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A Novel CCS-MPC Algorithm for SPMSM Position Control with Innovative Constraint Processing Strategy.

Lingbo Kong1,2,3, Jianli Wang1,2, Xinyu Dong3

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130000, China.

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Summary
This summary is machine-generated.

A new continuous control set model predictive control (NCCS-MPC) strategy enhances surface-mounted permanent magnet synchronous motor (SPMSM) position control. This method improves steady-state performance and resolves constraint conflicts for better system operation.

Keywords:
model predictive position control (MPPC)reference trajectory planningsurface-mounted PMSM (SPMSM)

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Surface-mounted permanent magnet synchronous motors (SPMSMs) are crucial in modern automation.
  • Precise position control is essential for SPMSM applications.
  • Existing model predictive control (MPC) strategies face challenges with steady-state performance and constraint handling.

Purpose of the Study:

  • To develop a novel continuous control set model predictive control (NCCS-MPC) strategy for SPMSM position control.
  • To improve the steady-state performance of SPMSM position control.
  • To address and resolve constraint conflicts in predictive control systems.

Main Methods:

  • Development of an improved multi-step model predictive position control (IMS-MPPC) algorithm.
  • Reformulation of the predictive model within the MPC framework.
  • Implementation of an innovative constraint processing strategy (ICPS) considering speed, current, and voltage constraints.
  • Compensation for one-step computational delay within the NCCS-MPC framework.

Main Results:

  • The proposed NCCS-MPC strategy guarantees steady-state performance.
  • The ICPS effectively handles speed, current, and voltage constraints, preventing conflicts.
  • Comparative simulations and experimental results validate the effectiveness of the NCCS-MPC strategy.

Conclusions:

  • The NCCS-MPC strategy offers a significant advancement in SPMSM position control.
  • The integration of IMS-MPPC and ICPS provides robust and accurate control.
  • The developed strategy overcomes limitations of conventional MPC approaches for SPMSM applications.