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Small Signal Modeling, Control and Experimentation of Boost Converter Including Parasitic Elements

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Abstract

This paper presents an improved state space average model of a boost DC–DC converter considering all the parasitic elements present in the circuit. The small signal transfer function derived from the modified averaged model is used to design an improved voltage and current mode cascaded control (CMC) using linear quadratic regulator. Major improvements in the proposed CMC technique include improved performance (overshoot, undershoot and settling time for both voltage and current) compared to the conventional controllers and the protection system for limiting overcurrent flow through the circuit. The performance of the proposed controller is evaluated by experimental results. The proposed controller performance is compared with voltage mode as well as CMC-based PI controllers. The experimental results show that the proposed controller improves the ability to track the instantaneous change in reference voltage, maintain stable output voltage during load change and show robustness against converter component value change and exceeding the maximum current limit.

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Acknowledgements

The authors would like to pay gratitude to The University of Alabama for supporting with lab and library facilities. In addition, the authors would like to express their appreciation to The Graduate School and Department of ECE of the University of Alabama and to those colleagues who have directly or indirectly contributed to the completion of this work.

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Authors and Affiliations

  1. Department of ECE, The University of Alabama, Tuscaloosa, AL, 35487, USA

    Himadry Shekhar Das, Shuhui Li & Weizhen Dong

  2. School of Electrical Engineering, Zhengzhou University, Zhengzhou, China

    Zhongwen Li

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  1. Himadry Shekhar Das
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Correspondence to Himadry Shekhar Das.

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Das, H.S., Li, Z., Li, S. et al. Small Signal Modeling, Control and Experimentation of Boost Converter Including Parasitic Elements. J Control Autom Electr Syst 32, 956–967 (2021). https://doi.org/10.1007/s40313-021-00735-8

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