MTPA Based Arbitrary Double Vectors Model Predictive Thrust Control Without Weighting Factor for Linear Induction Machine
ID:416 View Protection:PUBLIC Updated Time:2021-06-28 09:07:53 Hits:1658 Poster Presentation

Start Time:Pending(Asia/Shanghai)

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Abstract
In this paper, an MTPA based model predictive thrust control is proposed to eliminate the weighting factor and improve steady-state performance for the linear induction machine (LIM) drive system. The concept of field oriented control is used to derive the condition of MTPA in d-q reference frame. Based on the principle of MTPA and the inherent relationship between thrust and flux, a reference primary flux is introduced as the only criterion in cost function to achieve the control goal without using any weighting factor. Furthermore, to reduce the high flux and thrust ripples caused by single vector, arbitrary double vectors are selected and applied in the control period. Simulation results have demonstrated that the proposed method has smaller flux and thrust ripples and less weighting factor tuning workload than those of the conventional methods.
Keywords
Linear induction machine (LIM), model predictive thrust control (MPTC), maximum thrust per ampere (MTPA), weighting factor
Speaker
Yirong Tang
Huazhong University of Science and Technology

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Important Date
  • Conference Date

    Jul 01

    2021

    to

    Jul 04

    2021

  • Jul 03 2021

    Contribution Submission Deadline

  • Nov 03 2021

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
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