Premium
Cascaded model‐free predictive control for single‐phase boost power factor correction converters
Author(s) -
Gu Jiayuan,
Li Hongmei,
Zhang Hengguo,
Pan Chen,
Luan Zhiyuan
Publication year - 2021
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5526
Subject(s) - control theory (sociology) , converters , robustness (evolution) , power factor , model predictive control , computer science , power (physics) , engineering , control (management) , physics , biochemistry , chemistry , quantum mechanics , artificial intelligence , gene
Conventionally, the dual‐loop PI controllers are designed for the single‐phase boost power factor correction (PFC) converters operating under continuous conduction mode (CCM), which is not available to perform rapid adaptations to plant uncertainties caused by the different operation modes and the parameter variations. In order to improve the control performance and robustness, a cascaded model‐free predictive control (MFPC) scheme is proposed based on the unified ultra‐local model under CCM and discontinuous conduction mode (DCM) for the single‐phase boost power factor correctors. Different from the traditional sluggish PI controllers, the proposed control law is adaptive to the operation mode and sudden variations with the algebraic identification technique, thus providing high‐quality line current and fast dynamic characteristic for the full power operating range. Comparative simulations and experiments with PI control scheme are provided to certificate the effectiveness of the proposed control scheme.