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1.
For an energy-efficient induction machine, the life-cycle cost (LCC) usually is the most important index to the consumer.
With this target, the optimization design of a motor is a complex nonlinear problem with constraints. To solve the problem,
the authors introduce a united random algorithm. At first, the problem is divided into two parts, the optimal rotor slots
and the optimization of other dimensions. Before optimizing the rotor slots with genetic algorithm (GA), the second part is
solved with TABU algorithm to simplify the problem. The numerical results showed that this method is better than the method
using a traditional algorithm.
Project (No. 601299) supported by the Science Foundation of Hebei Province, China. 相似文献
2.
This paper presents a powerful application of genetic algorithm (GA) for the minimization of the total harmonic current distortion (THCD) in high-power induction motors fed by voltage source inverters, based on an approximate harmonic model. That is, having defined a desired fundamental output voltage, optimal pulse patterns (switching angles) are determined to produce the fundamental output voltage while minimizing the THCD. The complete results for the two cases of three and five switching instants in the first quarter period of pulse width modulation (PWM) waveform are presented. Presence of harmonics in the stator excitation leads to a pulsing-torque component. Considering the fact that if the pulsing-torques are at low frequencies, they can cause troublesome speed fluctuations, shaft fatigue, and unsatisfactory performance in the feedback control system, the 5th, 7th, 1 lth, and 13th current harmonics (in the case of five switching angles) are constrained at some pre-specified values, to mitigate the detrimental effects of low-frequency harmonics. At the same time, the THCD is optimized while the required fundamental output voltage is maintained. 相似文献