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<p>This paper investigates a speed sensorless robust vector control (SSRVC) for induction motors (IMs) to guarantee the speed tracking. An adaptive type 3 phase-locked loop (PLL) is firstly designed to extract the synchronous electrical speed information from three-phase stator voltage measurements. Since the approximated synchronous speed is an unbiased estimation, the rotor rotating speed can be accordingly calculated. Furthermore, by utilizing the available stator three-phase current measurements, the rotor flux rotate angle with respect to stationary reference can be obtained. Considering the variations of resistances and load torque, a proportional integral (PI)-based SSRVC scheme is investigated for achieving the speed tracking. It is proved that the speed tracking error can be attenuated and limited within finite region. Finally, an experiment platform is introduced and the proposed SSRVC is validated. The experiment data shows that the desired speed tracking can be successfully achieved.</p>

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Speed tracking for induction motors by adaptive phase-locked loop and speed sensorless vector control

  • 期刊论文

  • 发表日期：

    2026年1月12日

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  • Yanliang Cui,
  • Juanjuan Ji

摘要

This paper investigates a speed sensorless robust vector control (SSRVC) for induction motors (IMs) to guarantee the speed tracking. An adaptive type 3 phase-locked loop (PLL) is firstly designed to extract the synchronous electrical speed information from three-phase stator voltage measurements. Since the approximated synchronous speed is an unbiased estimation, the rotor rotating speed can be accordingly calculated. Furthermore, by utilizing the available stator three-phase current measurements, the rotor flux rotate angle with respect to stationary reference can be obtained. Considering the variations of resistances and load torque, a proportional integral (PI)-based SSRVC scheme is investigated for achieving the speed tracking. It is proved that the speed tracking error can be attenuated and limited within finite region. Finally, an experiment platform is introduced and the proposed SSRVC is validated. The experiment data shows that the desired speed tracking can be successfully achieved.