The Sampled-Data Modeling for Multiphase Constant On-Time Control-Phase Nonoverlapping

This paper investigates the application of the sampled-data modeling method for multiphase constant-on-time (COT) control with ramp compensation. Previous sampled-data models have only considered the case with zero slope compensation, revealing that the ratio of duty cycle perturbation to sensed current perturbation at the sampling instant-defined as the moment when the two input signals of the modulator intersect-remains constant. However, this paper found it invalid if non-zero slope compensation is introduced. Utilizing the principle of sampled-data modeling, this paper re-derives the modulator model and loop gain, then simplified expressions is obtained by further approximation. Finally, the accuracy of the proposed theoretical models is validated through experimental results.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/pedg62294.2025.11060271
Primary Topic
Fault Detection and Control Systems
Type
article
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The Sampled-Data Modeling for Multiphase Constant On-Time Control-Phase Nonoverlapping

Na Yan, Xin Li, Qidong Wang, ZhiDan Fang et al.
Fault Detection and Control Systems
article

The Sampled-Data Modeling for Multiphase Constant On-Time Control-Phase Nonoverlapping

Na Yan, Xin Li, Qidong Wang, ZhiDan Fang, Chang Song, Xiangan You
article en

Abstract

This paper investigates the application of the sampled-data modeling method for multiphase constant-on-time (COT) control with ramp compensation. Previous sampled-data models have only considered the case with zero slope compensation, revealing that the ratio of duty cycle perturbation to sensed current perturbation at the sampling instant-defined as the moment when the two input signals of the modulator intersect-remains constant. However, this paper found it invalid if non-zero slope compensation is introduced. Utilizing the principle of sampled-data modeling, this paper re-derives the modulator model and loop gain, then simplified expressions is obtained by further approximation. Finally, the accuracy of the proposed theoretical models is validated through experimental results.

Institute of Microelectronics (SG), Institute of Microelectronics (CN), Southeast University (CN)
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Fault Detection and Control Systems
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