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The recent emphasis on energy conversion demands an improvement of the efficiency of three-phase induction motors (IM). The high efficiency IM can be achieved by selecting optimum motor design parameters. Therefore, it is necessary to develop an efficient evolutionary approach for optimal design of three-phase IM. This paper presents a bacterial foraging (BF) algorithm for optimizing the IM design...
Improving the efficiency of three-phase squirrel cage induction motors, which are the most energy consuming electric machines in the world, saves much energy. The efficiency can be raised by optimizing the induction motor design. The objective of this paper is mainly to develop a modified particle swarm optimization (MPSO) technique to the three-phase cage induction motor design problem with a view...
Prolonged induction motor operations under impaired cooling conditions can lead to overtemperature of motor components, which leads to accelerated degradation of motor windings, bearings and stator cores. This paper proposes a novel cooling condition monitoring method to detect and classify impaired cooling conditions. A second-order thermal model is used to characterize thermal behaviors of induction...
This paper presents an optimal design of poly-phase induction motor using Particle Swarm Optimization (PSO). The optimization algorithm considers the cost of active material as objective function and nine performance related items as constraints. The PSO algorithm was implemented on two test motors (7.5 kW and 110 kW) and their results are compared with the Constrained Rosen Brock Method (Hill algorithm)...
This paper presents results of optimization calculation of the big power low voltage induction motor. The results received by new three hybrid algorithms: GA-R, ESmu+lambda-R, PSO-R were compared. These hybrid algorithms were created by connecting three algorithms of global optimization, i.e. genetic algorithm GA, evolutionary strategy ES and particle swarm optimization PSO with a suitable modified...
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