A FUZZY LOGIC APPROACH BASED DIRECT TORQUE CONTROL AND FIVE-LEG VOLTAGE SOURCE INVERTER FOR ELECTRIC VEHICLE POWERTRAINS
Keywords:
Five leg inverter (FLI), Direct torque control (DTC), Fuzzy logic controller (FLC), Electric vehicle (EV)Abstract
In this paper, a fuzzy logic approach is combined with direct torque control (DTC) for a dual-motor-based electric vehicle powertrain. The proposed structure is based on a five-leg voltage source inverter (FLVSI) and two induction motors. The shared-leg switching signals are selected by using a fuzzy logic controller in order to ensure an independent control of the two driving wheels. Indeed, the selection of the control sequence duration is performed based on the power demand and the load torque of each motor, Simulation results are carried out to confirm that both IM is able to operate at different speeds with any load condition.
References
(1) W. Wang, J. Zhang, M. Cheng, A dual-level hysteresis current control for one five-leg VSI to control two PMSMs, IEEE Trans. Power Electron., 32, 1, pp. 804-814 (2017).
(2) F. Korkmaz, I. Topaoglu, H. Mamur, Fuzzy logic Based Direct torque control of Induction Motor with Space Vector Modulation, IJSCAI, 2, 5/6 (2013).
(3) R. Hemantha Kumar, A. Iqbal, N. C. Lenin, Review of recent advancement of direct torque control in induction motor drives – a decade of progress, IET Power Electronics, 11, 1, pp. 1-15 (2017).
(4) S. Gdaim, A. Mtibaa, M. F. Mimouni, design, Experimental Implementation of DTC of Induction Machine based on Fuzzy logic control on FPGA, IEEE Trans. on Fuzzy System 10.1109/TFUZZ (2014).
(5) Y. Mei, S. Feng, An optimized Modulation Method for a Five-Leg – Inverter for dual Induction Motor Drives, IEEE 978-1-5090-1210 (2016).
(6) R. Isermann, On fuzzy logic application for automatic control, supervision, and fault diagnosis, IEEE Trans. Systems, Man and Cybernetics-Part A: Systems and Humans, 28, 2, pp. 221-235 (1998).
(7) M. S. Ballal et al., Adaptive neural fuzzy inference system for the detection of inter-turn insulation and bearing wear faults in induction motor, IEEE Trans. Industrial Electron., 54, 1, pp. 250-258, (2007).
(8) D. Dujić, M. Jones, S. Vukosavic, E. Levi, A general PWM method for a (2n+1)-leg inverter supplying n three-phase machines, IEEE Trans. Ind. Electron., 56, 10, pp. 4107–4118 (2009).
(9) M. Jones, S. N. Vukosavic, D. Dujić, E. Levi, P. Wright, Five-leg inverter PWM technique for reduced switch count two-motor constant power applications, IET Elect. Power Appl., 2, 5, pp. 275–287 (2008).
(10) B. Tabbache, S. Douida, Direct torque control of five-leg inverter dual induction motor powertrain of electric vehicles, Electr. Eng., 99, pp. 1073-1085 (2017).
(11) M. Talib, Z. Ibrahim, N. Rahim, A. Hasim, Implementation of space vector two-arm modulation for independent motor control drive fed by a five-leg inverter, J. Power Electron, 14, 1, pp. 115–124, (2014).
(12) C. S. Lim, N. Abd Rahim, W. P. Hew, E. Levi, Model predictive control of a two-motor drive with five-leg-inverter supply, IEEE Trans. Ind. Electron., 60, 1, pp. 54–65 (2013).
(13) D. Zhou, Jin Zhao, Y. Li, Model Predictive Control Scheme of Five-Leg AC-DC-AC Converter-Fed Induction Motor Drive, IEEE J. Trans. on Ind. Electronics, 63, 7, pp. 4517–4526 (2016).
(14) Y. S. Lim, J.-S. Lee, K. B. Lee, Advanced Speed Control for Five Leg Inverter Driving a Dual-Induction Motor System, IEEE Trans. on Ind. Electronics, 0278-0046 (2018).
(15) Y. Hu, S. Huang, X. Wu, X. Li, Control of dual three-Phase Permanent Magnet Synchronous Machine Based on Five-Leg Inverter, IEEE Trans. on Power Electronics (2019).
(16) V. Naik N, S. P. Singh, A Two-Level Fuzzy Based DTC Using PLLC to Improve the Induction Motor Performance, IEEE (2016).
(17) B. Tabbache, M. Benbouzid, A. Kheloui, J.-M. Bourgeot, A. Mamoune, An Improved Fault-Tolerant Control Scheme for PWM Inverter-Fed Induction Motor-Based EVs, ISA Trans., 52, pp. 862-869, (2013).
(18) C. Xia, J. Zhao, Y. Yan, T. Shi, A Novel Direct Torque Control of Matrix Converter-Fed PMSM Drives Using Duty Cycle Control for Torque Ripple Reduction, IEEE Trans. on Ind. Electron., 61, pp. 2700-2713, June (2014).
(19) A. Khodadoost, A. Radan, Novel comparative study between SVM, DTC, and DTC-SVM in Five-Leg Inverter to drive two motors independently, in Proc. 4th Power Electronics, Drive Systems, and Technologies Conference, pp. 294 – 300 (2013).
(20) D. Zhou, J. Zhao, Y. Li, Model Predictive Control Scheme of Five-Leg AC-DC-AC Converter-Fed Induction Motor Drive, IEEE J. Trans. on Ind. Electronics, 63, 7, pp. 4517–4526 (2016).
(21) M. Talib, Z. Ibrahim, N. Rahim, A. Hasim, Analysis on speed characteristics of five-leg inverter for different carrier-based PWM scheme, Proc. IEEE Int. Power Engineering Optimization Conference (PEOCO), pp. 96–101 (2012).
(22) M. Talib, Z. Ibrahim, N. Rahim, A. Hasim, Characteristic of induction motor drives fed by three legs and five-leg inverter, J. Power Electron., 13, 5, pp. 806–813 (2013).
(23) W. Wang, M. Cheng, B. Zhang, Y. Zhu, A fault-tolerant permanent-magnet traction module for subway application, IEEE Trans. Power Electron., 29, 4, pp. 1646–1658 (2014).
(24) C. S. Lim, E. Levi, M. Jones, N. Abd. Rahim, W. P. Hew, A fault-tolerant two-motor drive with FCS_MP based flux and torque control, IEEE Trans. Ind. Electron., 61, 12, pp. 6603–6614 (2014).
(25) P. Raja Reddy, B. M. Manjunatha, D. V Ashok Kumar, Five Leg Z-source Inverter Feeding Two Independent Loads Simultaneously, Int. J. Advanced Res. Electr. Electron. and Instrum. Eng., 3, 9 (2014).
(26) A. Essalmi, H. Mahmoudi, A. Abbou, A. Bennassar, DTC of PMSM based on artificial neural networks with regulation speed using the fuzzy logic controller, IEEE (2014).
(27) J. S. Lee, K.-B. Lee, An open-switch fault detection method and tolerance controls based on SVM in a grid-connected T-type rectifier with unity power factor, IEEE Trans. Ind. Electron., 61, 12, pp. 7092–7104 (2014).
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Romanian Journal of Technical Sciences, Electrical and Energy Series
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
