Extended Condition Monitoring of Grid-connected Industrial Induction Motors using SMC Technique
Main Article Content
Abstract
The control method for a vehicle that combines Sliding Mode Control (SMC) and Active Power Control (APC) for three-phase induction motors that encounter unmeasured speed circumstances and unknown disturbances is examined in this work. The primary contribution is the creation of an improved controller with a time-varying gain mechanism that maintains balanced performance and rapid response while managing the peak phenomena often associated with abrupt changes in speed, torque, and loads. Starting from a conservative setting and smoothly transitioning to a high-gain system, the active power control model with the suggested sliding controller is made to adapt to real-time changes and offers a quantitative balance between transient peaks and response precision. A sliding-mode controller with active disturbance compensation is implemented based on accurate assessments of disturbances and reconstructed states from the proposed system. This greatly decreases abrupt vibrations, a persistent problem in classic SMC. The remarkable durability of the Sliding Mode Controller (SMC) and its capacity to manage the intricate nonlinear nature of these motors in a manner that is less complicated than more sophisticated alternatives are what make it unique, particularly in induction motor applications. Since a three-phase induction motor is a highly nonlinear system and its properties, such as internal resistance, fluctuate with temperature and loads, we must examine how it operates in order to comprehend why. The software simulation results of the proposed SMC based on the extended state observer (ESO) model showed THD < 3.5%, with response time < 15 ms, along excellent chattering elimination and high real-time compensation.
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Licensed under a CC-BY license: https://creativecommons.org/licenses/by-nc-sa/4.0/
How to Cite
References
1. Tran CD, Nguyen TX, Nguyen PD (2021), A field-oriented control method using the virtual currents for the induction motor drive. International Journal of Power Electronics and Drive Systems (IJPEDS) 12: 2095‒2101. https://doi:10.11591/ijpeds
2. Zellouma D, Bekakra Y, Benbouhenni H (2023) Field-oriented control based on parallel proportional–integral controllers of induction motor drive. Energy Reports 9: 4846‒4860. https://doi.org/10.1016/j.egyr.2023.04.008
3. Fadhil AH, Lina JR (2024), Combining fractional-order PI controller with field-oriented control based on maximum torque per ampere technique considering iron loss of induction motor, AIMS Electronics and Electrical Engineering, electreng.2024018 drives, 8: 370‒393. https://10.3934/
4. Wang F, Mei X, Tao P, Kennel R, Rodriguez J (2017), Predictive field-oriented control for electric Chinese Journal, 2017.7961324 of Electrical Engineering 3: 73‒78, https://doi.org/10.23919/CJEE.
5. Nordin K B, Novotny DW, Zinger DS (1985), The influence of motor parameter deviations in feed-forward field orientation drive systems. IEEE T Ind Appl IA-21: 1009‒1015. https://doi.org/10.1109/TIA.1985.349571
6. Utkin VI, Guldner J, Shi J (2017), Sliding mode control in electromechanical systems. Pub. Boca Raton. 2nd Eds., Taylor-Francis Group. https://doi.org/doi.org/10.1201/9781420065619
7. Saqib JR, Saba J, Yawar R, Mohsin J (2023), Sliding mode control rotor flux MRAS based speed sensorless induction motor traction drive control for electric vehicles. AIMS Electronics and Electrical Engineering 7: 354–379. https://doi.10.3934/electreng.2023019
8. Rekha T, Anandita C (2024), An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive. AIMS Electronics and Electrical Engineering, electreng.2024016 mode, 8: 340‒359. https://doi.10.3934/
9. Kachroo P (1999) Existence of solutions to a class of nonlinear convergent chattering-free sliding control systems. https://doi.org/10.1109/9.780438
