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The brushless DC motor (BLDCM) has a good control performance. The classical PI controller is widely used controller. But the determining of its parameter needs the mathematical model of the system. Usually the exact mathematical model of system is hard to known. This places a restriction on the applying of the commonly used Z-N method to determine the parameters. Also the parameter determined by...
To overcome the limitation of the traditional load forecasting method, a new load forecasting system basing on radial basis Gaussian kernel function (RBF) neural network is proposed in this paper. Genetic algorithm adopting the real coding, crossover probability and mutation probability was applied to optimize the parameters of the neural network, and a faster convergence rate was reached. Theoretical...
In order to minimize the volume of HTS magnets and reduce the perpendicular component of magnetic field, two optimal algorithms- iterative algorithm and genetic algorithm are presented to make optimal design of geometry parameter of HTS magnets. The example of optimal design of 500kJ HTS magnet is also given. And the comparison between iterative algorithm and genetic algorithm has done. The iterative...
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