Abstract

This research presents a comprehensive approach to the justification and development of an efficient mathematical model of an induction motor tailored for integration into predictive control systems aimed at enhancing energy efficiency. Induction motors, widely used in industrial applications, are often subject to inefficient operation due to inadequate control strategies and outdated modeling techniques. The study focuses on identifying and validating a rational model structure that accurately reflects the motor's dynamic behavior under variable operating conditions. Using both theoretical analysis and simulation-based verification, the proposed model supports the implementation of Model Predictive Control (MPC), enabling real-time optimization of energy consumption. Comparative assessments were conducted between the proposed model and conventional approaches, demonstrating superior performance in terms of prediction accuracy, computational efficiency, and responsiveness to load variations.

Keywords: induction motor, model predictive control (MPC), energy efficiency, motor modeling, dynamic simulation, control systems, optimization

References

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