Adaptive output feedback control of induction motors with unknown parameters

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Authors

  • Ta Minh Son Institute of Automation, Academy of Military Science and Technology
  • Nguyen Huu Thang (Corresponding Author) Institute of Automation, Academy of Military Science and Technology
  • Quach Xuan Nam Institute of Automation, Academy of Military Science and Technology
  • Trinh Duc Cuong Institute of Automation, Academy of Military Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.FMC.2026.191-200

Keywords:

Dynamic parameterization; Output control; Adaptive control; DREM; Induction motor.

Abstract

This paper considers an induction motor model controlled by stator currents in the presence of unknown resistance, inductance, and load torque. A parameter-linearized regression model is derived from the control-signal dynamics, enabling the application of the Dynamic Regressor Extension and Mixing (DREM) technique. Using measurements of the rotor angular velocity, an estimation algorithm for the unknown parameters and a rotor-flux observer are developed. The proposed dynamic control law stabilizes the motor at a constant reference speed and guarantees global stability of the closed-loop system.

References

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Published

16-09-2026

How to Cite

[1]
Ta Minh Son, Nguyen Huu Thang, Quach Xuan Nam, and Trinh Duc Cuong, “Adaptive output feedback control of induction motors with unknown parameters”, J. Mil. Sci. Technol., no. FMC, pp. 191–200, Sep. 2026.

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Section

Avionics and Flight Control