Ahmeid, Mohamed, Armstrong, Matthew, Gadoue, Shady and Al-Greer, Maher (2018). Computationally Efficient Self-Tuning Controller for DC-DC Switch Mode Power Converters Based on Partial Update Kalman Filter. IEEE Transactions on Power Electronics, 33 (9), pp. 8081-8090.
Abstract
In this paper, a partial update Kalman Filter (PUKF) is presented for the real-time parameter estimation of a DC-DC switch-mode power converter (SMPC). The proposed estimation algorithm is based on a novel combination between the classical Kalman filter and an M-Max partial adaptive filtering technique. The proposed PUKF offers a significant reduction in computational effort compared to the conventional implementation of the Kalman Filter (KF), with 50% less arithmetic operations. Furthermore, the PUKF retains comparable overall performance to the classical KF. To demonstrate an efficient and cost effective explicit self-tuning controller, the proposed estimation algorithm (PUKF) is embedded with a Bányász/Keviczky PID controller to generate a new computationally light self-tuning controller. Experimental and simulation results clearly show the superior dynamic performance of the explicit self-tuning control system compared to a conventional pole placement design based on a pre-calculated average model.
Publication DOI: | https://doi.org/10.1109/TPEL.2017.2768618 |
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Divisions: | College of Engineering & Physical Sciences |
Additional Information: | © Copyright 2017 IEEE - All rights reserved. |
Uncontrolled Keywords: | System Identification,Switch Mode Power Converters,Digital Control,Parametric Estimation,Kalman Filter,Self-tuning Controller |
Publication ISSN: | 1941-0107 |
Last Modified: | 02 Oct 2024 07:19 |
Date Deposited: | 07 Nov 2017 14:35 |
Full Text Link: |
http://ieeexplo ... cument/8093696/ |
Related URLs: | PURE Output Type: | Article |
Published Date: | 2018-09 |
Published Online Date: | 2017-11-01 |
Accepted Date: | 2017-11-01 |
Authors: |
Ahmeid, Mohamed
Armstrong, Matthew Gadoue, Shady Al-Greer, Maher |