• Title/Summary/Keyword: Stator Flux-Oriented

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SIMULTANEOUS SPEED AND ROTOR TIME CONSTANT IDENTIFICATION OF AN INDUCTION MOTOR DRIVE BASED ON THE MODEL REFERENCE ADAPTIVE SYSTEM COMBINED WITH A FUZZY RESISTANCE ESTIMATOR

  • Soltani, Jafar;Mizaeian, Behzad
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.11-16
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    • 1998
  • In this paper, simultaneous estimation of rotor speed and time constant for a voltage source inverter (VSI) fed induction motor drive are disccussed. The theory is based on the Model Reference Adaptive System (MRAS). The identifier executes Simultaneous rotor speed and time constant so that vector control of the induction may be achieved in the rotor-flux oriented reference frame. Furthermore, to eliminate the offset error caused by the change in the stator resistance, a fuzzy resistance regulator is also designed which operates in parallel with the rotor speed and time constant identifier

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Robust Sensorless Speed Controller Design for SFO System of Induction Motor (유도전동기 고정자자속 기준제어시스템을 위한 강인한 센서리스 속도제어기 설계)

  • Kim Dae-Il;Shin Myoung-Ho;Hyun Dong-Seok
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.175-178
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    • 2002
  • In a conventional speed sensorless Stator Flux Oriented(SFO) induction machine drive system, the estimated speed is delayed in transients by the use of a low pass filter(LPF). To prevent extreme overshoot caused by this delay, PI controller gains should be small, which consequently is greatly affected by disturbance torque. In this paper, by taking advantage of disturbance torque observer and feedforward control, robust speed controller is designed for speed sensorless SFO system. The proposed method is verified by the simulation results.

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A Study on the High-Performance Vector control of Induction Motor for Industrial Application (산업설비 적용을 위한 유도전동기의 고성능 벡터제어에 관한 연구)

  • 손진근;김진상;김병진;김국진;전희종
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.9 no.6
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    • pp.57-64
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    • 1995
  • This paper deals with the modeling and simulation to control the torque and speed of an induction motor using field-oriented control methods. Rotor flux is estimated using the indirect sensing method based on the rotor circuit equation in the synchronously rotation reference frame, and slip angle and rotor position are calculated from rotor angular velocity and stator current. As results of modeling and digital simulation with a voltage source inverter, it is shown that the proposed scheme gives good static and dynamic performance to the induction motor drive.

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Robust Fuzzy Logic Current and Speed Controllers for Field-Oriented Induction Motor Drive

  • El-Sousy, Fayez F.M.;Nashed, Maged N.F.
    • Journal of Power Electronics
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    • v.3 no.2
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    • pp.115-123
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    • 2003
  • This paper presents analysis, design and simulation for the indirect field orientation control (IFOC) of induction machine drive system. The dynamic performance of the IFOC under nominal and detuned parameters of the induction machine is established. A conventional proportional plus integral-derivative (PI-D) two-degree-of-freedom controller (2DOFC) is designed and analysed for an ideal IFOC induction machine drive at nominal parameters with the desired dynamic response. Varying the induction machine parameters causes a degredation in the dynamic response for disturbance rejection and tracking performance with PI-D 2DOF speed controller. Therefore, conventional controllers can nut meet a wide range of speed tracking performance under parameter variations. To achieve high- dynamic performance, a proposed robust fuzzy logic controllers (RFLC) for d-axis rotor flux, d-q axis stator currents and rotor speed have been designed and analysed. These controllers provide robust tracking and disturbance rejection performance when detuning occurres and improve the dynamic behavior. The proposed REL controllers provide a fast and accurate dynamic response in tracking and disturbance rejection characteristics under parameter variations. Computer simulation results demonstrate the effectiveness of the proposed REL controllers and a robust performance is obtained fur IFOC induction machine drive system.

A Time-Varying Gain Super-Twisting Algorithm to Drive a SPIM

  • Zaidi, Noureddaher;Jemli, Mohamed;Azza, Hechmi Ben;Boussak, Mohamed
    • Journal of Power Electronics
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    • v.13 no.6
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    • pp.955-963
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    • 2013
  • To acquire a performed and practical solution that is free from chattering, this study proposes the use of an adaptive super-twisting algorithm to drive a single-phase induction motor. Partial feedback linearization is applied before using a super-twisting algorithm to control the speed and stator currents. The load torque is considered an unknown but bounded disturbance. Therefore, a time-varying switching gain that does not require prior knowledge of the disturbance boundary is proposed. A simple sliding surface is formulated as the difference between the real and desired trajectories obtained from the indirect rotor flux oriented control strategy. To illustrate the effectiveness of the proposed control structure, an experimental setup around a digital signal processor (dS1104) is developed and several tests are performed.