Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Novel integrated coupled inductor boost with RL parallel damping network for improving dynamic response

  • He Liu (School of Intelligent Manufacturing and Equipment, Shenzhen Institute of Information Technology) ;
  • Lu Qu (School of Intelligent Manufacturing and Equipment, Shenzhen Institute of Information Technology) ;
  • Qiang Tong (School of Intelligent Manufacturing and Equipment, Shenzhen Institute of Information Technology)
  • Received : 2022.11.01
  • Accepted : 2023.06.14
  • Published : 2023.11.20
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Abstract

Boost derived converters are widely employed due to their simplicity and high reliability when it comes to obtaining a higher voltage level. However, the existence of right half-plane (RHP) zeros in the control-to-output transfer function deteriorates the dynamic performance of this category converters. Integrated coupling between the power inductor and the filter inductor is an effective method to alleviate the influence of RHP zeros. This paper puts forward a novel coupled inductor boost with an RL parallel damping (CIB-RLPD) network, where the input inductor, output inductor, and auxiliary inductor used to achieve RHP elimination have been integrated into a single magnetic core. The operating principle and small-signal analysis of the novel converter in continuous conduction mode (CCM) is discussed in detail. By an optimal design of the parameters of the damping network according to the Routh-Hurwitz Criterion, a novel converter with a good dynamic performance within a wide input voltage range can be achieved, which is a good candidate for renewable applications, particularly for spacecraft power systems. For the sake of comparison, the allowable operation duty ratio range and frequency response of the transfer function for both the original coupled inductor boost (CIB) and the proposed CIB-RLPD are presented in this paper. Finally, prototypes of the CIB and CIB-RLPD are implemented in the laboratory and experimental verifications are given to demonstrate the effectiveness of theoretical predictions.

Keywords

Acknowledgement

This work is supported by the Guangdong Regional Joint Fund-Youth Fund Project Fund No.: 2020A1515111136. Guangdong Innovation Project of Colleges No.: 2022KTSCX312. Doctoral Research Start-Up Project of SZIIT No.: SZIIT2022KJ068.

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