267 / 2021-11-07 23:13:04
Nonparametric sliding mode predictive control strategy for LC-filtered voltage source inverters
Model predictive control (MPC), LC filter, voltage control, cost function, robustness.
Final Paper
Leilei Guo / College of Electrical and Information Engineering, Zhengzhou University of Light Industry
Mingzhe Zheng / College of Electrical and Information Engineering; Zhengzhou University of Light Industry
Yanyan Li / College of Electrical and Information Engineering, Zhengzhou University of Light Industry
Yafei Chen / College of Electrical and Information Engineering, Zhengzhou University of Light Industry
The conventional model predictive control (MPC) of LC-filtered voltage source inverters (VSIs) is sensitive to parameter changes. To solve this issue, this paper presents a nonparametric sliding mode predictive control method based on sliding mode control theory for LC-filtered VSIs, which improves the prediction accuracy under the condition of parameter mismatches. The key point of the proposed method is to establish a novel sliding mode prediction cost function for capacitor voltage without using any model parameters. Compared with conventional capacitor voltage MPC, this method eliminates the current sensors, saves the hardware cost and improves the operation reliability of the system. The simulation results show that the control scheme has strong robust control performance under the condition of load variation and model parameter mismatch.

 
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST