Reduced Order Modeling of Linearized Power Electronic Cricuit
Abstract
Most of the systems in our daily life consist of power electronic circuits. They are micro circuits which are difficult to be analyze because the circuit consists of nonlinear elements. This paper deals with one of the power electronic circuit, boost converter. The non-linear elements of the converter circuit are linearized. The obtained linearized converter circuit is a higher order model. Designing a controller for this higher order model is complex and simulation time also increases. So, efficient order reduction techniques have been used to reduce the system order. The models are simulated using MATLAB 13.0 simulink software. Simulation results show that hankel was a better method for order reduction depicting same characteristics for higher and lower order models.
Keywords
Full Text:
PDFReferences
A.Davoudi, J.Jatskevich and P L.Chapman, “Multi-Resolution Modeling of Power Electronics Circuits Using Model-Order Reduction Techniques”, IEEE Transactions on Circuits and systems, vol. 60, pp. 3, march 2013.
P. Pejovic and D. Maksimovic, “A method for fast time-domain simulation of networks with switches”, IEEE Transactions on Power Electronics, vol. 9, pp. 449-456, July 1994.
Yuki Sato and Hajime Igarashi, “Generation of Equivalent Circuit From Finite-Element Model Using Model Order Reduction” IEEE transactions on magnetics, vol. 52, no. 3, march 2016.
Fabricio Hoff Dupont, Cassiano Rech, Roger Gules and Jos´e Renes Pinheiro, “Reduced-Order Model and Control Approach for the Boost Converter With a Voltage Multiplier Cell”, IEEE transactions on power electronics, vol. 28, no. 7, july 2013.
Alper Demir, Alper T. Erdogan, “Emulation and Inversion of Polarization Mode Dispersion: A Lumped System and Pade Approximation Perspective”, Journal Of Lightwave Technology, Vol. 26, No. 17, September 1, 2008.
Yuri Dolgin and Ezra Zeheb, “ Routh–Pade Model Reduction of Interval Systems” , IEEE transactions on automatic control, vol. 48, no. 9, september 2003.
Vimal Singh, Dinesh Chandra, and Haranath Kar.” Improved Routh–Pade Approximants: A Computer-Aided Approach” IEEE transactions on automatic control, vol. 49, no. 2, february 2004.
Barton j. Bacon and Arthur e. Frazho, “A Hankel Matrix Approach to Stochastic Model Reduction”, IEEE transactions on automatic control, vol. Ac-30, no. 11. November 2013.
Y. Chen, J. White, “A Quadratic Method for Nonlinear Model Order Reduction” MIT MS thesis, September 2016
Ali Davoudi, Patrick L. Chapman, Juri Jatskevich, and Alireza Khaligh, “Reduced-Order Modeling of High-Fidelity Magnetic Equivalent Circuits” IEEE transactions on power electronics, vol. 24, no. 12, december 2009
Refbacks
- There are currently no refbacks.
Copyright (c) 2017 Innovative Engineering and Physical Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © 2017 Innovative Engineering and Physical Sciences.| All rights reserved.|
For any help/ technical support contact us at editorial@scitecresearch.com.