Research Article | | Peer-Reviewed

Novel Control Approach for DC/DC Boost Converter Using Fuzzy Full State Feedback

Received: 26 December 2023    Accepted: 6 January 2024    Published: 18 January 2024
Views:       Downloads:
Abstract

This paper presents a novel control strategy for output tracking in a DC/DC step-up converter, elevating the standard of precision and performance metrics. Beyond achieving commendable results, such as low Root Mean Square Error and rapid settling times, our novel approach ensures a seamless absence of overshoot, marking a significant advancement in both static and dynamic performance. A meticulous theoretical exploration forms the foundation of our proposed control methodology. Notably, our strategy excels through the integration of three pivotal factors: (i) a sophisticated small-signal model designed to operate seamlessly within the broad spectrum of the converter's operational range, (ii) the deployment of full-state feedback control, and (iii) the innovative incorporation of the Takagi-Sugeno fuzzy approach. Building upon a comprehensive understanding of the boost converter's topology, operational principles, and theoretical modeling, this paper delves into the intricacies of our suggested output control technique. The utilization of full-state feedback control and the Takagi-Sugeno fuzzy approach further reinforce the strategy's robustness, adaptability, and stability across diverse operating conditions. Simulations conducted in the Matlab/Simulink environment showcase the remarkable capabilities of our proposed control system, the precise reference tracking, resilience against input fluctuations and load disturbances, and unwavering compliance with performance requirements, our approach solidifies its status as a pioneering solution throughout the entire operational range of the system. In summary, our research not only introduces a state-of-the-art control approach but also underscores its effectiveness in achieving good static and dynamic performance metrics, thus contributing significantly to the advancement of DC/DC converter design.

Published in Journal of Electrical and Electronic Engineering (Volume 12, Issue 1)
DOI 10.11648/j.jeee.20241201.11
Page(s) 1-11
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

DC/DC Boost Converter, Full State Feedback Control, Takagi-Sugeno Fuzzy, Small Signal Modeling

