Determination of the optimal slip value for minimizing electrical losses in an induction motor
DOI:
https://doi.org/10.15588/1607-6761-2026-1-5Keywords:
induction motor, minimization, slip, steady-state operation, energy efficiency, electrical lossesAbstract
Purpose. The aim of the work is to conduct theoretical research and develop a methodology for determining the optimal operating slip value to minimize electrical losses under varying load conditions on the induction motor rotor shaft.
Methodology. The research was conducted using the fundamentals of mathematical modeling theory for a generalized AC electrical machine, classical optimization methods, the basics of automated control theory, loss minimization techniques in induction motor drives, and methods for the interpolation and approximation of calculated data.
Findings. A methodology has been developed for determining the optimal operating slip value to minimize electrical losses under varying rotor shaft load conditions in a quasi-steady-state mode of induction motor operation. A universal objective function for minimizing electrical losses in the induction motor as a function of slip frequency has been obtained. In the process of solving the optimization problem using classical single-variable optimization methods, an expression for the optimal slip frequency was derived, as well as the relationships between current magnitudes and the parameters of the induction motor stator and rotor winding phases. These were obtained based on the conventional mathematical description of a generalized AC electrical machine for its steady-state operation. The effectiveness of the proposed methodology has been proven using the example of an AIR225M2 induction motor with a power rating of 55 kW, for which the electrical loss dependence in a quasi-steady-state mode under a static load of Mc = 0.5Mnom was obtained. It was established that the optimal slip value for this induction motor is s = 0.038.
Originality. For induction motors of various power ratings, a universal objective function has been derived to minimize electrical losses as a function of slip frequency. This function enables the determination of a performance characteristic representing the dependence of the maximum attainable efficiency on the load torque on the shaft for induction motors of any power range.
Practical value. The research findings can be implemented in induction motor drive systems equipped with rotor speed sensors to enable automated self-regulation of the motor speed. This ensures the rotor operates at the optimal slip value across the entire load range of the driven mechanism.
References
Pitis C. D., Zeller M. W. (2008). Power savings ob-tained from supply voltage variation on squirrel cage induction motors. 2008 IEEE Canada Electric Power Conference, Vancouver, BC, Canada, 1-3, doi: 10.1109/EPC.2008.4763392.
Temelkovski, Z. Hanić and G. Rafajlovski. (2025). Investigation of Power Losses in Three-phase Induc-tion Motor Taking into Consideration the Harmonics. 2025 International Conference on Electrical Drives and Power Electronics (EDPE), Dubrovnik, Croatia, 1-5, doi: 10.1109/EDPE66853.2025.11224245
K. Inoue, M. Minamiyama and T. Kato (2009). A design methodology of an optimal torque minimizing energy loss under torque limit for an induction motor. 2009 IEEE Energy Conversion Congress and Exposi-tion, San Jose, CA, USA, 163-167, doi: 10.1109/ECCE.2009.5316081.
P. B. Sree and N. P. G. Bhavani (2023). Bhavani. Efficiency Improvement of Electrical Vehicles Using Novel Permanent Magnet Motors and Compared with BLDC Motors by Reducing Power Loss. 2023 6th International Conference on Contemporary Compu-ting and Informatics (IC3I), Gautam Buddha Nagar, India, 2534-2538, doi: 10.1109/IC3I59117.2023.10397721.
A. M. Bazzi, P. T. Krein (2009). A survey of real-time power-loss minimizers for induction motors. 2009 IEEE Electric Ship Technologies Symposium, Baltimore, MD, USA, 2009, pp. 98-106, doi: 10.1109/ESTS.2009.4906500.
Zhang, L., & Wang, Y. (2025). Computationally Ef-ficient and Loss-Minimizing Model Predictive Con-trol for Induction Motors in Electric Vehicle Applica-tions. IEEE Transactions on Industrial Electronics. 72, (3), 2440-2451. doi: https://doi.org/10.3390/en18061444
Petrov, I., et al. (2024). Refined Research and Opti-mization of Energy Modes of a Frequency-Regulated Induction Motor with Variable Load. Proceedings of the 2024 International Conference on Industrial En-gineering and Applications (ICIEA), 112-118.
Chen, X., & Gupta, S. (2024). A Hybrid Search Effi-ciency Optimization Strategy for Induction Motor Drives Based on Improved Fuzzy-Golden Section Algorithm. IEEE Access, 12, 45890-45902.
Silva, J. M., et al. (2025). Comparison between pre-dictive and scalar control strategies for minimizing losses in induction motors under dynamic load condi-tions. Journal of Control, Automation and Electrical Systems, 36, (1), 88-101. doi:10.1080/21642583.2025.2481942.
Kumar, R., & Singh, B. (2013). Sensitivity Analysis of Loss-Minimization Algorithms to Parameter Varia-tions in High-Performance AC Drives. IEEE Trans-actions on Industry Applications, 59, (4), 4120-4130. doi:10.1109/IECON.2013.6699982
Muller, H. (2024). Energy optimization of induction motor in transient state under field-oriented control: A non-intrusive approach. Journal of Renewable and Sustainable Energy, 16(2), 024501. doi:10.1109/ISPA59904.2024.10536747
Liu, H., & Zhao, T. (2006). Impact of Advanced PWM Strategies on Harmonic Iron Losses in High-Speed Induction Motor Drives. IEEE Transactions on Power Electronics, 40, (2), 1540-1555. doi:10.1109/IAS.2006.256619
Marek, J., & Novak, P. (2024). Efficiency Optimiza-tion of VFD-Fed Induction Motors through Adaptive Switching Frequency Control. Energies, 17(4), 932.
Abed, K., & Zine, H. K. E. (2024). Intelligent fuzzy back-stepping observer design based induction motor robust nonlinear sensorless control. Electrical Engi-neering & Electromechanics, (2), 10–15. https://doi.org/10.20998/2074-272X.2024.2.02.
Wang, Q., & Li, X. (2025). Energy-Efficient Vector Control of Induction Motor Without Speed Sensor Based on Deep Reinforcement Learning. IEEE Jour-nal of Emerging and Selected Topics in Power Electronics, 13(1), 210-222.
Sakthivel V. P. and Subramanian S. (2011). Using MPSO algorithm to optimize three-phase squirrel cage induction motor design, 2011 International Con-ference on Emerging Trends in Electrical and Computer Technology, Nagercoil, India, 261-267, doi: 10.1109/ICETECT.2011.5760126.
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