Publication Details
Abstract
The accuracy of theoretical models for monitoring and control systems of induction motors plays a critical role in improving operational reliability and energy efficiency in industrial applications. Although theoretical approaches are widely used to predict motor performance, discrepancies between calculated and experimentally obtained parameters may affect the effectiveness of monitoring and control strategies. This study aims to validate theoretical models of induction motor monitoring and control under symmetrical operating conditions through comparative analysis with experimental and simulation-assisted results. A 5 kW three-phase induction motor operating at 380 V and 50 Hz was considered as the study object. The validation framework included evaluation of electrical and operational parameters such as current, power consumption, rotational speed, power factor, and efficiency. Theoretical predictions were compared with model-based results to determine deviations and assess model adequacy under balanced operating conditions. The findings demonstrate that theoretical models can provide acceptable prediction accuracy for key performance indicators; however, deviations increase under varying load conditions. The proposed validation approach may contribute to improving monitoring accuracy, control system reliability, and predictive assessment of induction motor performance in industrial environments.