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Sliding Mode Output Regulation for a Boost Power Converter

Author

Listed:
  • Jorge Rivera

    (CONACYT–Advanced Studies and Research Center (CINVESTAV), National Polytechnic Institute (IPN), Guadalajara Campus, Zapopan 45015, Mexico)

  • Susana Ortega-Cisneros

    (Advanced Studies and Research Center (CINVESTAV), National Polytechnic Institute (IPN), Guadalajara Campus, Zapopan 45015, Mexico)

  • Florentino Chavira

    (Ceti Unidad Colomos, Calle Nueva Escocia 1885, Providencia 5a Sección, Guadalajara 44638, Mexico)

Abstract

This work deals with the novel application of the sliding mode (discontinuous) output regulation theory to a nonlinear electrical circuit, the so-called boost power converter. This theory has excelled due to the fact that trajectory tracking plays a central role. The control of a boost power converter for the output tracking of a DC biased sinusoidal signal is a challenging problem for control engineers. The main difficulties are the computation of a proper reference signal for the inductor current, and the stabilization of the inductor current dynamics or to guarantee the correct output tracking of the capacitor voltage. With the application of the discontinuous output regulation these problems are solved in this work. Simulations and real time experiments were carried out with an unknown variation of the DC input voltage, where the good output tracking of the capacitor voltage was verified along with the stabilization of the inductor current. The discontinuous output regulation theory has proven to be a suitable tool in the output tracking for the boost power converter.

Suggested Citation

  • Jorge Rivera & Susana Ortega-Cisneros & Florentino Chavira, 2019. "Sliding Mode Output Regulation for a Boost Power Converter," Energies, MDPI, vol. 12(5), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:879-:d:211596
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    References listed on IDEAS

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    1. Abdul Rehman Yasin & Muhammad Ashraf & Aamer Iqbal Bhatti, 2018. "Fixed Frequency Sliding Mode Control of Power Converters for Improved Dynamic Response in DC Micro-Grids," Energies, MDPI, vol. 11(10), pages 1-18, October.
    2. Xizheng Guo & Jiaqi Yuan & Yiguo Tang & Xiaojie You, 2018. "Hardware in the Loop Real-time Simulation for the Associated Discrete Circuit Modeling Optimization Method of Power Converters," Energies, MDPI, vol. 11(11), pages 1-14, November.
    3. Jaime Wladimir Zapata & Samir Kouro & Gonzalo Carrasco & Hugues Renaudineau, 2018. "Step-Up Partial Power DC-DC Converters for Two-Stage PV Systems with Interleaved Current Performance," Energies, MDPI, vol. 11(2), pages 1-11, February.
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    Cited by:

    1. Raymundo Cordero & Thyago Estrabis & Gabriel Gentil & Matheus Caramalac & Walter Suemitsu & João Onofre & Moacyr Brito & Juliano dos Santos, 2022. "Tracking and Rejection of Biased Sinusoidal Signals Using Generalized Predictive Controller," Energies, MDPI, vol. 15(15), pages 1-13, August.
    2. Efrain Mendez & Alexandro Ortiz & Pedro Ponce & Israel Macias & David Balderas & Arturo Molina, 2020. "Improved MPPT Algorithm for Photovoltaic Systems Based on the Earthquake Optimization Algorithm," Energies, MDPI, vol. 13(12), pages 1-24, June.

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