Performance Improvement of Rotor Flux and Electromagnetic Torque Control in Induction Motors using the Backstepping Super-Twisting Algorithm

Dalal Zellouma, Youcef Bekakra, Habib Benbouhenni


This paper presents the amelioration of rotor flux and electromagnetic torque ripples of the Inductions motors using backstepping control based on super twisting algorithms and pulse width modulation to control the motor inverter. The main role of the backstepping control based on super twisting algorithms is to control and regulate the torque and flux of induction motor drives. The field-oriented control is a traditional control scheme based on a proportional-integral controller, where durability is the biggest problem with this strategy. Backstepping control based on super twisting algorithms is a new control scheme; characterized by robustness, which gives a good response dynamic, minimum torque/flux ripples, and reduces harmonic distortion of current compared to other techniques such as direct torque control. The proposed control scheme construction is based on backstepping control and super twisting algorithm to obtain a robust control and minimizes the steady-state performance and overshoot of torque and flux of the induction motor. We use our study a 1.5 KW induction motor to minimize the torque, current, and flux ripples. As shown in the results figures using backstepping control based on super twisting algorithms ameliorate effectiveness and especially minimizes the flux, torque, and current ripples. Also reduces harmonic distortion of current compared to classical technique.

Full Text:



M. Sun, H. Wang, P. Liu, Z. Long, J. Yang, and S. Huang, “A Novel Data-Driven Mechanical Fault Diagnosis Method for Induction Motors Using Stator Current Signals,” IEEE Trans. Transp. Electrif., vol. 7782, no. c, 2022, doi: 10.1109/TTE.2022.3163612.

H. R. Mohammadi and A. Akhavan, “Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization,” J. Eng. (United Kingdom), vol. 2014, 2014, doi: 10.1155/2014/148204.

J. Yu, B. Chen, Y. Ma, and H. Yu, “Robust speed tracking control for the induction motor via adaptive fuzzy backstepping,” Proc. 2011 Chinese Control Decis. Conf. CCDC 2011, pp. 2181–2184, 2011, doi: 10.1109/CCDC.2011.5968568.

N. El Ouanjli et al., “Modern improvement techniques of direct torque control for induction motor drives-A review,” Prot. Control Mod. Power Syst., vol. 4, no. 1, 2019, doi: 10.1186/s41601-019-0125-5.

A. Véliz-tejo, J. C. Travieso-torres, A. A. Peters, A. Mora, and F. Leiva-silva, “Normalized-Model Reference System for Parameter Estimation of Induction Motors,” pp. 1–29, 2022.

H. Xie, F. Wang, Q. Chen, Y. He, J. Rodriguez, and R. Kennel, “Computationally Efficient Predictive Current Control with Finite Set Extension using Derivative Projection for IM Drives,” IEEE J. Emerg. Sel. Top. Power Electron., vol. 6777, no. c, pp. 1–1, 2022, doi: 10.1109/jestpe.2022.3175904.

H. M. Soliman, “Performance characteristics of induction motor with field oriented control compared to direct torque control,” Int. J. Power Electron. Drive Syst., vol. 7, no. 4, pp. 1125–1133, 2016, doi: 10.11591/ijpeds.v7.i4.pp1125-1133.

A. T. Azar and Q. Zhu, Advances and applications in sliding mode control systems, vol. 576, no. January. 2015. doi: 10.1007/978-3-319-11173-5.

S. Vahid and H. Akbari, “Direct Field Oriented Control of Induction Motor ( IM ) Drive using Fuzzy Logic Controller ( FLC ),” no. Im.

S. Mahfoud, A. Derouich, N. El Ouanjli, T. Mohammed, and A. Hanafi, “Field oriented control of doubly fed induction motor using speed sliding mode controller,” E3S Web Conf., vol. 229, pp. 1–12, 2021, doi: 10.1051/e3sconf/202122901061.

M. J. Vallabhai, “PI Control Based Vector Control Strategy for Induction Motor Drive,” vol. 3, no. 2, pp. 328–335, 2012.

R. Gunabalan and V. Subbiah, “Speed Sensorless Vector Control of Induction Motor Drive with PI and Fuzzy Controller,” vol. 5, no. 3, p. 8694, 2015.

M. Fateh and R. Abdellatif, “Comparative study of integral and classical backstepping controllers in IFOC of induction motor fed by voltage source inverter,” Int. J. Hydrogen Energy, vol. 42, no. 28, pp. 17953–17964, 2017, doi: 10.1016/j.ijhydene.2017.04.292.

