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A Simulation on Hybrid Speed and Flux Estimation-Based Back EMF Integration with Rotor Flux-Oriented Current Model

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Induction Motor (IM) in Electric Vehicles (EVs) is the main component to drive the EV, and it should be fully controlled and robust due to the frequent changes in the vehicle’s speed. Therefore, this paper presents a hybrid sensorless control method to achieve the decoupling between flux and torque using Indirect Field-Oriented Control (IFOC) strategy to control the IM in order to have a minimum range of speed error due to speed changes. The idea is triggered because of the drawbacks of speed sensors, which increase the complexity in the controller model and increase the communication time lag between the sensors. Therefore, an accurate estimation observer using a modified voltage model based on the rotor flux-oriented current model has been proposed to estimate flux and speed in order to achieve the decoupling control. It also will have an automatic speed trajectory during speed changes by testing with various speed references that mimic road speed conditions. The results are in a good agreement with the suggested hybrid sensorless control, wherein the IM is able to increase its speed-tracking capability when changes are generated at the control input. This control scheme is developed through MATLAB/Simulink and simulated for verification.
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Induction Motor (IM); Electric Vehicle (EV); Machine Vector Control; PI Control; Sensorless Control; Estimation Techniques

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Hayakwong, E., Kinnares, V., Efficient Two-Phase Induction Motor Driven Water Pumping System Using Modified V/F Control, (2019) International Review of Electrical Engineering (IREE), 14 (5), pp. 328-338.

Dybkowski, M. and Orlowska-Kowalska, T., Speed Sensorless Induction Motor Drive System with MRAS type Speed and Flux Estimator and Additional Parameter Identification, in 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Caen, France, 3-5 July. 2013, pp. 33-38.

Güneser, M. T., Dalcali, A., Öztürk, T., Ocak, C. and Cernat, M., An Induction Motor Design for Urban Use Electric Vehicle, in 2016 IEEE International Power Electronics and Motion Control Conference (PEMC), Varna, Bulgaria, 25–28 Sept. 2016, pp. 261-266.

Singh, K.V., Bansal, H.O. and Singh, D., A comprehensive review on hybrid electric vehicles: architectures and components, Journal of Modern Transportation, vol. 27, no. 2, pp. 77-107, March. 2019.

Aichi, B., Bourahla, M., Kendouci, K., High-Performance Speed Control of Induction Motor Using a Variable Gains Backstepping: Experimental Validation, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 342-351.

Mossa, M., Zaki Diab, A., Effective Model Predictive Control Approach for a Faulty Induction Motor Drive, (2019) International Review of Electrical Engineering (IREE), 14 (5), pp. 314-327.

Wang, F., Zhang, Z., Mei, X., Rodríguez, J. and Kennel, R., Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control, Energies, vol. 11, no.120, pp.1-13, January. 2018.

Madark, M., Ba-razzouk, A., Abdelmounim, E., El Malah, M., Adaptive Vector Control of Induction Motor Using CTMVC, (2017) International Review on Modelling and Simulations (IREMOS), 10 (4), pp. 303-312.

S. Karpe, Sanjay A. Deokar and Arati M. Dixit, Switching Losses Minimization by using Direct Torque Control of Induction Motor, Journal of Electrical Systems and Information Technology, vol. 4, no. 1, pp. 225-242, May. 2017.

El-Faouri, F., Mohamed, O., Abu Elhaija, W., Model-Based Field-Oriented Control of a Three-Phase Induction Motor with Consideration of Rotor Resistance Variation, (2019) International Review of Electrical Engineering (IREE), 14 (3), pp. 173-181.

Nguyen, S. T., Pham, P. H., Pham, T. V., Ha, H. X., Nguyen, C. T. and Do, P. C., A Sensorless Three-Phase Induction Motor Drive Using Indirect Field Oriented Control and Artificial Neural Network, in 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), Siem Reap, Cambodia, 18-20 June 2017, pp. 1454–1459.

Saad, N. H., El-Sattar, A. A. and Gad, M. A., Sensorless Field Oriented Control Based on Improved MRAS Speed Observer for Permanent Magnet Synchronous Motor Drive, in IEEE Eighteenth International Middle East Power System Conference (MEPCON), Cairo, Egypt, 27–29 Dec. 2016, pp. 991-998.

Blaschke, F., The Principle of Field Orientation Applied to the new Transvector Closed Loop Control System for Rotating Field Machines, Siemens Review, vol. 34, no. 3, pp. 217-220, May. 1972.

Compala Lakshmiah, K., Raghavendiran, T., A New Modified H-Bridge Multilevel Inverter with Multi Carrier PWM Technique for Speed Control of Induction Motor, (2018) International Review of Electrical Engineering (IREE), 13 (5), pp. 365-372.

