Abstract
References
- Xiaoyan Huang, A. Goodman, C. Gerada, Youtong Fang and Qinfen Lu, "Design of a Five-Phase Brushless DC Motor for a Safety Critical Aerospace Application", IEEE Trans. Ind. Electron., vol. 59, no. 9, pp. 3532-3541, 2012
- F. Aghili, "Fault-Tolerant Torque Control of BLDC Motors", IEEE Transactions on Power Electronics, vol. 26, no. 2, pp. 355-363, 2011
- J. Rai, "Speed Control of Dc Motor Using Fuzzy Logic Technique", IOSR Journal of Electrical and Electronics Engineering, vol. 3, no. 6, pp. 41-48, 2012
- A. Uysal and R. Bayır, "Design and Implementation of Switched Reluctance Motor Driver for Industrial Controller", in 4th International Conference on Power Engineering, Energy and Electrical Drives, 2013, pp. 770-774.
- İ. Özkan, İ. Sarıtaş and S. Herdem, "The Control Of A Dc Motor By Fuzzy Logic Controller", e-Journal of New World Sciences Academy, vol. 6, no. 2, pp. 533-541, 2011
- R. Dorf and R. Bishop, Modern control systems. Upper Saddle River, NJ: Prentice Hall, 2001.
- L. Zadeh, "Fuzzy sets as a basis for a theory of possibility", Fuzzy Sets and Systems, vol. 1, no. 1, pp. 3-28, 1978.
Implementation of Fuzzy Logic Based Speed Control of Brushless Direct Current Motors via Industrial PC
Abstract
The brushless direct current motors are often preferred in the industry
due to their high development torques, efficiencies, speed and position
controls. Especially, they are used with robotic, numeric-controlled machines,
electrical vehicles, etc. One of the biggest difficulties of these motors is
the closed loop operation of these motors with driver circuits and a
controller. In this study, the speed control of the brushless direct current
motors was made with PLC-based industrial computer by using the methods of PID
and Fuzzy Logic. PLC based industrial computer of Beckhoff firm CX9020 was
preferred as a controller. In this industrial computer, the software of the
controller was developed by using Structured Text programming language of
Twincat 2.11 program. In experimental studies, the speed control of the
brushless direct current motors is made with PID and fuzzy logic controller,
according to the requested reference. The performances of the controllers were
tested by using step, ramp and ladder functions. While PID controller gave
better results in reference speed areas whose parameters were determined, fuzzy
logic controller gave better results in variable references. Although PID is
given as a ready block in PLC and PLC based controllers, fuzzy logic is under
development in many of them. In this study, classical PLCs and PLC based
industrial PCs, which did not have any fuzzy logic controller module, were
transformed into intelligent controllers with Structured Text programming
language. As a result of this, classical PLCs and PLC based industrial PCs can
be used in intelligent control, which is very important for industry 4.0.
Keywords
References
- Xiaoyan Huang, A. Goodman, C. Gerada, Youtong Fang and Qinfen Lu, "Design of a Five-Phase Brushless DC Motor for a Safety Critical Aerospace Application", IEEE Trans. Ind. Electron., vol. 59, no. 9, pp. 3532-3541, 2012
- F. Aghili, "Fault-Tolerant Torque Control of BLDC Motors", IEEE Transactions on Power Electronics, vol. 26, no. 2, pp. 355-363, 2011
- J. Rai, "Speed Control of Dc Motor Using Fuzzy Logic Technique", IOSR Journal of Electrical and Electronics Engineering, vol. 3, no. 6, pp. 41-48, 2012
- A. Uysal and R. Bayır, "Design and Implementation of Switched Reluctance Motor Driver for Industrial Controller", in 4th International Conference on Power Engineering, Energy and Electrical Drives, 2013, pp. 770-774.
- İ. Özkan, İ. Sarıtaş and S. Herdem, "The Control Of A Dc Motor By Fuzzy Logic Controller", e-Journal of New World Sciences Academy, vol. 6, no. 2, pp. 533-541, 2011
- R. Dorf and R. Bishop, Modern control systems. Upper Saddle River, NJ: Prentice Hall, 2001.
- L. Zadeh, "Fuzzy sets as a basis for a theory of possibility", Fuzzy Sets and Systems, vol. 1, no. 1, pp. 3-28, 1978.
Details
| Subjects | Engineering |
|---|---|
| Journal Section | Research Article |
| Authors | |
| Publication Date | December 26, 2016 |
| Published in Issue | Year 2016 |