D. Zellouma, Y. Bekakra, and H. Benbouhenni, “Field-oriented control based on parallel proportional–integral controllers of induction motor drive,” Energy Reports, vol. 9, pp. 4846–4860, 2023, doi: 10.1016/j.egyr.2023.04.008.

A. Ammar, B. Talbi, T. Ameid, Y. Azzoug, and A. Kerrache, “Predictive direct torque control with reduced ripples for induction motor drive based on T-S fuzzy speed controller,” Asian J. Control, vol. 21, no. 4, pp. 2155–2166, 2019, doi: 10.1002/asjc.2148.

T. Ameid et al., “Hardware Implementation of Modified Backstepping Control for Sensorless Induction Motor Drive,” IECON Proc. (Industrial Electron. Conf., vol. 2019-Octob, pp. 1077–1082, 2019, doi: 10.1109/IECON.2019.8926795.

M. Drives, “An Enhanced Sliding Mode Speed Control for Induction Motor Drives,” pp. 1–14, 2022.

X. Xiong, S. Kamal, and S. Jin, “Adaptive gains to super-twisting technique for sliding mode design,” Asian J. Control, vol. 23, no. 1, pp. 362–373, 2021, doi: 10.1002/asjc.2202.

M. M. Ali, W. Xu, A. Junejo, M. Elmorshedy, and Y. Tang, “One new super-twisting sliding mode direct thrust control for linear induction machine based on linear metro,” IEEE Trans. Power Electron., vol. 37, no. 1, pp. 795–805, Jan. 2022, doi: 10.1109/TPEL.2021.3096066.

Y. Zahraoui, M. Akherraz, and A. Ma’arif, “A Comparative Study of Nonlinear Control Schemes for Induction Motor Operation Improvement,” Int. J. Robot. Control Syst., vol. 2, no. 1, pp. 1–17, 2021, doi: 10.31763/ijrcs.v2i1.521.

S. N. Makarov, “Antenna and EM Modeling with MATLAB -.” pp. 1–284, 2002.

B. Farid, B. Tarek, and B. Sebti, “Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine,” Int. J. Electr. Comput. Eng., vol. 11, no. 5, pp. 3782–3790, Oct. 2021, doi: 10.11591/ijece.v11i5.pp3782-3790.

M. Taoussi, M. Karim, B. Bossoufi, D. Hammoumi, A. Lagrioui, and A. Derouich, “Speed variable adaptive backstepping control of the doubly-fed induction machine drive,” Int. J. Autom. Control, vol. 10, no. 1, pp. 12–33, 2016, doi: 10.1504/IJAAC.2016.075140.

B. Kelkoul and A. Boumediene, “Stability analysis and study between classical sliding mode control (SMC) and super twisting algorithm (STA) for doubly fed induction generator (DFIG) under wind turbine,” Energy, vol. 214, p. 118871, 2021, doi: 10.1016/

M. M. Zirkohi, “An efficient approach for digital secure communication using adaptive backstepping fast terminal sliding mode control,” Comput. Electr. Eng., vol. 76, pp. 311–322, 2019, doi: 10.1016/j.compeleceng.2019.04.007.

D. Zellouma, H. Benbouhenni, and Y. Bekakra, “Backstepping Control Based on a Third-order Sliding Mode Controller to Regulate the Torque and Flux of Asynchronous Motor Drive,” pp. 1–11, 2022.

R. Taleb, A. Bouchaib, and A. Namoune, “High Performance Backstepping Control of Induction Motor Fed by 19 Level Asymmetrical Inverter,” vol. 1, pp. 9–15, 2021.

K. D. Young, V. I. Utkin, and Ü. Özgüner, “A control engineer’s guide to sliding mode control,” IEEE Trans. Control Syst. Technol., vol. 7, no. 3, pp. 328–342, 1999, doi: 10.1109/87.761053.

A. Nurettin and N. ?nanç, “Hybrid Speed Controller Design Based on Sliding Mode Controller Performance Study for Vector Controlled Induction Motor Drives,” Proc. Eng. Technol. Innov., vol. 19, pp. 01–15, 2021, doi: 10.46604/peti.2021.7717.