Kabashi, Q., Limani, M., Caka, N., Zabeli, M., Low Order Harmonic Analysis of 3-Phase SPWM and SV-PWM Inverter Systems Driving an Unbalanced 3-Phase Induction Motor Load, (2018) International Review on Modelling and Simulations (IREMOS), 11 (3), pp. 134-142.

Ranjit, M., Space Vector Pulse Width Modulation Based Indirect Vector Control of Induction Motor Drive, Journal of Electrical & Electronic Systems (JEES), vol. 4, no. 1, pp. 1-6, April. 2015.

Fadul, S. M. E., Aris, I., Misron, N., Halin, I. A. and Parvez Iqbal, A. K. M., Modelling and Simulation of Electric Drive Vehicle Based on Space Vector Modulation Technique and Field Oriented Control Strategy, in 2017 International Conference on Communication, Control, Computing, and Electronics Engineering (ICCCCEE), Khartoum, Sudan, 16–18 January. 2017, pp. 1-7.

Hu, J., Zou, J., Xu, F., Li, Y. and Fu, Y., An Improved PMSM Rotor Position Sensor Based on Linear Hall Sensors, IEEE Transactions on Magnetics, vol. 48, no. 11, pp. 3591–3594, November 2012.

Madark, M., Ba-Razzouk, A., Abdelmounim, E., El Malah, M., An Effective Method for Rotor Time-Constant and Load Torque Estimation for High Performance Induction Motor Vector Control, (2017) International Review on Modelling and Simulations (IREMOS), 10 (6), pp. 410-422.

Udomsuk, S., Areerak, K., Areerak, T., Areerak, K., Speed Estimation of Three-Phase Induction Motor Using Kalman Filter, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 267-275.

Sepeeh, M., Zulkifli, S., Sim, S., Pathan, E., A Comprehensive Review of Field-Oriented Control in Sensorless Control Techniques for Electric Vehicle, (2018) International Review of Electrical Engineering (IREE), 13 (6), pp. 461-475.

Orlowska-Kowalska, T. and Dybkowski, M., Stator-Current-Based MRAS Estimator for a Wide Range Speed-Sensorless Induction-Motor Drive, IEEE Transactions on Industrial Electronics, vol. 57, no. 4, pp. 1296-1308, April. 2010.

Wang, G., Xu, D., Yu, Y. and Chen, W., Improved Rotor Flux Estimation Based on Voltage Model Sensorless Field-Oriented Controlled Induction Motor Drives, in IEEE Power Electronics Specialist Conference (PESC), Rhodes, Greece, 15-19 June. 2008, pp. 1887-18890.

Mohan Krishna, S. and Febin Daya, J. L., MRAS Speed Estimator with Fuzzy and PI Stator Resistance Adaptation for Sensorless Induction Motor Drives using RT-Lab, Perspectives in Science on Recent Trends in Engineering and Material Sciences, vol. 8, pp. 121-126, September. 2016.

Farasat, M., Trzynadlowski, A. M. and Fadali, M. S., Efficiency Improved Sensorless Control Scheme for Electric Vehicle Induction Motors, IET Electrical Systems in Transportation, vol. 4, no. 4, pp. 122-131, December. 2014.

Abhisek Pal, Rakesh Kumara and Sukanta Dasa, Sensorless Speed Control of Induction Motor Driven Electric Vehicle Using Model Reference Adaptive Controller, in Energy Procedia 5th International Conference on Advances in Energy Research, (ICAER 2015), Mumbai, India, 15-17 December 2015, pp. 540-551.

Cao-Minh Ta, Toshiyuki Uchida and Yoichi Hori, MRAS-based Speed Sensorless Control for Induction Motor Drives Using Instantaneous Reactive Power, in IEEE 27th Annual Conference on Industrial Electronic Society (IECON’01), Denver, CO, USA, 29 Nov-2 Dec. 2001, pp. 1417-1422.

Lie Yujie and Cao Shaozhong, Model Reference Adaptive Control System Simulation of Permanent Magnet Synchronous Motor, in IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China, 19-20 Dec. 2015, pp. 498-502.

Zhifu, W., Jun, F., Zhijian, S. and Qiang, S., Study on Speed Sensor-less Vector Control of Induction Motors Based on AMEsim-Matlab/Simulink Simulation, in The 8th International Conference on Applied Energy (ICAE2016), Beijing, China, 8-11 October 2016, pp. 2378-2383.

Bensiali, N., Etien, E. and Benalia, N., Convergence Analysis of Back-EMF MRAS Observers used in Sensorless Control of Induction Motor Drives, Mathematics and Computers in Simulation, vol. 115, pp. 12-23, September 2015.


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