一种基于模糊逻辑逆工厂模型的新型直流驱动器

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI:10.1109/ICIT.2004.1490236

P. Ponce, R. Blancas, C. Tena, M. Rana

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引用次数: 0

摘要

本文提出了一种基于自适应神经模糊推理系统(ANFIS)优化的模糊逻辑(Sugeno型)逆植物模型的直流驱动。由模糊逻辑工厂模型和模糊逻辑逆工厂模型组成控制系统仿真。将反对象模型编程到单片机中，用实际直流电机代替对象模型，对开环调速样机进行了测试，并给出了仿真和实验结果来验证本文的理论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel DC drive based on fuzzy logic inverse plant model optimised by ANFIS

In this work a direct current (DC) drive based on the fuzzy logic (Sugeno type) inverse plant model optimised by adaptive neuro-fuzzy inference system (ANFIS) is presented. A control system simulation formed by the fuzzy logic plant model and the fuzzy logic inverse plant model was generated. Programming the inverse plant model into a microcontroller and substituting the plant model by the real DC motor, an open-loop speed control prototype was tested and the simulation and experimental results are included to validate the theory presented in this paper.

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2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.

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