An EM-based identification algorithm for a class of hybrid systems with application to power electronics

作者：Aguilera R P^*; Godoy B I; Agueero J C; Goodwin G C; Yuz J I

来源：International Journal of Control, 2014, 87(7): 1339-1351.

DOI：10.1080/00207179.2013.876668

• power conversion
• maximum likelihood
• system identification

In this paper we present an identification algorithm for a class of continuous-time hybrid systems. In such systems, both continuous-time and discrete-time dynamics are involved. We apply the expectation-maximisation algorithm to obtain the maximum likelihood estimate of the parameters of a discrete-time model expressed in incremental form. The main advantage of this approach is that the continuous-time parameters can directly be recovered. The technique is particularly well suited to fast-sampling rates. As an application, we focus on a standard identification problem in power electronics. In this field, our proposed algorithm is of importance since accurate modelling of power converters is required in high- performance applications and for fault diagnosis. As an illustrative example, and to verify the performance of our proposed algorithm, we apply our results to a flying capacitor multicell converter.

• 出版日期2014-7-3