Experimental Evaluation of Fuzzy logic based Five Phase PMBLDC motor drive

M. A. Inayathullaah; R. Anita

doi:10.15866/iree.v9i4.2230

Experimental Evaluation of Fuzzy logic based Five Phase PMBLDC motor drive

M. A. Inayathullaah^(1*), R. Anita⁽²⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iree.v9i4.2230

Abstract

This paper presents a comparison between two types of control algorithms for a five phase PMBLDC motor used for low power and high torque applications. It presents a fuzzy logic control (FLC) and a classical proportional integral (PI) control. Owing to the simplicity and effectiveness, the proportional integral (PI) controller is widely used in speed control of permanent magnet Brushless DC motor (PMBLDC) drive. However, the disadvantage of the PI controller is its poor capacity in dealing with system uncertainties. Simulation results are presented and analyzed for both the controllers. It is observed that fuzzy logic based controller gives better dynamic responses than the traditional PI controller. Experimental results validate the simulation results.
Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords

Five Phase Brushless DC Motors; Permanent Magnet (PM) Motors; Fuzzy Logic; PI Controller

Full Text:

PDF

References

J. R. Hendershot, J. E. Miller, Design of Brushless Permanent Magnet Motor (Oxford Science, 1994).

T. Kenjo, S. Nagamori, Permanent Magnet and Brushless DC Motors (Tokyo Sogo Electronics, 1984).

Hao Xiong, Qiang Wu, Yuqi Rang, Guangwei Meng, Huaishu Li, Libing Zhou, Analysis and simulation of high power multi-phase BLDC motor, 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), Aug. 8-10, 2011.

O. Karasakal, E. Yesl, M. Guzelkaya, I. Eksin, Implementation of a New Self-Tuning Fuzzy PID Controller on PLC, Turkish Journal of Electrical Engineering, vol. 13 n. 2, 2005, pp. 277 –286 .

Xiaoyan Huang, Andrew Goodman, Chris Gerada, Design of Five-Phase Brushless DC motor for a safety Critical Aerospace Application, IEEE Transactions on Industrial Electronics, vol. 59, n.9,2012, pp.3532-3541.
http://dx.doi.org/10.1109/TIE.2011.2172170

Guillemin. P, Fuzzy logic applied to motor control, IEEE Transaction on Industrial Application, vol. 32, n. 1,1996, pp.51–56.
http://dx.doi.org/10.1109/28.485812

Inayathullaah, M.A., Anita, R., Advanced simulation model of five phase PMBLDC motor drive for low power high torque applications, (2012) International Review on Modelling and Simulations (IREMOS), 5 (5), pp. 2136-2145.

Chee Shen Lim, Levi, E., Jones, M., Rahim, N.A., Hew, W.P., FCS-MPC-Based Current Control of a Five-Phase Induction Motor and its Comparison with PI-PWM Control, IEEE Transactions on Industrial Electronics, vol. 61, n.1, 2014, pp.no.149-163.

JSR Jang, CT Sun, E Mizutani, Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence (Prentice hall, 1997).

Yuan Zhou, Ming-shan Liu, Li-shuang Hu, Zi-da Zhang, Application of fuzzy five states control system base on phase plane in steer by wire system of loader, Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Aug. 10-12, 2010, Changchun, China.

Mirzaei, H., Pahlavani, M.A., Naderi, P., Comparison of direct torque control of BLDC motor with minimum torque ripple in four and six-switch inverters, (2013) International Review of Electrical Engineering (IREE), 8 (3), pp. 971-980.

Ibrahim, Z., Isa, S.N.M., Lazi, J.M., Talib, M.H.N., Simplified fuzzy logic speed controller for vector controlled permanent magnet synchronous motor drives, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 104-113.

Paulusova, J., Dubravska, M., Neuro-fuzzy predictive control, (2012) International Review of Automatic Control (IREACO), 5 (5), pp. 667-672.

Hamidia, F., Larabi, A., Boucherit, M.S., Speed controller for PMSM drive based on fuzzy logic: Comparison of four techniques, (2012) International Review of Automatic Control (IREACO), 5 (2), pp. 195-201.

Cherifi, D., Miloud, Y., Tahri, A., New fuzzy luenberger observer for performance evaluation of a sensorless induction motor drive, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 381-392.

Ibrahim, H.E.A., Elnady, M.A., A comparative study of PID, fuzzy, fuzzy-PID, PSO-PID, PSO-fuzzy, and PSO-fuzzy-PID controllers for speed control of DC motor drive, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 393-403.

Bejomeh, M.Y., Ganji, B., Kouzani, A.Z., Evaluation of analogue PID, digital PID and fuzzy controllers for a servo system, (2012) International Review of Automatic Control (IREACO), 5 (2), pp. 255-261.

Laoufi, C., Abbou, A., Sayouti, Y., Akherraz, M., Self tuning fuzzy logic speed controller for performance improvement of an indirect field-oriented control of induction machine, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 464-471.

Bennassar, A., Abbou, A., Akherraz, M., Barara, M., Fuzzy logic speed control for sensorless indirect field oriented of induction motor using an extended Kalman filter, (2013) International Review of Automatic Control (IREACO), 6 (3), pp. 332-339.

Sabzehmeidani, Y., Mailah, M., Hussein, M., Gatavi, E., Md Zain, M.Z., A hybrid fuzzy-based robust controller for pneumatically actuated micro robot, (2010) International Review on Modelling and Simulations (IREMOS), 3 (6), pp. 1308-1316.

Lalalou, R., Bahi, T., Bouzekri, H., Sensorless indirect vector controlled induction motor using fuzzy logic control of speed estimation and stator resistance adaptation, (2010) International Review on Modelling and Simulations (IREMOS), 3 (3), pp. 325-330.

Refbacks

There are currently no refbacks.

Username
Password
Remember me