10. Yadav SL, Karvekar SS (2022), Design of integral sliding mode controller for speed control of induction motor. 2022 2nd International Conference on Intelligent Technologies (CONIT), pp. 1‒6. https://doi.org/10.1109/CONIT55038.2022.9847959
11. Shiravani F, Alkorta P, Cortajarena JA, Barambones O (2022), An enhanced sliding mode speed control for induction motor drives. Actuators 11: 18. https://doi.org/10.3390/act11010018
12. Lumertz MM, dos Santos STCA, Guazzelli PRU, de Oliveira CMR, de Aguiar ML, Monteiro JRBDA (2023) Performance-based design of pseudo-sliding mode speed control for electrical motor drives. Control Eng https://doi.org/10.1016/j.conengprac.2022.105413
13. Guo, L., Jing, Y., Wang, Y., Jin, N., & Liu, J. (2025). Model-free predictive current control for a new neutral point connected open-end winding induction motor based on an improved sliding mode observer. Electrical Engineering, 107(10), 12721. https://doi.org/10.1007/s00202-025-03172-x
14. Guo, L., Jing, Y., Wang, Y., Jin, N., & Liu, J. (2025). Model-free predictive current control for a new neutral point connected open-end winding induction motor based on an improved sliding mode observer. Dimensions. https://dtic.dimensions.ai/details/publication/pub.1189716495
15. (2025). Recent Developments in Sliding Mode Control for Electric Drives: Performance Assessment, and Comparative Evaluation With Conventional Techniques. IEEE Transactions on Power Electronics. https://dtic.dimensions.ai/details/publication/pub.1198129244
16. (2025). Evaluation of Voltage Harmonic Influences from Grid-Connected PV Systems on Induction Motor Drive Efficiency. 2025 9th International Conference on Environment Friendly Energies and Applications (EFEA), 1-8. https://dtic.dimensions.ai/details/publication/pub.1198516952
17. (2025). Advanced control of induction motors (2019–2025): A comprehensive review of strategies, algorithms and sensorless techniques. ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2772671125002050
18. Sivaprasad, D. (2025). The Intelligent Optimization Algorithm Based Floating DC Link Converter for Induction Motor [PhD Thesis, Bharath Institute of Higher Education and Research]. https://shodhganga.inflibnet.ac.in/bitstream/10603/656193/12/80_recommendation.pdf
19. (2025). Enhanced control strategy for grid fed battery assisted induction motor based electric vehicle. Franklin Open, 10, 100232. https://scholar-cnki-net-443.webvpn.imac.edu.cn/zn/Detail/index/GARJ2021_5/SJESB0391F766BD2F7605CBB9C17B0F21F4C
20. Sferlazza, A., D'Ippolito, F., Alonge, F., Cirrincione, M., & Pucci, M. (2017). Robust Active Disturbance Rejection Control of Induction Motor Systems Based on Additional Sliding-Mode Component. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2017.2677298
21. Feng, Y., Zhou, M., & Yu, X. (2013). High-order sliding-mode based energy saving control of induction motor. 2013 25th Chinese Control and Decision Conference (CCDC), 4659-4664. https://doi.org/10.1109/ccdc.2013.6561776
22. Guo, L., Jing, Y., Wang, Y., Jin, N., & Liu, J. (2025). Model-free predictive current control for a new neutral point connected open-end winding induction motor based on an improved sliding mode observer. Electrical Engineering, 107(10), 12721. https://doi.org/10.1007/s00202-025-03172-x
23. Ben Salem, F., et al. (2024). Enhanced control technique for induction motor drives in electric vehicles: A fractional-order sliding mode approach with DTC-SVM. Energies, 17(17), 4340. https://doi.org/10.3390/en17174340
24. Sferlazza, A., D'Ippolito, F., Alonge, F., Cirrincione, M., & Pucci, M. (2017). Robust active disturbance rejection control of induction motor systems based on additional sliding-mode component. IEEE Transactions on Industrial Electronics, 65(3), 2093-2103. https://doi.org/10.1109/tie.2017.2677298
25. Larbaoui, A., et al. (2024). Robust neuro-fuzzy sliding mode control with extended state observer for an electric drive system. Energy, 289, 129845. https://doi.org/10.1016/j.energy.2023.129845