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Speed Control of BLDC Motor using Fuzzy: Tuned PID Controller

Jival Angeti, Adamu S. Kadalla, Gachada Dubukumah, Bitrus K. Zirata. Published in Circuits and Systems.

Communications on Applied Electronics
Year of Publication: 2019
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Jival Angeti, Adamu S. Kadalla, Gachada Dubukumah, Bitrus K. Zirata

Jival Angeti, Adamu S Kadalla, Gachada Dubukumah and Bitrus K Zirata. Speed Control of BLDC Motor using Fuzzy: Tuned PID Controller. Communications on Applied Electronics 7(29):6-12, June 2019. BibTeX

	author = {Jival Angeti and Adamu S. Kadalla and Gachada Dubukumah and Bitrus K. Zirata},
	title = {Speed Control of BLDC Motor using Fuzzy: Tuned PID Controller},
	journal = {Communications on Applied Electronics},
	issue_date = {June 2019},
	volume = {7},
	number = {29},
	month = {Jun},
	year = {2019},
	issn = {2394-4714},
	pages = {6-12},
	numpages = {7},
	url = {},
	doi = {10.5120/cae2019652825},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Brushless DC (BLDCM) Motor is becoming more prominent and more attractive as the demand for efficiency, reliability, torque control, precise speed and ruggedness increases. BLDC Motor as the name implies they have neither brushes nor commutators, the commutation of BLDC Motor is performed with the help of Electronic circuit, and these Motors have several advantages over Brushed DC Motor which include: better torque versus speed characteristic, higher efficiency, better dynamic response due to low rotor inertia, higher speed range etc. This paper presents the execution of PID controller and Fuzzy Tuned PID controller utilizing Simulink display. Tuning the PID gains and processing utilizing conventional PID controller is troublesome and poor vigorous, it doesn't give fulfilled control characteristic when compare with Fuzzy Tuned PID controller. From the simulation results it is clearly demonstrated that Fuzzy Tuned PID controller gives better control execution when compared with conventional PID controller. MATLAB/SIMULINK environment is utilized to do the examination above.


  1. N. N. Baharudin and S. M. Ayob, “Brushless DC Motor Drive Control Using Single Input Fuzzy PI Controller (SIFPIC),” IEEE Trans. 2015. 2015., 2015.
  2. P. Sajitha and A. M. Jashper, “Direct Torque Control of a Bldc motor based on Computing Technique,” IOSR J. Electr. Electron. Eng., vol. 6, no. 6, pp. 01–08, 2013.
  3. P. Yedamale, “Brushless DC motor Fundamentals,” 2003.
  4. R Arulmozhiyal, “Desing and Implementation of Fuzzy PID Controller for BLDC Motor Using FPGA,” 2012 IEEE Int. Conf. Power Electron. Drives Energy Syst., vol. 12, 2012.
  5. P. Yedamale, “Brushless DC Motor Control Using PIC18FXX31 MCUs,” pp. 1–26, 2004.
  6. M. A. Shamseldin and A. A. El-samahy, “speed control of BLDC motor by using PID control and self-tuning Fuzzy PID controller,” 15th Int. Work. Res. Educ. Mechatron., vol. 6, no. 14, pp. 978–1–4799–3029, 2014.
  7. J. C. Gamazo-Real, E. Vázquez-Sánchez, and Jaime Gómez-Gil, “Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends,” Sensors, no. 10, pp. 6901–6947, 2010.
  8. S. B. Ozturk, W. C. Alexander, and H. A. Toliyat, “Direct Torque Control of Four-Switch Brushless DC Motor with Non sinusoidal Back-EMF,” IEEE Trans Power Electron., vol. 25, no. 2, pp. 263–271, 2010.
  9. C. Lin, H. Jan, and N. Shieh, “GA-based multiobjective PID control for a linear brushless DC motor,” IEEE/ASME Trans. Mechatronics, vol. 8, pp. 56–65, 2003.
  10. P. Cominos and N. Munro, “PID controllers: recent tuning methods and design to specification,” IEE proceedings,Control Theory Appl., pp. 46–53., 2002.
  11. H. Mohan, K. P. Remya, and S. Gomathy, “Speed Control of Brushless DC Motor Using Fuzzy Based Controllers,” Int. Res. J. Eng. Technol., vol. 02, no. 04, 2015.
  12. R. Gambhir and A. K. Jha, “Brushless DC Motor?: Construction and Applications,” Int. J. Eng. Sci, vol. 2, no. 5, pp. 72–77, 2013.
  13. J. W. Nilsson and S. Riedel, Electric Circuits, vol. 8. 2009, p. 50.
  14. S. K. Lakhanwal and A. Gill, “Fuzzy logic Technique Based Speed Control of a Permanent Magnet Brushless DC Motor Drive,” Int. J. Mod. Eng. Res., vol. 4, no. 8, pp. 1–12, 2014.
  15. A. A. Zanjade and J. W. Bakal, “Hardware / Software Implementation of Fuzzy - Neural - Network Self - Learning Control Methods for Brushless DC Motor Drives,” Int. J. Eng. Res. Technol., vol. 2, no. 4, pp. 717–720, 2015.
  16. A. A. Zanjade and J. W. Bakal, “Hardware Implementation of Fuzzy Logic Controller for Sensorless Permanent BLDC Motor Drives,” Int. J. Eng. Res. Technol., vol. 2, no. 4, pp. 717–722, 2013.
  17. Z. K. and S. Bogdan, “Fuzzy Controller design Theory and Applications,” 2012 7th IEEE Conf. Ind. Electron. Appl., 2012.
  18. M. A. Shamseldin and A. A. El-samahy, “Speed Control of BLDC Motor By Using PID Control and Self-tuning Fuzzy PID Controller,” 15th Int. Work. Res. Educ. Mechatron., 2014.
  19. R. Kandiban and R.Arulmozhiyal, “Design of Adaptive Fuzzy PID Controller for Speed control of BLDC Motor,” Int. J. Soft Comput. Eng., vol. 2, no. 1386–390, 2012.


BLDC Motor, System Modeling, PID Controller, Fuzzy Tuned PID controller, Speed Control