IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0228636.html
   My bibliography  Save this article

Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations

Author

Listed:
  • Waqas Anjum
  • Abdul Rashid Husain
  • Junaidi Abdul Aziz
  • M Abbas Abbasi
  • Hasan Alqaraghuli

Abstract

For closed-loop controlled DC-AC inverter system, the performance is highly influenced by load variations and online current measurement. Any variation in the load will introduce unwanted periodic error at the inverter output voltage. In addition, when the current sensor is in faulty condition, the current measurement will be imprecise and the designed feedback control law will be ineffective. In this paper, a sensorless continuous sliding mode control (SMC) scheme has been proposed to address these issues. The chattering effect due to the discontinuous switching nature of SMC has been attenuated by designing a novel boundary-based saturation function where the selection of the thickness of boundary is dependent to the PWM signal generation of the inverter. In order to remove the dependency on the current sensor, a particle swarm optimization(PSO) based modified observer is proposed to estimate the inductor current in which the observer gains are optimized using PSO by reducing the estimation errors cost function. The proposed dynamic smooth SMC algorithm has been simulated in MATLAB Simulink environment for 0.2-kVA DC-AC inverter and the results exhibit rapid dynamic response with a steady-state error of 0.4V peak-to-peak voltage under linear and nonlinear load perturbations. The total harmonic distortion (THD) is also reduced to 0.20% and 1.14% for linear and non-linear loads, respectively.

Suggested Citation

  • Waqas Anjum & Abdul Rashid Husain & Junaidi Abdul Aziz & M Abbas Abbasi & Hasan Alqaraghuli, 2020. "Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-20, February.
  • Handle: RePEc:plo:pone00:0228636
    DOI: 10.1371/journal.pone.0228636
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228636
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0228636&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0228636?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Juntao Fei & Yunkai Zhu, 2017. "Adaptive fuzzy sliding control of single-phase PV grid-connected inverter," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    2. Yaozhen Han & Ronglin Ma & Jinghan Cui, 2018. "Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid," Energies, MDPI, vol. 11(6), pages 1-17, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ammar Armghan & Muhammad Kashif Azeem & Hammad Armghan & Ming Yang & Fayadh Alenezi & Mudasser Hassan, 2021. "Dynamical Operation Based Robust Nonlinear Control of DC Microgrid Considering Renewable Energy Integration," Energies, MDPI, vol. 14(13), pages 1-23, July.
    2. Tianyu Yang & Bin Wang & Peng Chen, 2020. "Design of a Finite-Time Terminal Sliding Mode Controller for a Nonlinear Hydro-Turbine Governing System," Energies, MDPI, vol. 13(3), pages 1-14, February.
    3. Fatemeh Ghalavand & Behzad Asle Mohammadi Alizade & Hossam Gaber & Hadis Karimipour, 2018. "Microgrid Islanding Detection Based on Mathematical Morphology," Energies, MDPI, vol. 11(10), pages 1-18, October.
    4. Quan-Quan Zhang & Rong-Jong Wai, 2021. "Robust Power Sharing and Voltage Stabilization Control Structure via Sliding-Mode Technique in Islanded Micro-Grid," Energies, MDPI, vol. 14(4), pages 1-27, February.
    5. Xiangwu Yan & Yang Cui & Sen Cui, 2019. "Control Method of Parallel Inverters with Self-Synchronizing Characteristics in Distributed Microgrid," Energies, MDPI, vol. 12(20), pages 1-20, October.
    6. Muhammad Yasir Ali Khan & Haoming Liu & Zhihao Yang & Xiaoling Yuan, 2020. "A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies," Energies, MDPI, vol. 13(16), pages 1-40, August.
    7. Yaozhen Han & Ronglin Ma, 2019. "Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage," Energies, MDPI, vol. 12(20), pages 1-18, October.
    8. Waqas Anjum & Abdul Rashid Husain & Junaidi Abdul Aziz & Syed Muhammad Fasih ur Rehman & Muhammad Paend Bakht & Hasan Alqaraghuli, 2022. "A Robust Dynamic Control Strategy for Standalone PV System under Variable Load and Environmental Conditions," Sustainability, MDPI, vol. 14(8), pages 1-27, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0228636. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.