Simulation of Energy Efficiency Improvement in Induction Motor Drive by Fuzzy Logic Based Temperature Compensation

被引：8

作者：

Jirasuwankul, N. ^{[1
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang KMITL, Dept Elect Engn, Fac Engn, Bangkok 10520, Thailand

来源：

3RD INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH, ICEER 2016 | 2017年 / 107卷

关键词：

Energy Efficiency; Induction Motor; Fuzzy Logic;

D O I：

10.1016/j.egypro.2016.12.154

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper proposes a method of improving efficient energy usage in induction motor drive system when operated under high temperature condition. By confining the drive signal to the prospective domain of that compensated by operating temperature range, an optimum point of driving performance and energy efficiency will be met for the given load torque and speed command. In this study, fuzzy logic has been applied as a temperature compensator and incorporated into the system model in MATLAB-Simulink. Simulation results showed that the system can operate and retain its performance together with efficient utilization of energy under high temperature condition. (C) 2016 The Authors. Published by Elsevier Ltd.

引用

页码：291 / 296

页数：6

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