مدل سازی در مهندسی

مدل سازی در مهندسی

‏حذف هارمونیک های جریان ماشین سنکرون مغناطیس دائم شش فاز با استفاده از کنترل جریان ضربان مرده مبتنی بر مدل پیش‌بین بهبودیافته

نوع مقاله : مقاله پژوهشی

نویسندگان
دانشکده مهندسی، دانشگاه شهید چمران اهواز، اهواز، ایران
چکیده
این مقاله‏‌ کنترل جریان ضربان مرده (DBCC) مبتنی بر کنترل مدل پیش‌بین برای ماشین سنکرون آهنربای دائمی (PMSM) شش‌فاز نامتقارن را پیشنهاد می‌دهد. ابتدا راه‌حل DBCC برای به دست آوردن بردار ولتاژ مرجع (RVV) مورد انتظار اتخاذ می‌شود؛ سپس دو گروه از بردارهای مجازی، درمجموع تعداد 24 بردار با مقدارهای مختلف برای آن تعریف خواهند شد. به خاطر کاهش هارمونیک‌های جریان متعاقباً دو بردار مجازی درون فازی که به RVV نزدیک‌تر هستند به‌عنوان بردارهای پیش‌بین انتخاب شده‌اند. مرحله بعدی، تعریف یک تابع هزینه است که از خطای بین RVV و بردارهای پیش‌بینی موجود تشکیل شده است، سپس دو بردار مجازی انتخاب شده مورد ارزیابی قرار گرفته و تابعی که تابع هزینه را به حداقل برساند در لحظه بعدی تنها به دو بردار پیش‌بین نیاز است مورد ارزیابی قرار می‌گیرد که بار محاسباتی بسیار زیاد را کاهش می‌دهد. در این میان از ضریب وزنی کنترل پیش‌بین گشتاور اجتناب می‌شود. علاوه بر این، برای دستیابی به پیاده‌سازی آسان با توالی سوئیچینگ استاندارد PWM ، 18 بردار مجازی با آن‌ها جایگزین می‌شوند. درنهایت، روش پیشنهادی با سایر روش‌های مشابه به‌صورت مقایسه‌ای مورد مطالعه قرار گرفته است. نتایج و اعتبارسنجی مقاله با استفاده از نرم‌افزار متلب انجام شده است.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Eliminating Current Harmonics of Six-Phase Permanent Magnet Synchronous Machine Using Deadbeat Current Control Based on Improved Predictive Model

نویسندگان English

Peyman Mirzaeipour
Seyed Ghodratollah Seifosadat
Mohsen Saniei
Seyed Saeidollah Mortazavi
Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
چکیده English

This paper proposes dead beat current control (DBCC) based on predictive model control for six-phase asymmetric permanent magnet synchronous machine (PMSM). First, the DBCC solution is adopted to obtain the expected reference voltage vector (RVV); Then two groups of virtual vectors, a total of 24 vectors with different values ​​will be defined for it. Due to the reduction of current harmonics, two in-phase virtual vectors that are closer to RVV are subsequently selected as predictor vectors. The next step is to define a cost function consisting of the error between the RVV and the available prediction vectors, Then, the two selected virtual vectors are evaluated and the function that minimizes the cost function is evaluated at the next moment, only two predictor vectors are needed, which greatly reduces the computational burden. Meanwhile, the weighting coefficient of torque prediction control is avoided. Moreover, to achieve easy implementation with standard PWM switching sequence, 18 virtual vectors are replaced by them. Finally, the proposed method has been studied comparatively with other methods. The results and validation of the article have been done using MATLAB software.

کلیدواژه‌ها English

Elimination of current harmonics
Six-phase permanent magnet synchronous machine
Dead beat current control
Improved predictive model
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دوره 24، شماره 85
در حال تکمیل شدن
تیر 1405
صفحه 201-216

  • تاریخ دریافت 24 شهریور 1403
  • تاریخ بازنگری 22 تیر 1404
  • تاریخ پذیرش 27 مرداد 1404