Volume 14, Issue 1 (March 2018)                   IJEEE 2018, 14(1): 1-10 | Back to browse issues page

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Hamidi A, Ahmadi A, Karimi S. Implementation of Low-Cost Architecture for Control an Active Front End Rectifier. IJEEE 2018; 14 (1) :1-10
URL: http://ijeee.iust.ac.ir/article-1-1129-en.html
Implementation of Low-Cost Architecture for Control an Active Front End Rectifier
A. Hamidi , A. Ahmadi , S. Karimi
Abstract:   (5250 Views)
In AC-DC power conversion, active front end rectifiers offer several advantages over diode rectifiers such as bidirectional power flow capability, sinusoidal input currents and controllable power factor. A digital finite control set model predictive controller based on fixed-point computations of an active front end rectifier with unity displacement of input voltage and current to improve dynamic response has been presented in this paper. Here by using a predictive cost function and fixed-point computations, the optimal switching state to be applied in the next sampling is selected. The low-cost architecture is implemented on a FPGA platform. Designed architecture is constructed based on fixed-point arithmetic with minimal functional units. The control algorithm, which is used in this architecture, is Finite-Set Model Predictive Control (FS-MPC). Compared with other controllers, this controller provides a much better dynamic performance. Finally, in order to evaluate the accuracy of the fixed-point computations several cases for various loading conditions and word lengths are verified.
Keywords: Active Front End Rectifier , Fixed-Point Computations , Low-Cost Architecture , Predictive Control , Word Length
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Type of Study: Research Paper | Subject: Converters
Received: 2017/07/10 | Revised: 2018/03/26 | Accepted: 2017/12/16
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.