Published January 30, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

Systemic Multi-Objective Optimization of Induction Motor-Driven Electromechanical Systems

Authors/Creators

  • 1. Department of Electrical and Electronics Engineering, Jazan University, Jazan, Saudi Arabia.

Contributors

Contact person:

  • 1. Department of Electrical and Electronics Engineering, Jazan University, Jazan, Saudi Arabia.

Description

Abstract: The optimization of electromechanical systems, such as those involving induction motors and gearboxes, is crucial for improving energy efficiency, system performance, and reliability in industrial applications. This paper presents an advanced methodology for optimizing the energy efficiency of electromechanical systems, integrating both mechanical and electrical subsystems to minimize the system's overall weight, energy losses, and transient response time. The optimization problem is approached holistically, considering the interdependence of various system parameters and applying multi-objective optimization techniques to address conflicting objectives. The analysis focuses on optimizing the gearbox speed ratio to minimize the relative weight of the motor-gearbox system while maintaining operational efficiency. A systemic approach, utilizing convex surrogate modeling and multi-stage gearboxes, is proposed to improve the scalability of the solution. The results demonstrate the existence of optimal gearbox speed ratios for various motor sizes and configurations, offering insights into the best design choices for minimizing system weight and optimizing performance. These findings apply to a range of real-world systems, including electric vehicles and industrial machinery, where minimizing weight and optimizing energy efficiency are critical for improving overall system performance and reducing operational costs.

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Additional details

Identifiers

DOI
10.35940/ijitee.B1044.14020125
EISSN
2278-3075

Dates

Accepted
2025-01-15
Manuscript received on 20 December 2024 | First Revised Manuscript received on 02 January 2025 | Second Revised Manuscript received on 09 January 2025 | Manuscript Accepted on 15 January 2025 | Manuscript published on 30 January 2025.

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