Speed sensorless field-oriented control of induction motor with rotor resistance adaptation

Kubota, Hisao; Matsuse, Kouki

doi:10.1109/28.315232

Cited by 374 publications

(142 citation statements)

References 4 publications

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“…The speed estimation block is updated each 100 (switching time) but the parameter adaptive observer is updated each minute since the temperature change is not so fast. In the third block the stator and rotor resistances are estimated by using parameter adaptive observer [14]. Finally the proposed LCM calculates the optimal air gap flux [15]- [17], and the reference optimal flux producing current component ( ) is calculated from the calculated optimal air gap flux as given by (29).…”

Section:  mentioning

confidence: 99%

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Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Abdelkarim¹,

Ahmed²,

Orabi³

et al. 2012

Journal of Power Electronics

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The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.

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Section:  mentioning

confidence: 99%

“…Temperature and influence of skin effect in the winding would be necessary for a correct copper losses calculation. To circumvent this problem, the stator and rotor resistances are estimated on-line by adaptive motor parameter observer [14]. The stator and rotor copper losses then can be calculated from (11).…”

Section: Induction Motor Circuit Modelmentioning

confidence: 99%

Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Abdelkarim¹,

Ahmed²,

Orabi³

et al. 2012

Journal of Power Electronics

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“…Further, a high performance sensorless induction motor drive requires speed estimation in addition to estimating machine parameters most important of which is the rotor resistance which varies during the operation of the motor. Very few works have been reported on simultaneous estimation of speed and rotor resistance [43][44][45][46][47].…”

Section: Research Problemmentioning

confidence: 99%

“…So, a change in either rotor speed or rotor resistance has an equal effect on the electrical behaviour of the motor. Recently, few works have been reported on simultaneous estimation of speed and rotor resistance [43][44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

Commande de haute performance sans capteur d'une machine asynchronen /

Thongam¹

2006

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Induction machine, when driven by a field oriented controller behaves like a separately excited dc machine, where torque and flux are naturally decoupled and are controlled independently; and this control strategy allows high performance to be achieved from it.However, conventional vector controlled induction motor drive has the disadvantage of requiring speed sensor which increases the cost and complexity of the drive system.Moreover, drive performance is affected by rotor resistance, whose unknown variation during the operation causes incorrect decoupling of flux and torque which leads to deterioration of drive performance. This thesis focusses on the development of a high performance sensorless induction motor drive. Control of the drive is done in rotor flux coordinates which allows natural decoupling of flux and torque producing components of stator current space vector. Sensorless control of the drive system is achieved by developing rotor flux and speed estimation algorithms using only the measurable stator terminal quantities: the current and voltage. The state and parameter estimation problem is looked into as a question of proper mathematical modeling of the machine in an appropriate reference frame, which along with proper choice of states, enables us to develop an estimation algorithm capable of accurate estimation.In this work a two pronged approach is adopted to achieve the research objective. First approach is based on the fact that dynamics of rotor speed is much slower than that of electrical states of the machine. Hence, the time derivative of rotor speed can be conveniently equated to zero in the machine model used for implementing the estimation

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“…There are many methods proposed already in this field [2,3,4,5]. As there are many restrictions generated by using mechanical sensors, moreover the extra expense and allocation problems that made using such sensors difficult in some cases.…”

Section: Introductionmentioning

confidence: 99%

A Simple Sensor-less Vector Control System for Variable Speed Induction Motor Drives

et al. 2000

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This paper demonstrates a new and simple speed estimation method for the induction motor (IM) drives at low speeds. This method uses the current and the input voltage in a closed loop for rotor parameter estimation. In this method, a digital system expression is considered where we assume that the rotor flux and the rotating speed are constant during a short sampling period. Simulation and experimental results demonstrate the validity of the proposed estimation algorithm for practical applications.

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Speed sensorless field-oriented control of induction motor with rotor resistance adaptation

Cited by 374 publications

References 4 publications

Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Commande de haute performance sans capteur d'une machine asynchronen /

A Simple Sensor-less Vector Control System for Variable Speed Induction Motor Drives

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