Low-complexity, high frequency parametric system identification method for switched-mode power converters
Sprache des Titels:
Proceedings of the IEEE Applied Power Electronics Conference and Exposition (APEC) 2017
Online system identification provides the possibility to track system changes and thus is the basis for successive adaption of control parameters. This paper introduces a concept for fast, efficient and accurate coefficient estimation of time-discrete transfer functions. The presented approach approximates least squares and, compared to well established algorithms, it drastically reduces the computational-complexity, while maintaining sufficient accuracy. In the experimental setup this technique has been applied to a dc-dc buck converter. For this application the proposed method is especially beneficial, since it significantly reduces the system excitation time compared to the state-of-the-art. This is achieved by using higher switching frequencies, while keeping the amount of used switching periods constant. Consequently, the proposed concept can be integrated into the start-up procedure of the converter module.