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

• fuzzy logic,speed control,industrial pc

References

1. 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
2. F. Aghili, "Fault-Tolerant Torque Control of BLDC Motors", IEEE Transactions on Power Electronics, vol. 26, no. 2, pp. 355-363, 2011
3. 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
4. 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.
5. 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
6. R. Dorf and R. Bishop, Modern control systems. Upper Saddle River, NJ: Prentice Hall, 2001.
7. L. Zadeh, "Fuzzy sets as a basis for a theory of possibility", Fuzzy Sets and Systems, vol. 1, no. 1, pp. 3-28, 1978.