Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive
Engineering and Applied Sciences
Volume 4, Issue 1, February 2019, Pages: 1-10
Received: Dec. 10, 2018;
Accepted: Jan. 11, 2019;
Published: Feb. 27, 2019
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Fanambinantsoa Philibert Andriniriniaimalaza, Higher Polytechnic School, University of Antsiranana, Antsiranana, Madagascar
Nirinarison Jean Razafinjaka, Higher Polytechnic School, University of Antsiranana, Antsiranana, Madagascar
Charles Bernard Andrianirina, Science and Technology’s Higher Institute, University of Mahajanga, Mahajanga, Madagascar
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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.
Brushless Motor, Variable Gain PI, Fuzzy Logic, Hybrid Controller
To cite this article
Fanambinantsoa Philibert Andriniriniaimalaza,
Nirinarison Jean Razafinjaka,
Charles Bernard Andrianirina,
Fuzzy-Variable Gain PI Mode Control Applied to a Brushless AC Motor Drive, Engineering and Applied Sciences.
Vol. 4, No. 1,
2019, pp. 1-10.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Morlaye Sekou CAMARA and al., «Modélisation et commande d’une génératrice synchrone à aimant permanant pour la production et l’injection des énergies offshores dans un réseau», Symposium de génie électrique. 8-9 juillet 2014, Cachan.
Gwo-Jen Chiou, Jeng-Yue Chen, Yao-Chun Tung, Fuh-Shyang Juang, "Implementation of a novel brushless DC motor controller", The 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), Siem Reap, Cambodia, 2017.
O. Sandre-Hernandez, J. J. Rangel-Magdaleno, R. Morales-Caporal, "Implementation of direct torque control for a PM synchronous machine based on FPGA", Power Electronics (CIEP) 2016 13th International Conference on, pp. 155-160, 2016.
W. K. WIBOWO, S. JEONG, "Genetic algorithm tuned PI controller on PMSM simplified vector control", Berlin Heidelberg, 2013.
Razafinjaka and al., “Commande par PI à gain variable d’un système Eolien à base de génératrice Asynchrone à double alimentation”, Conférence International Plasma et Energies, (CIPE) 2016. 37-39.
Andriniriniaimalaza and al., Parameter Optimization for a fuzzy logic control of a Permanent Magnet Brushless Motor, the 10th International Symposium on Advanced Topics in Electrical Engineering, March 23-25, 2017, Bucharest, Romania. Availlable: https://ieeexplore.ieee.org/document/7905123M.
Bapayya Naidu Kommula, Venkata Reddy Kota, Mathematical modeling and fuzzy logic control of a brushless DC motor employed in automobile and industrial applications, IEEE First International Conference on Control, Measurement and Instrumentation (CMI), Kolkata, India, 2016.
Razafinjaka and al., Fuzzy-Variable Gain PI Control of WECS based on a Doubly Fed Induction Generator, The international Conference on Modelling and Applied Simulation, 2017. 51.
Meixi Wu, Yuchi Lin, Control System of Two-phase Brushless DC Gyro Motor Based on DSP, The Second International Conference on Instrumentation, Measurement, Computer, Communication and Control, Harbin, China, 2012.
Ali Mousmi, Ahmed Abbou, Yassine El Houm, Trapezoidal control of Brushless DC motor based on DSP F28335, International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), Fez, Morocco, 2017.