变频器数字电流调节神经网络的设计与实现

Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting Pub Date : 1991-09-28 DOI:10.1109/IAS.1991.178189

Michael Buhl, R. Lorenz

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引用次数: 74

摘要

讨论了一层、二层和三层神经网络的设计，用于逆变器驱动的数字电流调节。通过开发两种不同的学习技术来评估各种设计的学习需求。通过仿真对模型和学习技术进行了研究。这些模拟结果与设计考虑一起用于确定最适合此应用程序的网络。介绍了神经网络的实现方法，并给出了实验结果。

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Design and implementation of neural networks for digital current regulation of inverter drives

A discussion is presented of the design of one, two, and three layer neural networks for digital current regulation of the inverter drives. The learning requirements of various designs are evaluated by developing two different learning techniques for such inverter current regulators. The models and learning techniques have been investigated by simulation. These simulation results along with design considerations are used to determine the network best suited for this application. The implementation of neural networks is described, and experimental results are given.<>

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Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting

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