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Adaptive nonsingular terminal sliding mode controller for PMSM drive system using modified extended state observer.

Ying Shi1, Keqi Mei2

  • 1School of Electronic and Optical Engineering, Nanjing University of Science and Technology Zijin College, Nanjing 210023, China.

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PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive nonsingular terminal sliding mode (ANTSM) controller and modified extended state observer (MESO) to improve permanent magnet synchronous motor (PMSM) system performance against disturbances. The new method enhances anti-interference capabilities by automatically tuning control gain and rapidly estimating disturbances.

Keywords:
PMSMadaptive lawcomposite controldisturbance observerterminal sliding mode

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Permanent magnet synchronous motor (PMSM) systems face challenges with time-varying disturbances and unknown upper bounds.
  • Traditional nonsingular terminal sliding mode (NTSM) controllers often require large gains, leading to suboptimal performance.

Purpose of the Study:

  • To develop a novel adaptive nonsingular terminal sliding mode (ANTSM) control framework.
  • To enhance the anti-interference performance of PMSM systems.
  • To address limitations of traditional NTSM controllers in handling unknown disturbances.

Main Methods:

  • A novel adaptive nonsingular terminal sliding mode (ANTSM) control framework was designed.
  • A modified extended state observer (MESO) was integrated to estimate unknown total disturbances.
  • Finite-time techniques were applied for rapid convergence of estimation errors.
  • The MESO's estimation was incorporated into the ANTSM control input.

Main Results:

  • The proposed ANTSM control technique automatically tunes control gain, avoiding overestimation.
  • The MESO demonstrates a faster estimation speed compared to traditional extended state observers (ESO).
  • The composite ANTSM + MESO control algorithm significantly enhances anti-interference performance.
  • Experimental results validate the effectiveness of the proposed control strategy.

Conclusions:

  • The ANTSM control combined with MESO offers a superior solution for PMSM systems facing disturbances.
  • The adaptive gain tuning and rapid disturbance estimation improve overall system control.
  • This approach provides a robust and efficient method for enhancing PMSM system performance.