Optimization and computing, Elsevier, pp 306-313, 2012.

5. Yuanxi W, Yali Y, Guosheng Z, Xiaoliang S, “Fuzzy Auto-adjust PID Controller Design of Brushless DC Motor”. International conference on Medical Physics and Biomedical Engineering, Elsevier, pp 1533-1539, 2012.