O. Boughazi, A. Boumedienne, and H. Glaoui, “Sliding Mode Backstepping Control of Induction Motor,” Int. J. Power Electron. Drive Syst., vol. 4, no. 4, pp. 481–488, 2014.

C. Chen and H. Yu, “Backstepping sliding mode control of induction motor based on disturbance observer,” IET Electr. Power Appl., vol. 14, no. 12, pp. 2537–2546, 2020, doi: 10.1049/iet-epa.2020.0485.

B. Guo et al., “A Robust Second-Order Sliding Mode Control for Single-Phase Photovoltaic Grid-Connected Voltage Source Inverter,” IEEE Access, vol. 7, pp. 53202–53212, 2019, doi: 10.1109/ACCESS.2019.2912033.

F. F. M. El-Sousy, M. M. Amin, and O. A. Mohammed, “Robust Adaptive Neural Network Tracking Control With Optimized Super-Twisting Sliding-Mode Technique for Induction Motor Drive System,” IEEE Trans. Ind. Appl., vol. 58, no. 3, pp. 4134–4157, 2022, doi: 10.1109/TIA.2022.3160136.

V. I. Utkin, D. S. Chen, S. Zarei, and J. Miller, “Sliding mode observers for automotive alternators,” Proc. Am. Control Conf., vol. 1, no. June, pp. 165–166, 1999, doi: 10.1109/acc.1999.782760.

F. Boumaraf, T. Boutabba, and S. Belkacem, “Dual direct torque control of doubly fed induction machine using second order sliding mode control,” J. Meas. Eng., vol. 9, no. 1, pp. 1–12, 2021, doi: 10.21595/jme.2021.21432.

M. Horch, A. Boumediene, and L. Baghli, “Backstepping approach for nonlinear super twisting sliding mode control of an induction motor,” 3rd Int. Conf. Control. Eng. Inf. Technol. CEIT 2015, 2015, doi: 10.1109/CEIT.2015.7233109.

F. Amrane, A. Chaiba, B. E. Babes, and S. Mekhilef, “Design and implementation of high performance field oriented control for grid-connected doubly fed induction generator via hysteresis rotor current controller,” Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., vol. 61, no. 4, pp. 319–324, 2016.

S. Khadar, H. Abu-Rub, and A. Kouzou, “Sensorless Field-Oriented Control for Open-End Winding Five-Phase Induction Motor with Parameters Estimation,” IEEE Open J. Ind. Electron. Soc., vol. 2, pp. 266–279, 2021, doi: 10.1109/OJIES.2021.3072232.

S. Puchalapalli and B. Singh, “A Novel Control Scheme for Wind Turbine Driven DFIG Interfaced to Utility Grid,” IEEE Trans. Ind. Appl., vol. 56, no. 3, pp. 2925–2937, 2020, doi: 10.1109/TIA.2020.2969400.

A. Kazemtarghi, A. Chandwani, N. Ishraq, and A. Mallik, “Active Compensation-based Harmonic Reduction Technique to Mitigate Power Quality Impacts of EV Charging Systems,” 2022, doi: 10.1109/TTE.2022.3183478.

N. H. Viet and P. D. Dai, “A Comparison of DTC and PTC Techniques for Induction Motor Drive Systems,” Proc. 13th Int. Conf. Electron. Comput. Artif. Intell. ECAI 2021, 2021, doi: 10.1109/ECAI52376.2021.9515130.

S. K. Singh, “Synchronized Sine-triangle PWM Based Control of High-Speed PMSM Drive With Reduced Switching Losses and Enhanced Performance Department of Electrical Engineering,” 2022.

M. Benkahla, R. Taleb, and Z. Boudjema, “a New Robust Control Using Adaptive Fuzzy Sliding Mode Control for a Dfig Supplied By a 19-Level Inverter With Less Number of Switches,” Electr. Eng. Electromechanics, vol. 0, no. 4, pp. 11–19, 2018, doi: 10.20998/2074-272x.2018.4.02.

M. Mamdouh, A. Salem, and M. A. Abido, “An improved multi-objective fuzzy decision based predictive torque control of induction motor drive,” Proc. IECON 2017 - 43rd Annu. Conf. IEEE Ind. Electron. Soc., vol. 2017-Janua, pp. 8675–8680, 2017, doi: 10.1109/IECON.2017.8217524.


  • There are currently no refbacks.

Copyright (c) 2023 Journal of Electrical Engineering, Electronics, Control and Computer Science

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.