Multi-objective Design Optimization of Slotless PM Motors Using Genetic Algorithms Based on Analytical Field Calculation

Abstract

AbstractIn this work, a Non-dominated Sorting Genetic Algorithm (NSGAII) is used to solve a Multi-objective Optimization problem which consists of the maximization of the average torque and the reduction of the slotless PM motors mass. Firstly a magnetic analytical model of the motor is developed to define an optimization problem and a set of design constraints. Then, the (NSGAII) algorithm is used to solve this optimization problem.KeywordsMultiobjective OptimizationOffspring PopulationAverage TorqueIron IronEvolutionary Multiobjective OptimizationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.