Application of Predictive Control for Synchronous Motors in Oil Field Automation

Authors

  • Wendi Chu
  • Xinlong Shui

DOI:

https://doi.org/10.6919/ICJE.202510_11(10).0008

Keywords:

Oil Field Automation; Synchronous Motor; Triple-Vector MPCC; Speed Control.

Abstract

For permanent magnet synchronous motor (PMSM) systems exhibiting strong coupling, parameter uncertainties, and dynamic load disturbances, this paper proposes a Model-Free Adaptive Control with Multi-Vector Predictive Current Control (MFAC-MPCC) framework, integrating Compact Form Dynamic Linearization MFAC (CFDL-MFAC) for the speed loop and triple-vector model predictive current control (MPCC) for the current loop. The hybrid architecture decouples adaptive speed regulation from high-precision current tracking, achieving robust performance without reliance on motor parameters. Key advantages include: (1) Model-free operation via CFDL-MFAC, dynamically linearizing the speed loop using only I/O data; (2) Enhanced disturbance rejection through real-time adaptive tuning; (3) Superior current tracking via triple-vector MPCC, minimizing steady-state errors and harmonic distortions. Simulation comparisons with traditional PI control and CFDL-MFAC approach validate the effectiveness and superiority of the proposed MFAC-MPCC scheme.

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References

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Published

2025-10-12

Issue

Section

Articles

How to Cite

Chu, W., & Shui, X. (2025). Application of Predictive Control for Synchronous Motors in Oil Field Automation. International Core Journal of Engineering, 11(10), 56-65. https://doi.org/10.6919/ICJE.202510_11(10).0008