An Online Simplified Rotor Resistance Estimator for Induction Motors

Kenné, Godpromesse; Simo, R S; Lamnabhi-Lagarrigue, F.; Arzandé, Amir; Vannier, J-C

doi:10.1109/tcst.2009.2033790

Cited by 58 publications

(34 citation statements)

References 20 publications

(36 reference statements)

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“…The d-and q-axis output voltages of the current regulator are given as (15) and (16). The d-and q-axis feed-forward terms for decoupling can be given as (17) and (18) considering the voltage equations of (13) and (14).…”

Section: Modeling Of An Induction Machine and Amentioning

confidence: 99%

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Robust On-line Rotor Time Constant Estimation for Induction Machines

Yoo¹

2014

Journal of Power Electronics

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This paper proposes an on-line rotor time constant estimation strategy for indirect field oriented induction machines. The performance of the indirect field oriented control is dependent especially on the rotor time constant whose value varies according to the temperature. The proposed method calculates the difference between the nominal rotor time constant and the real value from the d-and q-axis integration terms of a proportional integral (PI) current regulator and the demanded voltages of the induction machine to regulate the current in the steady state. Because the proposed strategy has a simple structure and is available in wide speed and torque ranges, the proposed method can be easily used in the industrial field. The effectiveness of proposed strategy is verified with simulations and a 7.5kW experimental setup.

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Section: Modeling Of An Induction Machine and Amentioning

confidence: 99%

“…There have been several previous studies to update the time-varying rotor time constant [8]- [17]. In [8], [14] and [15], the rotor flux is estimated for updating the rotor time constant.…”

Section: Introductionmentioning

confidence: 99%

Robust On-line Rotor Time Constant Estimation for Induction Machines

Yoo¹

2014

Journal of Power Electronics

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“…Although it has been widely studied over the last three decades, an effort to make the tuning of rotor time constant simpler and accurate is still being researched. The three different approaches adopted for overcoming the detuning problem are: (i) designing an intelligent controller, which can work effectively even when the machine parameters are inaccurate [8][9][10][11]; (ii) designing an offline rotor resistance adaptation technique [6]; and (iii) designing an online rotor resistance identification mechanism [7,[12][13][14][15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, it also requires intensive controller characterization before the machine can be put into operation. Finally, the online resistance adaptation [12][13][14][15][16][17][18][19][20][21][22][23] is most appropriate choice because it can adjust the rotor time constant under all of the operating conditions. This paper proposes and compares an off-line tuning method [6] and another Model Reference Adaptive System (MRAS) based online tuning scheme [14] for the rotor resistance adaptation and analyzes their effectiveness through experimental study.…”

Section: Introductionmentioning

confidence: 99%

“…The off-line scheme propounded in this paper is a practical one and its performance is validated for the ISA application. The online rotor resistance adaptation techniques [12][13][14][15][16][17][18][19][20][21][22][23] are designed based on the neural network, or using sliding mode observer, or are realized by the Model Reference Adaptive Scheme (MRAS). For example, the online rotor resistance adaptation technique presented in [17] is based on an artificial neural network in which the error between the rotor flux linkages, based on a neural network model and a voltage model, is back propagated to adjust the weights of the neural network model for the rotor resistance estimation.…”

Section: Introductionmentioning

confidence: 99%

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Detuning Minimization of Induction Motor Drive System for Alternative Energy Vehicles

Rehman

2015

Energies

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This paper evaluates different types of AC machines and various control techniques for their suitability for the drive system of Alternative Energy Vehicles (AEV). An Indirect Field Oriented (IFO) drive system for the AEV application is chosen and its major problem of detuning is addressed by designing an offline and an online rotor resistance adaptation technique. The offline scheme sets the slip gain at various operating conditions based on the fact that if the rotor resistance is set correctly and field orientation is achieved, then there should be a linear relationship between the torque current and the output torque. The online technique is designed using Model Reference Adaptive System (MRAS) for the rotor resistance adaptation. For an ideal field oriented machine, the rotor flux along the q-axis should be zero. This condition acts as a reference model for the proposed MRAS scheme. The current model flux observer in the synchronous frame of reference is selected as an adjustable model and its rotor resistance is tuned so that the flux along the q-axis becomes zero. The effectiveness of the offline tuning scheme is evident through performance validation of the drive system, which is implemented in a real Ford vehicle. The experimental results obtained while driving the test vehicle are included in the paper while the proposed online scheme is validated on a 3.75 kW prototype induction motor.

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Adaptive control and signal processing literature survey (No. 21)

2010

Adaptive Control & Signal

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In order to keep readers up-to-date, the journal will contain a list of recently published journal articles relevant to the fields of adaptive control and signal processing six times a year. This list is compiled from a wide range of journals. Please note that even though the list has been broadly categorized these classifications are by no means strict, and are there to assist the reader. Please also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions or comments, please e-mail Erfu Yang at erfu.yang@eee.strath.ac.uk. 1. ADAPTIVE SYSTEMS Adetola V, Guay M. Performance improvement in adaptive control of linearly parameterized nonlinear systems. IEEE Transactions on Automatic Control 2010; 55(9):2182-2186. Bartoszewicz A, Nowacka-Leverton A. ITAE optimal sliding modes for third-order systems with input signal and state constraints. IEEE Transactions on Automatic Control 2010; 55(8):1928-1932. Bresch-Pietri D, Krstic M. Delay-adaptive predictor feedback for systems with unknown long actuator delay. IEEE Transactions on Automatic Control 2010; 55(9):2106-2112. Chen W, Jiao L, Li R, Li J. Adaptive backstepping fuzzy control for nonlinearly parameterized systems with periodic disturbances. IEEE Transactions on Fuzzy Systems 2010; 18(4):674-685. Cheng C-C, Chien S-H, Shih F-C. Design of robust adaptive variable structure tracking controllers with application to rigid robot manipulators. Immersion and invariance adaptive control of nonlinearly parameterized nonlinear systems. IEEE Transactions on Automatic Control 2010; 55(9):2209-2214. Miller D, Mansouri N. Model reference adaptive control using simultaneous probing, estimation, and control. IEEE Transactions on Automatic Control 2010; 55(9):2014-2029. Mizumoto I, Ohdaira S, Iwai Z. Output feedback strict passivity of discrete-time nonlinear systems and adaptive control system design with a PFC. Automatica 2010; 46(9):1503-1509. Moreno-Valenzuela J, Santibáñez V, Orozco-Manrııquez E, González-Hernández L. Theory and experiments of global adaptive output feedback tracking control of manipulators. IET Control Theory and Applications 2010; 4(9):1639-1654. Plestan F, Shtessel Y, Brégeault V, Poznyak A. New methodologies for adaptive sliding mode control. International Journal of Control 2010; 83(9):1907-1919.Reinhartz-Berger I, Soffer P, Sturm A. Extending the adaptability of reference models.

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An Online Simplified Rotor Resistance Estimator for Induction Motors

Cited by 58 publications

References 20 publications

Robust On-line Rotor Time Constant Estimation for Induction Machines

Robust On-line Rotor Time Constant Estimation for Induction Machines

Detuning Minimization of Induction Motor Drive System for Alternative Energy Vehicles

Adaptive control and signal processing literature survey (No. 21)

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