DC Motor Neuro-Fuzzy Controller Using PSO Identification

被引：0

作者：

Farid, Ali Moltajaei ^{[1
]}

Barakati, S. Masoud ^{[1
]}

机构：

[1] Univ Sistan & Baluchestan, Sch Elect & Comp Engn, Zahedan, Iran

来源：

2014 22ND IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2014年

关键词：

ANFIS; PSO identification; DC motor; PWM control; AVR microprocessor; ATMEGA32; ADAPTIVE-CONTROL; SYSTEM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

DC Motor controller is the most important issue in many applications. There are trade-off between the performance and the final cost. Most of the proposed controllers in the territory of artificial intelligence have complicated computations that make them inapplicable. In this paper particle swarm optimization is used for identification of the DC motor and then adaptive neuro-fuzzy inference system is applied while it trained off-line by PSO. The proposed controller has been implemented in AVR's ATMEGA32 microcontroller.

引用

页码：1162 / 1167

页数：6

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