Fuzzy Logic Controller and Its Application in Brushless DC Motor (BLDC) in Electric Vehicle - A Review
Abstract
Brushless DC motor (BLDC) is one type of electric motor that is widely used, especially in automotive systems. This motor is widely used as a driving force in electric vehicles. BLDC motor is chosen because it has the characteristics of high efficiency, reliability, and a wide speed range. Besides, BLDC motors require less maintenance and can operate quieter than DC motors. Even though it has many advantages, in its application the use of BLDC motors in electric vehicles is often less than optimal. The use of a conventional control system proportional integral derivative (PID) still has many weaknesses, especially in response to changes in load and track conditions. In this study, a control system was designed to regulate the speed of the BLDC motor, using a combination of Fuzzy and PID methods. Based on the results of the tests that have been done, the Fuzzy-PID control can provide better and more stable performance than using the conventional PI control.
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Mahyiddin, S.H. and etc. 2016. Fuzzy logic energy management system of series hybrid electric vehicle. The Clean Energy and Technology Conference (CEAT), At Kuala Lumpur, Malaysia.
Goswami, R. And Dheeraj, J. 2018. Performance Review of Fuzzy Logic Based Controllers Employed in Brushless DC Motor. International Conference on Computational Intelligence and Data Science (ICCIDS 2018)
Aspalli, M.S. Farhat, M.M. Savitri, L.M. 2015. Speed control of BLDC Motor with Four Switch Three Phase Inverter using Digital Signal Controller. 2015 International Conference on Power and Advanced Control Engineering (ICPACE). ¬¬¬Bangalore, India.
Al-Nussairi, M. Kh., Ramazan, B. 2018. Stabilization of a DC-Link of Microgrids Feeding a Inverter-BLDC motor drive using a PI-Fuzzy. 7th International Conferrence on Renewable Energy Research and Application. Paris, France.
Nag, T., Santra, S.B., Chatterjee, A., and Chatterjee, D. 2016. Fuzzy logic-based loss minimisation scheme for brushless DC motor drive system. IET Power Eelctronics Journal. Vol. 9. Iss 8, pp 1581-1589.
Joy, J. And Ushakumari, S. 2016. Performance Comparison of a Sensorless PMBLDC Motor Drive System with Conventional and Fuzzy Logic Controllers. Global Colloquium in Recent Advancement and Effectual Researches in Engineering, Science and Technology (RAEREST 2016)
Jaya, A., Purwanto, E., Fauziah, M.B., Murdianto, F.D, Prabowo, G., and Rusli, M.R. 2017. Design of PID-Fuzzy for Speed Control of Brushless DC Motor in Dynamic Electric Vehicle to Improve Steady-State Performance. 2017 International Electronics Symposium on Engineering Technology and Applications (IES-ETA).
Gowthaman, E., and etc. 2017. Speed Control of Permanent Magnet Brushless DC Motor Using Hybrid Fuzzy Proportional plus Integral plus Derivative Controller. 1st International Conference on Power Engineering, Computing and CONtrol, PECCON-2017, 2-4 March 2017, VIT University, Chennai Campus
Karabacak, Y. And Uysal, A. 2017. Fuzzy Logic Controlled Brushless Direct Current Motor Drive Design and Application for Regenerative Braking. IEEE Journal.
Zaidi, E., Marouani, K., Mabrek, A.E., Merabet, E., and Bentouhami, L. 2018. Fuzzy Logic Control of Multi-Phase Induction Machine Drives Based on Cascaded Hybrid Multi-level Inverters. 3rd CISTEM’18. Algeria.
Jianyao, HU., Juan, WU., Peng, H., Peng, Q., and Huang, Q. 2017. Application of Fuzzy Logic Algorithm for Optimization of Control Strategy in Electric Vehicles. IEEE Journal.
F. Indra, P. Era, and A.W. Novie. 2016. Fuzzy Gain Scheduling of PID (FGSPID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC). EMITTER International Journal of Engineering Technology. Vol. 4, No. 2, December 2016.
Ramya, A., Mahadevan, B., and Vijarayajan, K. 2019. Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique. The 9th International Conference on Power Electronics, Machines and Drives (PEMD 2018)
Peng, X., Mingfei, J., Lei, H., Xiang, Y., and Yibin, L. 2018. Fuzzy Sliding Mode Control Based on Longitudinal Force Estimation for Electro-mechanical Braking Systems using BLDC Motor. CES Transactions on Electrical Machines and Systems. Vol.2 No.1
Sankar, S., Indulal, S., and Lal, P.P.S. 2018. Real Time Monitoring and Control of a Hybrid Bicycle - Fuzzy Sliding Mode Approach. 2018 International CET Conference on Control, Communication, and Computing (IC4). Trivandrum.
Prasad, A.K.M and Usha, N. 2017. An Intelligent Fuzzy Sliding Mode Controller for a BLDC Motor. International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2017).
Nigam, V., Shoeb, H. and Satya, N.A. 2016. A Hybrid Fuzzy Sliding Mode Controller for a BLDC Motor Drive. 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES-2016)
Prabu, M.J., Poongodi, P., and Premkumar, K. 2016. Fuzzy supervised online coactive neuro-fuzzy inference system-based rotor position control of brushless DC motor. IET Power Eelctronics Journal. pp. 1-11
Devi, S., Dhanasekaran, R. and Muthulakshmi, S. 2016. Improvement of Speed Control Performance in BLDC Motor Using Fuzzy PID Controller. 2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT)
Lv, D., Zheng-yang, Z. And Wen-yue, B. 2018. Study of Fuzzy PID Control of Outer-rotor Brushless DC Motor Used in Electric Vehicle. Proceedings of 2018 IEEE International Conference on ID8221 Applied Superconductivity and Electromagnetic Devices Tianjin, China, April 15-18, 2018
Sheng, Y., Xingcheng, W., Longda, W. And Pengchao, H. 2017. Fuzzy-PID Control System Design of Brushless DC Motor Based on Vector Control. IEEE Journal.
Premkumar, K. And Manikandan, B.V. 2015. Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor. Neurocomputing 157 (2015) 76-90
Premkumar, K. And Manikandan, B.V. 2016. Bat algorithm optimized fuzzy PD based speed controller for brushless direct current motor. Engineering Science and Technology, an International Journal 19 (2016) 818–840
MuraliDhar, J.E. and Varansi, P. 2015. A Progressive Rugged Appearance of Fuzzy Controller Fed Four-Switch BLDC Drive. Procedia Computer Science 47 ( 2015 ) 144 – 152
Agrawal, S. And Vivek, S. 2017. Particle Swarm Optimization of BLDC Motor With Fuzzy Logic Controller for Speed Improvement. 8th ICCCNT 2017. July 3-5, 2017, IIT Delhi, Delhi, India
Wang, H., Pengfei, L.I, Yingying, S., and Dongshuai, K. 2017. Double Closed Loop Control for BLDC Based on Whole Fuzzy Controllers. 2nd IEEE International Conferrence on Computational Intellegence and Application
Davoudkhani, I.F. and Akbari, M. 2016. Adaptive Speed Control of Brushless DC (BLDC) Motor Based on Interval Type-2 Logic. 24th Iranian Conferrence on Electrical Engineering (ICEE).
Wang, Z.S. and etc. 2016. Improved Variable Universe Fuzzy Pid Application in Brushless DC Motor Speed Regulation System. Proceedings of the 2016 International Conference on Machine Learning and Cybernetics, Jeju, South Korea, 10-13 July, 2016
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