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Fuzzy PID Controller Design for Brushless DC Motor

Kalyani Salunke, Sanjay Shinde

Abstract


Due to high productivity, torque and less volume Brushless DC Motors (BLDCM) are largely used in electric vehicles, robotics, food and chemical industrial applications. Unwanted overshooting, prolonged time of settling as well as vibration when moving from one state to the next are the problems related to control systems. Self-tuning Fuzzy PID and PID control techniques were used to resolve the maximum overshoot and longer settling times in the closed loop regulator architecture. This proposed system offers a very exact and effective speed control system. Speed can be increase or decrease as per the requirement and the motor will run at that exact speed. MATLAB/SIMULINK is used to simulate BLDC's speed control and the results are obtained.

 


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References


Shanmugasundram, R., Zakariah, K. M., & Yadaiah, N. (2012). Implementation and performance analysis of digital controllers for brushless DC motor drives. IEEE/ASME transactions on mechatronics, 19(1), 213-224.

Neethu, U., & Jisha, V. R. (2012, December). Speed control of Brushless DC Motor: A comparative study. In 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) (pp. 1-5). IEEE.

Rodriguez, F., & Emadi, A. (2007). A novel digital control technique for brushless DC motor drives. IEEE transactions on industrial electronics, 54(5), 2365-2373.

Patel, V. K. S. (2013). Modeling and simulation of brushless DC motor using PWM control technique, Inter. Journal of Eng Research and App, 3(3), 612-620.

Karthikeyan, J., & Dhanasekaran, R. (2012). Resonant DC Link Inverter for Brushless DC Motor Drive System. International Journal of Emerging Electric Power Systems, 13(2).

Lin, F. J., Hwang, J. C., Chou, P. H., & Hung, Y. C. (2010). FPGA-based intelligent-complementary sliding-mode control for PMLSM servo-drive system. IEEE transactions on power electronics, 25(10), 2573-2587.

Omar, M., Soliman, M., Ghany, A. A., & Bendary, F. (2013). Optimal tuning of PID controllers for hydrothermal load frequency control using ant colony optimization. International journal on electrical engineering and informatics, 5(3), 348.

Natsheh, E., & Buragga, K. A. (2010). Comparison between conventional and fuzzy logic PID controllers for controlling DC motors. International Journal of Computer Science Issues (IJCSI), 7(5), 128.

Anjali, A. R. (2013). Control of three phase BLDC motor using fuzzy logic controller. Int. Journal of Engineering Research and Technology (IJERT), 2(7), 689-693.

Manjunath, R. M., & Raman, S. J. (2011). Fuzzy adaptive PID for flow control system based on OPC. International Journal of Computer Applications Special Issue on Computational Science-New Dimensions & Perspectives, 1, 5-8.

Siong, T. C., Ismail, B., Siraj, S. F., & Mohammed, M. F. (2011). Fuzzy logic controller for BLDC permanent magnet motor drives. International Journal of Electrical & Computer Sciences, 11(2), 13-18.

Suganthi, P., Nagapavithra, S., & Umamaheswari, S. (2017, March). Modeling and simulation of closed loop speed control for BLDC motor. In 2017 Conference on Emerging Devices and Smart Systems (ICEDSS) (pp. 229-233). IEEE.


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