Identification and Optimization Speed Control of BLDC Motor Using Fuzzy Logic Controller
Keywords:Instrumentation, fuzzy logic, transfer function, BLDC Motor
Better performance, such as speed of response, overshoot and steady state error on BLDC motors, needs to be improved continuously through optimization. The first method, is to design the hardware, take the current data, voltage and motor speed through measurement. The data obtained is simulated through the existing tools in Matlab to obtain the mathematical model in the form of transfer function. BLDC motor transfer function obtained, used as the basis for optimizing the fuzzy logic method. The results showed that the stability performance in BLDC motor speed control system showed an improvement after optimization using fuzzy logic.
 A. Sabir and M. Kassas, â€œA novel and simple hybrid fuzzy/pi controller for brushless dc motor drives,â€ Automatika, vol. 56, no. 4, pp. 424â€“435, 2015.
 I. Anshory, I. Robandi, and Wirawan, â€œMonitoring and optimization of speed settings for Brushless Direct Current (BLDC) using Particle Swarm Optimization (PSO),â€ in Proceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016, 2016.
 K. Nam, W. Lee, and J. Hong, â€œReducing Torque Ripple of BLDC Motor by Varying Input Voltage,â€ IEEE Trans. Magn., vol. 42, no. 4, pp. 1307â€“1310, 2006.
 C. Cai, H. Zhang, J. Liu, and Y. Gao, â€œModeling and Simulation of BLDC motor in Electric Power Steering,â€ 2010 Asia-Pacific Power Energy Eng. Conf., pp. 1â€“4, 2010.
 S. A. Zulkifli, M. N. Hussin, and A. S. Saad, â€œMATLAB-Arduino as a low cost microcontroller for 3 phase inverter,â€ 2014 IEEE Student Conf. Res. Dev. SCOReD 2014, 2014.
 B. Das, S. Chakrabarti, P. R. Kasari, and A. Chakraborti, â€œNovel reverse regeneration technique of BLDC motor for capacitor charging,â€ in 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC), 2014, pp. 246â€“253.
 M. Fruk, G. VujisiÄ‡, and T. Å poljariÄ‡, â€œParameter Identification of Transfer Functions Using MATLAB,â€ pp. 571â€“576.
 M. M. Hassan, A. A. Aly, and A. F. Rashwan, â€œDIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR,â€ vol. 35, no. 6, pp. 1481â€“1493, 2007.
 L. Ljung, â€œLjung L System Identification Theory for User.pdf,â€ PTR Prentice Hall Upper Saddle River NJ, vol. 25. pp. 475â€“476, 1987.
 M. Fruk, G. VujisiÄ‡, and T. Å poljariÄ‡, â€œParameter Identification of Transfer Functions Using MATLAB,â€ pp. 571â€“576, 2013.
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