Extended Kalman Filter Based State and Parameter Estimation Method for a Buck Converter Operating in a Wide Load Range

Date

2020-10-11

Author

Candan, Muhammed Yusuf
Ankaralı, Mustafa Mert

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

233
views

0
downloads

© 2020 IEEE.The vast majority of buck converter modeling and control studies rely on the assumption that load resistance operates near a nominal value. Accordingly, controller and estimator designs in literature are mainly centered around the assumed nominal load resistance. In this paper, we approach the problem from a different perspective. We propose an hybrid Extended Kalman Filter (EKF) based state, parameter (load resistance), and operation mode estimator for the buck converter topology. The proposed estimation procedure can operate in both Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM). Through extensive modeling and simulation studies, we show that the algorithm can predict the operation mode effectively and estimate the states and unknown load resistance accurately. We believe that our state and parameter estimation approach can guide the development of more robust and high-performance voltage control policies for the buck converter and other DC/DC converter topologies.

URI

https://hdl.handle.net/11511/69477

DOI

https://doi.org/10.1109/ecce44975.2020.9235695

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A Fast Decoupled State Estimator for Systems Measured by PMUs Göl, Murat (2015-09-01) Given the rapid increase in the number of phasor measurement units (PMU) installed in substations in recent years, it is not unrealistic to assume that most transmission systems will be fully observable by only PMU measurements in the not so distant future. Such a scenario will enable faster and numerically easier state estimation solution which will be non-iterative due to the linearity of the PMU measurement equations. However, as will be shown in this paper, the benefits do not end there and a closer loo...
A multiscale analytical correction technique for two-dimensional thermal models of AlGaN/GaN HEMTs Azarifar, Mohammad; Donmezer, Nazli (2017-07-01) Two-dimensional approaches are widely used in the numerical thermal models of AlGaN/GaN high electron mobility transistors (HEMTs) to reduce the high computational cost of the three-dimensional approaches. The aforementioned simplified models predict inaccurate device temperatures with significant overestimation of the thermal resistance. In order to take advantage of the computational efficiency of the two-dimensional models, a correction procedure is necessary for the accurate representation of the actual...
An Automated calibration set up for laser beam positioning systems in visual inspection applications Kiraz, Ercan; Dölen, Melik; Department of Mechanical Engineering (2013) In this study, a calibration setup for laser beam positioning systems used in visual inspection applications in industry is designed and manufactured. The laser positioning systems generate movable parallel laser lines on the projection surface. There are several translational and angular error sources affecting the positioning accuracy of the laser lines on the projection surface. Especially, since the laser line positioning error caused by angular error sources increases with the distance between the lase...
An Enhanced Adaptive Windowing Technique for Velocity and Acceleration Estimation using Incremental Position Encoders Kilic, Ergin; Baser, Ozgur; Dölen, Melik; Konukseven, Erhan İlhan (2010-09-10) In this paper, an enhanced velocity and acceleration estimation method is presented based on the discrete-time adaptive windowing technique that exclusively employs incremental optical position sensor readings. In a previous work proposed by [1], a first-order adaptive windowing method (FOAW) was shown to be optimal in the sense that it minimizes the velocity error variance while maximizing the accuracy of the estimates. Since the method lacks the ability of accurate acceleration estimation, a new model is ...
An accelerated BEM formulation for the forward problem solution of ESI using realistic head models Akalm, Z; Gençer, Nevzat Güneri (2003-09-21) In this study, the forward problem of electrical source imaging (ESI) is solved using the Boundary Element method (BEM) with realistic head models. The realistic model consists of scalp, skull, CSF, brain and eyes. To get more accurate results quadratic elements are used in the meshes-and a new method is proposed for the generation of the quadratic mesh. An accelerated method is proposed for the solution of the potential field.

Citation Formats

M. Y. Candan and M. M. Ankaralı, “Extended Kalman Filter Based State and Parameter Estimation Method for a Buck Converter Operating in a Wide Load Range,” 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69477.