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Adaptive sensorless control for interior permanent magnet synchronious motor based on sliding mode approach.

Enrique Alvaro-Mendoza1, Jesús De León-Morales2, Mohamed Assaad Hamida3

  • 1Facultad de ingenieria Mecanica y Electrica, Universidad Autónoma de Nuevo León, San Nicolas De Los Garza, 66451, Nuevo León, Mexico; Ecole Centrale de Nantes, LS2N UMR CNRS 6004, Nantes, France.

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Summary

This study introduces an adaptive sensorless control for Interior Permanent Magnet Synchronous Motors (IPMSMs). The novel approach enhances performance and simplifies tuning for efficient motor control.

Keywords:
Adaptive controlAdaptive observerIPMSMSensorless controlSliding mode

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Interior Permanent Magnet Synchronous Motors (IPMSMs) are widely used in various applications due to their efficiency and power density.
  • Sensorless control of IPMSMs is crucial for reducing cost, size, and improving reliability by eliminating mechanical sensors.
  • Existing sensorless control methods often face challenges in achieving high performance across a wide speed range and simplifying parameter tuning.

Purpose of the Study:

  • To propose a novel adaptive sensorless control strategy for IPMSMs based on sliding mode control.
  • To develop an adaptive observer for accurate estimation of angular position, speed, and acceleration without machine parameters.
  • To simplify controller implementation and reduce tuning time through a single parameterization of control and observer gains.

Main Methods:

  • The proposed strategy integrates a novel Adaptive Super-Twisting Controller (ASTWC) with a novel Adaptive Observer High-Order Sliding Mode (AOHOSM).
  • The AOHOSM utilizes an auxiliary system, independent of machine parameters, for robust state estimation across a wide speed range.
  • Lyapunov stability analysis is employed to guarantee the stability of the closed-loop control system.

Main Results:

  • The adaptive observer accurately estimates angular position, speed, and acceleration, enabling effective sensorless operation.
  • The ASTWC successfully tracks desired speed and direct-axis current references, demonstrating precise control.
  • Experimental validation confirms the effectiveness of the proposed strategy, showing superior or comparable performance to existing methods.

Conclusions:

  • The proposed adaptive sensorless control strategy offers a robust and efficient solution for IPMSM drives.
  • The simplified tuning and parameter-independent observer enhance practical implementation and applicability.
  • The method provides a valuable contribution to the field of advanced motor control, particularly for applications requiring high performance and reliability.