References
[1] M. Forouzesh, Y. P. Siwakoti, S. A. Gorji, F. Blaabjerg, and B. Lehman (2017). Step-up DC-DC converters: a comprehensive review of voltage-boosting techniques, topologies, and applications. IEEE Transactions on Power Electronics, vol. 32, no. 12, pp. 9143–9178.
[2] C. B. Ali, A. H. Khan, K. Pervez, T. M. Awan, A. Noorwali, and S. A. Shah (2021). High Efficiency High Gain DC-DC Boost Converter Using PID Controller for Photovoltaic Applications. 2021 International Congress of Advanced Technology and Engineering (ICOTEN). doi: 10.1109/icoten52080.2021.949.
[3] A. T. Mohamed, M. F. Mahmoud, R. A. Swief, L. A. Said, A. G. Radwan, (2021). Optimal fractional-order PI with DC-DC converter and PV system. Ain Shams Engineering Journal, 12(2), 1895–1906. doi: 10.1016/j.asej.2021.01.005.
[4] I. H. Kim and Y. I. Son (2015). Robust cascade control of DC/DC boost converter against input variation and parameter uncertainties. Proc. American Control Conf., Chicago, IL, USA, Jul. 1-3, pp. 2567–2572.
[5] I. H. Kim and Y. I. Son (2017). Regulation of a DC/DC Boost Converter Under Parametric Uncertainty and Input Voltage Variation Using Nested Reduced-Order PI Observers. IEEE Transactions on Industrial Electronics, 64(1), 552–562. doi: 10.1109/tie.2016.2606586.
[6] C. S. Sachin, S. G. Nayak, (2017). Design and simulation for sliding mode control in DC-DC boost converter. 2017 2nd International Conference on Communication and Electronics Systems (ICCES). doi: 10.1109/cesys.2017.8321317.
[7] M. F. Elmorshedy, S. Selvam, S. B. Mahajan, D. Almakhles (2023). Investigation of high-gain two-tier converter with PI and super-twisting sliding mode control. ISA Transactions, Vol. 138, pp. 628-638.
[8] R. Saadi, O. Kraa, M. Y. Ayad, M. Becherif, H. Ghodbane, M. Bahri, A. Aboubou (2016). Dual loop controllers using PI, sliding mode and flatness controls applied to low voltage converters for fuel cell applications. International Journal of Hydrogen Energy, 41(42), 19154–19163. doi: 10.1016/j.ijhydene.2016.08.171.
[9] Phattanasak, M., Gavagsaz-Ghoachani, R., Martin, J.-P., Pierfederici, S., Nahid-Mobarakeh, B., Riedinger, P. (2016). Lyapunov-based control and observer of a boost converter with LC input filter and stability analysis. 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). doi: 10.1109/esars-itec.2016.7841388.
[10] Boutebba, O., Semcheddine, S., Krim, F., & Talbi, B. (2019). Design of a Backstepping-Controlled Boost Converter for MPPT in PV Chains. 2019 International Conference on Advanced Electrical Engineering (ICAEE). doi: 10.1109/icaee47123.2019.9014748.
[11] Andres-Martinez, O., Flores-Tlacuahuac, A., Ruiz-Martinez, O. F., & Mayo-Maldonado, J. C. (2020). Nonlinear Model Predictive Stabilization of DC-DC Boost Converters with Constant Power Loads. IEEE Journal of Emerging and Selected Topics in Power Electronics, 1–1. doi: 10.1109/jestpe.2020.2964674.
[12] Fermeiro, J. B. L., Pombo, J. A. N., Calado, M. R. A., & Mariano, S. J. P. S. (2017). A new controller for DC-DC converters based on particle swarm optimization. Applied Soft Computing, 52, 418–434. doi: 10.1016/j.asoc.2016.10.025.
[13] Guo, L., Hung, J. Y., Nelms, R. M. (2012). Design of a fuzzy controller using variable structure approach for application to DC–DC converters. Electric Power Systems Research, 83(1), 104–109. doi: 10.1016/j.epsr.2011.09.005.
[14] Ganeswari, J. A., Kiranmayi, R. (2018). Performance improvement for DC boost converter with fuzzy controller. 2018 2nd International Conference on Inventive Systems and Control (ICISC). doi: 10.1109/icisc.2018.8399094.
[15] G. Ramesh, V. Ranjith Babu (2022). Comparative Study of PI and Fuzzy Control Strategies to A Novel Buck-Boost Converter. 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT). 10.1109/ICEEICT53079.2022.9768625.
[16] El Beid, S., Doubabi, S. (2014). DSP-Based Implementation of Fuzzy Output Tracking Control for a Boost Converter. IEEE Transactions on Industrial Electronics, 61(1), 196–209. doi: 10.1109/tie.2013.2242413.
[17] Doubabi, H., Salhi, I. (2021). Design and dSPACE Implementation of a Simplified Fuzzy Control of a DC-DC Three-Level Converter. Journal of Electrical and Computer Engineering, Vol. 2021, Article ID 5593572. https://doi.org/10.1155/2021/5593572
[18] Abdenouri, N., Zoukit, A., Salhi, I., Doubabi, S. (2022). Model identification and fuzzy control of the temperature inside an active hybrid solar indirect dryer. Solar energy, Vol. 231, 328-342. https://doi.org/10.1016/j.solener.2021.11.026.
[19] Ardhenta, L., Subroto, R. K. (2020). Feedback Control for Buck Converter - DC Motor Using Observer. 2020 12th International Conference on Electrical Engineering (ICEENG). doi: 10.1109/iceeng45378.2020.9171693.
[20] Olm, J. M., Fossas, E., Repecho, V., Doria-Cerezo, A., Grino, R. (2019). Feedback linearizing control of a magnetically coupled multiport dc-dc converter for automotive applications. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. doi: 10.1109/iecon.2019.8927831.
[21] P. Achikkulath, H. Shareef, R. Errouissi, A. Madathodika (2022). Feedback Linearizing Speed Control Strategy for Electric Vehicle Traction Motor drives. 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA). doi: 10.1109/ICECTA57148.2022.9990368.
[22] Rodriguez-Cabero, A., Prodanovic, M. none, Roldan, J. (2018). Full-State Feedback Control of Back-to-Back Converters Based on Differential and Common Power Concepts. IEEE Transactions on Industrial Electronics, 1–1. doi: 10.1109/tie.2018.2873518.
[23] I. Salhi, S. Doubabi, N. Essounbouli, A. Hamzaoui (2010). Application of multi-model control with fuzzy switching to a micro hydro-electrical power plant. Renewable Energy, Vol. 32, no. 12, pp. 9143–9178. doi: 10.1016/j.renene.2010.02.008.
[24] Hernández-Guzmán, V. M., Silva-Ortigoza, R. (2019). Book: Automatic Control with Experiments. Springer, Cham.
[25] Keviczky L. and al. Control engineering, Advanced Textbooks in Control and Signal Processing, Springer, 2019. https://doi.org/10.1007/978-981-10-8297-9
[26] Wong, L. K., Leung, F. H. F., Tam, P. K. S. (2001). A fuzzy sliding controller for nonlinear systems. IEEE Transactions on Industrial Electronics, 48(1), 32–37. doi: 10.1109/41.904545.
[27] Wong, L. K., Leung, F. H. F., Tam, P. K. S. (1998). Lyapunov-function-based design of fuzzy logic controllers and its application on combining controllers. IEEE Transactions on Industrial Electronics, 45(3), 502–509. doi: 10.1109/41.679009.
Cite This Article
  • APA Style

