ADVANCED MODELING AND OPTIMIZATION METHODS FOR ELECTRIC MACHINES
Keywords:
Electric machines, mathematical modeling, optimization methods, finite element method, genetic algorithm, particle swarm optimization, machine learning, energy efficiency, simulation, control systems.Abstract
This article examines advanced modeling and optimization methods for electric machines. Electric machines are widely used in industrial systems, transportation, renewable energy, and automation, where high efficiency and accurate performance are required. The study analyzes modern mathematical modeling techniques such as differential equations, finite element methods, and simulation-based approaches used to describe the dynamic behavior of electric machines. In addition, optimization techniques including genetic algorithms, particle swarm optimization, and machine learning-based methods are discussed. The research highlights how advanced modeling and optimization improve energy efficiency, reduce losses, and enhance the performance and reliability of electric machine systems.
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