Chhith Chhlonh
ABSTRACT
Electric vehicles are the new target for researchers from many fields to find new innovation to reduce the usage of fossil fuel which currently almost finished. This paper presents a strategy of independent speed steering control for four in-wheel direct drive type by using brushless direct current (BLDC) motors. The hybrid Fuzzy-PI speed controller has been proposed to control the speed of each motor. Hysteresis current controller is introduced to generate the switching signal for each switch in inverter. Ackermann-Jeantand steering model is combined to determine the reference speed each wheel of vehicle during turn in a curve road. By using GUI's interface controlling in MATLAB/SIMULINK, the results of simulation each motor are demonstrated. Four different cases are simulated and given satisfy performance.
- M. Yildirim, E. Öksüztepe, B. Tanyeri, and H. Kürüm, "Electronic differential system for an electric vehicle with in-wheel motor," in 2015 9th International Conference on Electrical and Electronics Engineering (ELECO), 2015, pp. 1048--1052.Google Scholar
- X. D. Xue, K. W. E. Cheng, and N. C. Cheung, "Selection of electric motor drives for electric vehicles," in 2008 Australasian Universities Power Engineering Conference, 2008, pp. 1--6.Google Scholar
- B. S. K. K. Ibrahim, N. A. M. Azubir, N. H. M. Ishak, M. K. Hassan, S. F. Toha, M. A. Z. Abidin, et al., "PI-Fuzzy Logic Control for 3 Phase BLDC Motor for Electric Vehicle Application," in 2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, 2012. Google ScholarDigital Library
- X. Wu, L. Yang, M. Xu, "Speed following Control for Differential Steering of 4WID Electric Vehicle," IECON 2014-40th Annual Conference of the IEEE industrial electronic society, 29 Oct.-1 Nov. 2014.Google Scholar
- H. Kahveci, H. I. Okumus, M. Ekici, "An electric differential system using fuzzy logic speed controlled in-wheel brushless DC motors" 4th International Conference on Power Engineering, Energy and Electrical Drives, 13-17 May 2013.Google Scholar
- Y. E. Zhao, J. W. Zhang and X. Q. Guan, "Modeling and Simulation of Electronic Differential System for an Electric Vehicle with Two-Motor-Wheel Drive," in 2009 IEEE Intelligent Vehicles Symposium, 2009, pp. 1209--1214.Google Scholar
- S. H. M. Niapour, G. S. Garjan, M. Shafiei, M. Feyzi, S. Danyali, and M. B. Kouhshahi, "Review of Permanent-Magnet Brushless DC Motor Basic Drives Based on Analysis and Simulation Study," in IREE, 2014.Google Scholar
- C. Min Wan, J. S. Park, L. Bong Soo, and L. Man Hyung, "The performance of independent wheels steering vehicle (4WS) applied Ackerman geometry," in 2008 International Conference on Control, Automation and Systems, 2008, pp. 197--202.Google Scholar
- Yuechao Sun*, Man Li and Cong Liao "Analysis of Wheel Hub Motor Drive Application in Electric Vehicles" MATEC Web of Conferences, 2017.Google Scholar
- Kota, V. R. and B. Kommula (2015). Performance evaluation of Hybrid Fuzzy PI speed controller for Brushless DC motor for Electric vehicle application.Google ScholarCross Ref
- Manjusha D. Hedau, Naresh Pohane, K.N. Sawalakhe, "Performance Improvement of BLDC Motor with Hysteresis Current Controller Topology," Imperial Journal of Interdisciplinary Research (IJIR), Vol-2, October, 2008.Google Scholar
Index Terms
- Simulation of Independent Speed Steering Control of Four In-wheel BLDC Motors Direct Drive for Electric Vehicle Using Hybrid Fuzzy-PI Controller in MATLAB GUI
Recommendations
FFA-based speed control of BLDC motor drive
This paper presents the speed control of brushless direct current BLDC motor drive using nature-inspired algorithm. These algorithms can be applied to any virtual problem that can be treated as an optimisation task. The proposed design problem of speed ...
Research on speed control of sensorless brushless DC (BLDC) motors based on improved fuzzy-PI control
ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent RoboticsThis paper aims to present a fuzzy-PI control method to improve the adjustment for speed, overshoot, speed range, and resistance to load disturbance for sensorless brushless DC (BLDC) motor control system. We use PI control under large errors, fuzzy ...
Field Oriented Control of Permanent Magnet Brushless Hub Motor in Four-Wheel Drive Electric Vehicle
FGCN '14: Proceedings of the 2014 8th International Conference on Future Generation Communication and NetworkingThe back electromotive force (EMF) waveform of permanent magnet (PM) brushless hub motor is usually nearly sinusoidal, which is suitable for sinusoidal current control. The field oriented control based on hall-effect sensors is applied to minimize the ...
Comments