    Doubabi, H., Adnani, M. E. (2024). Novel Control Approach for DC/DC Boost Converter Using Fuzzy Full State Feedback. Journal of Electrical and Electronic Engineering, 12(1), 1-11. https://doi.org/10.11648/j.jeee.20241201.11

    Copy | Download

    ACS Style

    Doubabi, H.; Adnani, M. E. Novel Control Approach for DC/DC Boost Converter Using Fuzzy Full State Feedback. J. Electr. Electron. Eng. 2024, 12(1), 1-11. doi: 10.11648/j.jeee.20241201.11

    Copy | Download

    AMA Style

    Doubabi H, Adnani ME. Novel Control Approach for DC/DC Boost Converter Using Fuzzy Full State Feedback. J Electr Electron Eng. 2024;12(1):1-11. doi: 10.11648/j.jeee.20241201.11

    Copy | Download

  • @article{10.11648/j.jeee.20241201.11,
      author = {Hajar Doubabi and Mustapha El Adnani},
      title = {Novel Control Approach for DC/DC Boost Converter Using Fuzzy Full State Feedback},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {12},
      number = {1},
      pages = {1-11},
      doi = {10.11648/j.jeee.20241201.11},
      url = {https://doi.org/10.11648/j.jeee.20241201.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20241201.11},
      abstract = {This paper presents a novel control strategy for output tracking in a DC/DC step-up converter, elevating the standard of precision and performance metrics. Beyond achieving commendable results, such as low Root Mean Square Error and rapid settling times, our novel approach ensures a seamless absence of overshoot, marking a significant advancement in both static and dynamic performance. A meticulous theoretical exploration forms the foundation of our proposed control methodology. Notably, our strategy excels through the integration of three pivotal factors: (i) a sophisticated small-signal model designed to operate seamlessly within the broad spectrum of the converter's operational range, (ii) the deployment of full-state feedback control, and (iii) the innovative incorporation of the Takagi-Sugeno fuzzy approach. Building upon a comprehensive understanding of the boost converter's topology, operational principles, and theoretical modeling, this paper delves into the intricacies of our suggested output control technique. The utilization of full-state feedback control and the Takagi-Sugeno fuzzy approach further reinforce the strategy's robustness, adaptability, and stability across diverse operating conditions. Simulations conducted in the Matlab/Simulink environment showcase the remarkable capabilities of our proposed control system, the precise reference tracking, resilience against input fluctuations and load disturbances, and unwavering compliance with performance requirements, our approach solidifies its status as a pioneering solution throughout the entire operational range of the system. In summary, our research not only introduces a state-of-the-art control approach but also underscores its effectiveness in achieving good static and dynamic performance metrics, thus contributing significantly to the advancement of DC/DC converter design.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Novel Control Approach for DC/DC Boost Converter Using Fuzzy Full State Feedback
    AU  - Hajar Doubabi
    AU  - Mustapha El Adnani
    Y1  - 2024/01/18
    PY  - 2024
    N1  - https://doi.org/10.11648/j.jeee.20241201.11
    DO  - 10.11648/j.jeee.20241201.11
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 1
    EP  - 11
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20241201.11
    AB  - This paper presents a novel control strategy for output tracking in a DC/DC step-up converter, elevating the standard of precision and performance metrics. Beyond achieving commendable results, such as low Root Mean Square Error and rapid settling times, our novel approach ensures a seamless absence of overshoot, marking a significant advancement in both static and dynamic performance. A meticulous theoretical exploration forms the foundation of our proposed control methodology. Notably, our strategy excels through the integration of three pivotal factors: (i) a sophisticated small-signal model designed to operate seamlessly within the broad spectrum of the converter's operational range, (ii) the deployment of full-state feedback control, and (iii) the innovative incorporation of the Takagi-Sugeno fuzzy approach. Building upon a comprehensive understanding of the boost converter's topology, operational principles, and theoretical modeling, this paper delves into the intricacies of our suggested output control technique. The utilization of full-state feedback control and the Takagi-Sugeno fuzzy approach further reinforce the strategy's robustness, adaptability, and stability across diverse operating conditions. Simulations conducted in the Matlab/Simulink environment showcase the remarkable capabilities of our proposed control system, the precise reference tracking, resilience against input fluctuations and load disturbances, and unwavering compliance with performance requirements, our approach solidifies its status as a pioneering solution throughout the entire operational range of the system. In summary, our research not only introduces a state-of-the-art control approach but also underscores its effectiveness in achieving good static and dynamic performance metrics, thus contributing significantly to the advancement of DC/DC converter design.
    
    VL  - 12
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • School of Engineering and Innovation, Private University of Marrakesh (UPM), Marrakesh, Morocco

  • School of Engineering and Innovation, Private University of Marrakesh (UPM), Marrakesh, Morocco

  • Sections