Application of adaptive neuro-fuzzy controller (ANFIS) for voltage source inverter fed induction motor drive

Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435) Pub Date : 2000-08-15 DOI:10.1109/IPEMC.2000.884638

M. Aware, A. Kothari, S.O. Choube

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引用次数: 33

Abstract

The fuzzy logic controllers with their inherent advantages are implemented for various applications. This paper describes the application of adaptive neuro-fuzzy logic based speed control of induction motor drive. The Conventional PI/PID controller is replaced by fuzzy controller in speed control loop. Adaptive neuro-fuzzy inference system (ANFIS) which tunes the fuzzy inference system with a backpropagation algorithm based on collection of input-output data is implemented. This enables the fuzzy system to learn. This training is given from a standard response data of the system and membership functions are suitably modified. The design of this ANFIS based fuzzy controller is presented. Simulation study indicates the superiority of fuzzy controllers over the conventional control method. The modified ANFIS controller is implemented using DSP. The test results are presented. The major advantage of the ANFIS based FLC system is to improve the system robustness.

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自适应神经模糊控制器(ANFIS)在电压源逆变器感应电机驱动中的应用

模糊逻辑控制器以其固有的优点在各种应用中得以实现。本文介绍了基于自适应神经模糊逻辑的异步电动机调速控制的应用。在速度控制回路中采用模糊控制器代替传统的PI/PID控制器。采用基于输入输出数据集合的反向传播算法对模糊推理系统进行自适应神经模糊推理系统(ANFIS)的调谐。这使得模糊系统能够学习。该训练是根据系统的标准响应数据进行的，并对隶属函数进行了适当的修改。介绍了基于ANFIS的模糊控制器的设计。仿真研究表明了模糊控制器相对于传统控制方法的优越性。改进的ANFIS控制器采用DSP实现。给出了试验结果。基于ANFIS的FLC系统的主要优点是提高了系统的鲁棒性。

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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Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)

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