Optimum Power Loss in Eight Pole Radial Magnetic Bearing: Multi Objective Genetic Algorithm
Weight optimization of coil in eight pole radial magnetic bearings (RMB) has been carried out using multi-objective genetic algorithms (MOGAs). The coil weight of RMB and copper loss has been selected as the minimization type objective function. The maximum space available, saturation flux density, the maximum current densities that can be supplied in the coil and the maximum electromagnetic force have been chosen as constraints. The coil space radius, the pole tip radius, radial length of coil, number of poles has been proposed as design variables. Apart from the comparison of performance parameters in the form of figures and tables, designs are also compared through line diagrams. Post-processing has been done on the final optimized 100 populations by studying the variation of different parameters with respect to objective functions. A criterion for the choice of one of the best design based on the minimum weight of coil showing optimum copper loss.
KeywordsRadial Magnetic Bearings Genetic Algorithms Optimum Design Multi-Objective Optimization
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