О проекте

In the present work, an optimum design and analyses of active magnetic thrust bearings (AMTB) and hybrid magnetic thrust bearings (HMTB) have been carried out. The active magnetic bearing contains only electromagnets, whereas, the hybrid contains both the electro-magnets and permanent magnets. Initially, the optimization has been carried out using single-objective genetic algorithms (SOGA). Two objectives, namely the power-loss and overall weight of the bearing, are considered one at a time. Different constraints considered are the maximum current density flow in the coil, the maximum flux density flow in the stator iron, the maximum power-loss allowed, and the maximum space occupied by the bearing. Two objectives considered are found to be conflicting. This led to the attempt of optimization by using multi-objective genetic algorithms (MOGA) by considering two objectives simultaneously namely, the power-loss and overall weight of the bearing. The effect of load on the Pareto frontier has been studied, and the load is found out to be an objective in addition to the weight and the power-loss. A complex system of double-acting hybrid magnetic thrust bearings (DAHMTB) with a centralized controller as an integrated system has been optimized by using MOGA. Five objectives are considered with three for the actuator and two for the controller. Additional constraints considered are stability conditions of the controller.

P Design Optimization of Active Magnetic Thrust Bearing Systems using Multi Objective Genetic Algorithms


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