Computationally efficient multistep model predictive control in cascaded H-bridge multilevel converter fed induction motor

Authors

  • Bao Binh Pho Khoa Tự động hóa, Trường Điện-Điện tử, Đại học Bách Khoa Hà Nội
  • Duc Tho Le Hanoi University of Science and Technology
  • Quang Tien Dang Hanoi University of Science and Technology
  • Trong Minh Tran Hanoi University of Science and Technology
  • Hoang Phuong Vu Hanoi University of Science and Technology

Keywords:

Model predictive control, Induction motor, Field oriented control, Sphere decoding algorithm

Abstract

 In model predictive control (MPC) strategies for power electronics applications, extending the prediction horizon length has yielded significant benefits. Previous studies have approached the adoption of multistep predictive control (Multistep MPC) for cascaded H-bridge inverters. This method is used very effectively with applications that the prediction horizon is determined. However, when the number of prediction
steps is large, the calculation time will increase significantly. That seems to be the biggest disadvantage when applying the MPC control method. Therefore, this paper proposes an alternative new algorithm that improves the computational time of the predictive control algorithm. This algorithm helps to find control signals faster by parallel search strategy instead of sequential one as in traditional methods. The simulation results demonstrate the calculation speed is significantly faster, the control quality of the two methods is the same, and especially work well for large number of prediction steps applications that the conventional algorithm could not perform.

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Published

2022-11-22

How to Cite

Pho, B. B., Le, D. T., Dang, Q. T., Tran, T. M., & Vu, H. P. (2022). Computationally efficient multistep model predictive control in cascaded H-bridge multilevel converter fed induction motor. Measurement, Control, and Automation, 3(2), 9-18. Retrieved from https://mca-journal.org/index.php/mca/article/view/103