More strategies were developed to control a Brushless Motor’s Speed. Among them, vector control is one of widely used. Variable Gain PI controller is developed and gives a performed control result. Fuzzy logic control is proposed to optimize the control system. In this paper, the system combines the performance of the Variable Gain PI and fuzzy logic controllers. All these strategies were simulated with Matlab and Simulink for comparison. Behind this, the main objective is to improve the best performance of the Fuzzy-Variable Gain PI mode control applied to a Brushless AC Motor drive where implementations, to an MSK23335 Board with a PM50 module and a 90W BLAC Motor, are shown to improve the result.
Published in | Engineering and Applied Sciences (Volume 4, Issue 1) |
DOI | 10.11648/j.eas.20190401.11 |
Page(s) | 1-10 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Brushless Motor, Variable Gain PI, Fuzzy Logic, Hybrid Controller
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APA Style
Fanambinantsoa Philibert Andriniriniaimalaza, Nirinarison Jean Razafinjaka, Charles Bernard Andrianirina. (2019). Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive. Engineering and Applied Sciences, 4(1), 1-10. https://doi.org/10.11648/j.eas.20190401.11
ACS Style
Fanambinantsoa Philibert Andriniriniaimalaza; Nirinarison Jean Razafinjaka; Charles Bernard Andrianirina. Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive. Eng. Appl. Sci. 2019, 4(1), 1-10. doi: 10.11648/j.eas.20190401.11
AMA Style
Fanambinantsoa Philibert Andriniriniaimalaza, Nirinarison Jean Razafinjaka, Charles Bernard Andrianirina. Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive. Eng Appl Sci. 2019;4(1):1-10. doi: 10.11648/j.eas.20190401.11
@article{10.11648/j.eas.20190401.11, author = {Fanambinantsoa Philibert Andriniriniaimalaza and Nirinarison Jean Razafinjaka and Charles Bernard Andrianirina}, title = {Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive}, journal = {Engineering and Applied Sciences}, volume = {4}, number = {1}, pages = {1-10}, doi = {10.11648/j.eas.20190401.11}, url = {https://doi.org/10.11648/j.eas.20190401.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eas.20190401.11}, abstract = {More strategies were developed to control a Brushless Motor’s Speed. Among them, vector control is one of widely used. Variable Gain PI controller is developed and gives a performed control result. Fuzzy logic control is proposed to optimize the control system. In this paper, the system combines the performance of the Variable Gain PI and fuzzy logic controllers. All these strategies were simulated with Matlab and Simulink for comparison. Behind this, the main objective is to improve the best performance of the Fuzzy-Variable Gain PI mode control applied to a Brushless AC Motor drive where implementations, to an MSK23335 Board with a PM50 module and a 90W BLAC Motor, are shown to improve the result.}, year = {2019} }
TY - JOUR T1 - Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive AU - Fanambinantsoa Philibert Andriniriniaimalaza AU - Nirinarison Jean Razafinjaka AU - Charles Bernard Andrianirina Y1 - 2019/02/27 PY - 2019 N1 - https://doi.org/10.11648/j.eas.20190401.11 DO - 10.11648/j.eas.20190401.11 T2 - Engineering and Applied Sciences JF - Engineering and Applied Sciences JO - Engineering and Applied Sciences SP - 1 EP - 10 PB - Science Publishing Group SN - 2575-1468 UR - https://doi.org/10.11648/j.eas.20190401.11 AB - More strategies were developed to control a Brushless Motor’s Speed. Among them, vector control is one of widely used. Variable Gain PI controller is developed and gives a performed control result. Fuzzy logic control is proposed to optimize the control system. In this paper, the system combines the performance of the Variable Gain PI and fuzzy logic controllers. All these strategies were simulated with Matlab and Simulink for comparison. Behind this, the main objective is to improve the best performance of the Fuzzy-Variable Gain PI mode control applied to a Brushless AC Motor drive where implementations, to an MSK23335 Board with a PM50 module and a 90W BLAC Motor, are shown to improve the result. VL - 4 IS - 1 ER -