Srinivasa Rao Jagu

PhD    /    Индия, Hyderabad

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Публикации

Optimum Design and Analysis of Axial Hybrid Magnetic Bearings Using Multi-Objective Genetic Algorithms

Rao, Jagu S. and Tiwari R.
Design optimization of axial hybrid magnetic thrust bearings (with bias magnets) is carried out using multi-objective evolutionary algorithms (MOEAs) and compared with the case of electro magnetic bearings (without bias magnets). Mathematical models of objective functions and associated...
→ Magnetic Bearings   → biased magnets   → Genetic Algorithms   → design optimization  

Design optimization of magnetic thrust bearing systems using multi-objective genetic algorithms

Rao, Jagu S.
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....
→ Magnetic Bearings   → design optimization   → Multi objective Genetic Algorithms   → Pareto Optimal Design Optimization   → Integrated Design Optimization  

Design optimization of double-acting hybrid magnetic thrust bearings with control integration using multi-objective evolutionary algorithms

Rao, Jagu S. and Tiwari R.
Integration of the geometric and control designs in conjunction with the optimization is the current trend in mechatronic products. In the present work, an optimal design methodology of double-acting hybrid active magnetic thrust bearings has been proposed. Double-acting actuators and controller...
→ Magnetic bearings Biased magnets Genetic algorithms Design optimization  
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Научные и исследовательские проекты

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

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...