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

DOI: 10.35940/ijitee.b1044.14020125 Publication Date: 2025-01-25T06:35:32Z
ABSTRACT
The optimization of electromechanical systems, such as those involving induction motors and gearboxes, is crucial for improving energy efficiency, system performance, reliability in industrial applications. This paper presents an advanced methodology optimizing the efficiency integrating both mechanical electrical subsystems to minimize system's overall weight, losses, transient response time. problem approached holistically, considering interdependence various parameters applying multi-objective techniques address conflicting objectives. analysis focuses on gearbox speed ratio relative weight motor-gearbox while maintaining operational efficiency. A systemic approach, utilizing convex surrogate modeling multi-stage proposed improve scalability solution. results demonstrate existence optimal ratios motor sizes configurations, offering insights into best design choices minimizing performance. These findings apply a range real-world including electric vehicles machinery, where are critical performance reducing costs.
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