| Title |
Comparative Study on Data based and Model based ESR Estimation Techniques for DC/AC Converter |
| Authors |
박혜진(Hyejin Park) ; 곽상신(Sangshin Kwak) |
| DOI |
https://doi.org/10.5370/KIEE.2021.70.12.1862 |
| Keywords |
DC link electrolytic capacitor; DC/AC converter; equivalent series resistor (ESR); model based ESR estimation; data based estimation |
| Abstract |
In this paper, the performance of the input capacitor state estimation algorithm of the DC/AC single-phase converter implemented using the model-based method and the data-based method is compared. The state of the capacitor is estimated through two existing algorithms implemented as a model-based method and the data based algorithm implemented as a data-based method. By applying the capacitor voltage and capacitor current data collected through the experiment to three methods, the equivalent series resistor (ESR) component was derived. The two model-based methods used in this paper are the method of estimating the ESR component using a bandpass filter and the method of using the average power loss. The data-based method estimates ESR using a component twice the fundamental frequency and a component twice the switching frequency in the frequency domain as input to the neural network. Comparing the results, it was confirmed that in the case of the model-based method, the deviation of the error according to the ESR was very large. On the other hand, in the case of the data-based method, it was confirmed that the estimation was made more accurately using data of a large amount of information. Therefore, it was confirmed that the data-based method showed excellent estimation results in all fields |