این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Electrical and Electronic Engineering، جلد ۲۰، شماره ۴، صفحات ۳۴۰۲-۳۴۰۲
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Advanced Photovoltaic Emulator with ANN-Based Modeling Using a DC-DC Push-Pull Converter and LQR Control with Current Observer
چکیده انگلیسی مقاله As solar photovoltaic power generation becomes increasingly widespread, the need for photovoltaic emulators (PVEs) for testing and comparing control strategies, such as Maximum Power Point Tracking (MPPT), is growing. PVEs allow for consistent testing by accurately simulating the behavior of PV panels, free from external influences like irradiance and temperature variations. This study focuses on developing a PVE model using deep learning techniques, specifically a Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) with backpropagation as the learning algorithm. The ANN is integrated with a DC-DC push-pull converter controlled via a Linear Quadratic Regulator (LQR) strategy. The ANN emulates the nonlinear characteristics of PV panels, generating precise reference currents. Additionally, the use of a single voltage sensor paired with a current observer enhances control signal accuracy and reduces the PVE system's hardware requirements. Comparative analysis demonstrates that the proposed LQR-based controller significantly outperforms conventional PID controllers in both steady-state error and response time.
کلیدواژه‌های انگلیسی مقاله Photovoltaic Emulators (PVEs), Artificial Neural Network (ANN), DC-DC Push-Pull Converter, LQR Strategy, Luenberger observer.
نویسندگان مقاله | Aboubakeur HADJAISSA
LACoSERE Laboratory, University of Laghouat, Algeria


| Mohammed BENMILOUD
LACoSERE Laboratory, University of Laghouat, Algeria


| khaled AMEUR
LACoSERE Laboratory, University of Laghouat, Algeria


| HALIMA BOUCHENAK
University of Laghouat


| Maria DIMEH
University of Laghouat
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-4148-1&slc_lang=en&sid=1
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Neural Networks
نوع مقاله منتشر شده Closed - 2024 Special Issue on Applications of Deep Learning in Electrical and Electronic Engineering
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات