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Linear Superposition Compensation Strategy to Optimize Transient Response for Critical Conduction Mode Boost Converter
Author(s) -
Dian Lyu,
Qi-Dong Li,
John A. Stankovic,
Linkai Li,
Run Min,
Qiaoling Tong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012162
Subject(s) - compensation (psychology) , superposition principle , control theory (sociology) , transient (computer programming) , transient response , computer science , compensation methods , divergence (linguistics) , process (computing) , engineering , mathematics , control (management) , electrical engineering , artificial intelligence , psychology , mathematical analysis , linguistics , philosophy , digital marketing , world wide web , psychoanalysis , return on marketing investment , operating system
For boost converter operating in the Critical Conduction Mode (CRM), linear compensation strategy is widely used to improve the control performance. However, conventional linear compensation is designed for limited input, since transfer functions for different input are often incompatible. In this paper, transient responses with respect to input/reference voltage and load variations are optimized simultaneously by a linear superposition compensation strategy. The objective closed-loop transfer functions for each kind of variations are investigated, which contribute to the overall compensation loop design. According to linear superposition principle, the compensation results are summed as reference current, based on which the switching on/off time is modulated. Although the summed results are convergence, separate compensation loop that includes integral terms can lead to divergence in calculation process. To eliminate the potential divergence, the overall compensation loop is re-designed so as to suit digital implementation. Experimental results show that the linear superposition compensation strategy achieves great transient performance to different kind of variations.

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