• Title/Summary/Keyword: MRAS-estimator

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MRAS Speed Estimator Based on Type-1 and Type-2 Fuzzy Logic Controller for the Speed Sensorless DTFC-SVPWM of an Induction Motor Drive

  • Ramesh, Tejavathu;Panda, Anup Kumar;Kumar, S. Shiva
    • Journal of Power Electronics
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    • v.15 no.3
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    • pp.730-740
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    • 2015
  • This paper presents model reference adaptive system speed estimators based on Type-1 and Type-2 fuzzy logic controllers for the speed sensorless direct torque and flux control of an induction motor drive (IMD) using space vector pulse width modulation. A Type-1 fuzzy logic controller (T1FLC) based adaptation mechanism scheme is initially presented to achieve high performance sensorless drive in both transient as well as in steady-state conditions. However, the Type-1 fuzzy sets are certain and cannot work effectively when a higher degree of uncertainties occurs in the system, which can be caused by sudden changes in speed or different load disturbances and, process noise. Therefore, a new Type-2 FLC (T2FLC) - based adaptation mechanism scheme is proposed to better handle the higher degree of uncertainties, improve the performance, and is also robust to different load torque and sudden changes in speed conditions. The detailed performance of different adaptation mechanism schemes are performed in a MATLAB/Simulink environment with a speed sensor and sensorless modes of operation when an IMD is operates under different operating conditions, such as no-load, load, and sudden changes in speed. To validate the different control approaches, the system is also implemented on a real-time system, and adequate results are reported for its validation.

The Control Method of In-Wheel PMSM for Electric Scooter using Speed Observer (속도 관측기를 이용한 전기스쿠터용 IN-WHEEL 영구자석 동기 전동기의 제어 방법)

  • Son, Tae-Sik;Lee, Yong-Kyun;Kim, Hag-Wone;Cho, Kwan-Yuhl;Mok, Hyung-Soo
    • The Transactions of the Korean Institute of Power Electronics
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    • v.16 no.2
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    • pp.130-136
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    • 2011
  • This paper presents the torque control algorithm of a permanent magnet synchronous motor(PMSM) for an electric scooter. The volume of the in-wheel type motor is restricted due to the complicated mechanical structure in wheel of an electric scooter, so the hall sensors instead of resolver and encoder for the rotor position sensors are installed. In this paper, the rotor speed and position are estimated from the speed estimator for vector control of a PMSM with hall sensors. The motor starts to rotate at standstill in BLDC mode with 120 degree conduction. After start up, the operating mode is changed to the vector control with maximum torque per ampere(MTPA) operation at low speeds and flux weakening control at high speeds. The performance of the proposed control algorithm is verified through the experiment in the electric scooter.