Current sensorless model predictive control for LC-filtered voltage source inverters based on sliding mode observer
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Leilei Guo
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Chengwei Jiang
Abstract
In recent years, model predictive control (MPC) has gained significant traction within the realm of LC-filtered voltage source inverters (VSIs). In order to reduce the number of current sensors in conventional MPC, this paper proposes a MPC scheme without current sensors for LC-filtered VSIs. Firstly, this paper analyzes the mathematical model of LC-filtered VSIs and specifies the predictive control strategy based on capacitive current. On the basis of considering only the fundamental wave components of the capacitance current, this paper establishes a new sliding mode observer to observe the capacitance current. In order to ensure the stability of the system, the stability of the proposed sliding mode observer is analyzed using Lyapunov stability criterion, and the influence of the sliding mode gain on the current and voltage observations is also analyzed according to the closed-loop transfer function, giving the design method of the sliding mode gain. In addition, the parameter sensitivities of the newly proposed method and the conventional method are analyzed in detail in this paper. The results show that the method proposed in this paper does not depend on the filter inductance and the observed capacitance current have smaller errors and stronger parameter robustness than the conventional method. The comparative experimental study verifies the feasibility of the control scheme proposed in this paper.
Funding source: Scientific and Technological Project in Henan Province
Award Identifier / Grant number: 212102210021, 232102241026
Funding source: Youth Talent Support Project of Henan Province
Award Identifier / Grant number: 2019HYTP021
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Research ethics: The local Institutional Review Board deemed the study exempt from review.
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Author contributions: A new sliding mode observer is developed, which reduces the number of current sensors and increases the quality of output power. The author have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The author state no conflict of interest.
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Research funding: This work was supported in part by the Scientific and Technological Project in Henan Province (212102210021, 232102241026), in part by the Youth Talent Support Project of Henan Province (2019HYTP021).
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Data availability: The raw data can be obtained on request from the corresponding author.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Research Articles
- A seven level fault tolerant hybrid cascaded inverter for renewable energy applications
- Optimal layout scheme design of distribution network micro PMU based on information entropy theory
- Current sensorless model predictive control for LC-filtered voltage source inverters based on sliding mode observer
- BCLM: a novel chaotic map for designing cryptography-based security mechanism for IEEE C37.118.2 PMU communication in smart grid
- Design and control of utility grid-tied bipolar DC microgrid
- Network dynamics in hybrid microgrid and its implications on stability analysis
- Electrical modelling, design, and implementation of a hardware PEM electrolyzer emulator for smart grid testing
- A hybrid search space reduction algorithm and Newton–Raphson based selective harmonic elimination for an asymmetric cascade H-bridge multi-level inverter
- Dynamic load prediction of charging piles for energy storage electric vehicles based on Space-time constraints in the internet of things environment
- Power coordination control method for AC/DC hybrid microgrid considering demand response
- Performance analysis and effective modeling of a solar photovoltaic module based on field tests
- Unleashing the economic potential of wind power for ancillary services
