جلد 5، شماره 1 - ( 12-1387 )                   جلد 5 شماره 1 صفحات 60-66 | برگشت به فهرست نسخه ها


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

K. Malekian, J. Milimonfared, B. Majidi. Performance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drives Using Artificial Intelligence . IJEEE. 2009; 5 (1) :60-66
URL: http://ijeee.iust.ac.ir/article-1-116-fa.html
Performance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drives Using Artificial Intelligence . . 1387; 5 (1) :60-66

URL: http://ijeee.iust.ac.ir/article-1-116-fa.html


چکیده:   (6203 مشاهده)
The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating uncertainties. At each operating condition, a genetic algorithm is used to optimize fuzzy logic parameters in closed-loop direct torque control scheme. In other words, the genetic algorithm finds optimum input and output scaling factors and optimum number of membership functions. This optimization procedure is utilized to obtain the minimum speed deviation, minimum settling time, zero steady-state error. The control scheme has been verified by simulation tests with a prototype interior permanent magnet synchronous motor.
متن کامل [PDF 177 kb]   (2556 دریافت)    
نوع مطالعه: Research Paper |
دریافت: ۱۳۸۷/۱۲/۲۶

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
کد امنیتی را در کادر بنویسید

کلیه حقوق این وب سایت متعلق به می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2015 All Rights Reserved | Iranian Journal of Electrical and Electronic Engineering

Designed & Developed by : Yektaweb