Robust control of induction motor drive with rotor time-constant adaptation

Lin, Faa Jeng; Wai, Rong‐Jong; Shieh, Hsin Jang

doi:10.1016/s0378-7796(98)00032-7

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…A dynamic state space model of three-phase, Y-connected induction motor can be expressed in a synchronous reference frame as follows (Lin et al, 1998):…”

Section: Indirect Field-oriented Induction Motor Controlmentioning

confidence: 99%

“…The field-oriented control (FOC) has been widely used to achieve high-performance induction motor drives. This control strategy ensures decoupling and control flexibility similar to that of electric drives based on direct current machines (Lin et al, 1998;Vas, 1998). To reach this objective, it is necessary to keep the rotor flux value at rated value, so that the optimal magnetic circuit exploitation guarantees the maximum power efficiency of the motor (Lin et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

“…This control strategy ensures decoupling and control flexibility similar to that of electric drives based on direct current machines (Lin et al, 1998;Vas, 1998). To reach this objective, it is necessary to keep the rotor flux value at rated value, so that the optimal magnetic circuit exploitation guarantees the maximum power efficiency of the motor (Lin et al, 1998). However, the major disadvantage of the vector control scheme of IM is that the slip frequency calculation requires knowledge of rotor time constant value.…”

Section: Introductionmentioning

confidence: 99%

“…However, the major disadvantage of the vector control scheme of IM is that the slip frequency calculation requires knowledge of rotor time constant value. This motor parameter varies during the induction motor operation, not only mainly because of the rotor resistance variation with increasing temperature but also because of the saturation level and skin effect (Barut et al, 2012;Chitra and Himavathi, 2015;Kan et al, 2015;Karanayil et al, 2007;Lin et al, 1998;Wang et al, 2014;Zhao et al, 2016). Therefore, an inaccuracy on the rotor time constant value leads to an error in the determination of the rotor flux position, which introduces an undesirable cross coupling and dynamic performances degradation of IM drives (Chitra and Himavathi, 2015;Kan et al, 2015;Karanayil et al, 2007;Miloud and Draou, 2005;Lin et al, 1998;Wang et al, 2014;Zhao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In the past decades, great attention have been given to estimating or identifying the rotor time constant, and many solutions, more or less effective, have been proposed to overcome this problem (Maiti et al, 2008;Orlowska-Kowalska, 1989;Radwan et al, 2005;Lin et al, 1998;Mapelli et al, 2017;Nayeem Hasan and Husain, 2009;BenRegaya et al, 2018). For example, the Luenberger state observer is proposed in Orlowska-Kowalska (1989) for simultaneous estimation of rotor time constant and rotor flux.…”

Section: Introductionmentioning

confidence: 99%

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Real-time implementation of MRAS rotor time constant estimation for induction motor vector control based on a new adaptation signal

Omari

Khalil

Hazzab

et al. 2019

COMPEL

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Purpose The major disadvantage of the field-oriented control (FOC) scheme of induction motors is its dependency on motor parameter variations because of the temperature rise. Among the motor parameters, rotor resistance is a parameter that can degrade the robustness of FOC scheme. An inaccurate setting of the rotor resistance in the slip frequency may result in undesirable cross coupling and performance degradation. To overcome this disadvantage, the purpose of this paper is to propose a model reference adaptive system (MRAS) rotor time constant tuning to improve the induction motor drive performance and to compensate the flux orientation error in vector control law. Design/methodology/approach First, the dynamic model and the indirect field-oriented control of induction motor are derived. Then, an inverse rotor time constant tuning is proposed based on MRAS theory where a new adaptation signal formulation is used as reference model, and the estimated stator currents obtained from induction motors (IM) state space resolution is used in the adaptive model. Findings The effectiveness and robustness of IM speed control with the proposed MRAS inverse rotor time constant estimator is verified through MATrix LABoratory/Simulink model simulation and laboratory experimental results. The simulation and experimental results show good transient drive performances, satisfactory for rotor resistance estimation and robustness with regard to uncertainties and load torque disturbance. Originality/value This paper presents an online tuning of the inverse rotor time constant using a new adaptation signal MRAS model. The proposed estimator is proved to guarantee the stability for different operating conditions, especially in very low/zero speed region and heavy load torque. The stability analysis of the proposed estimation procedure is also demonstrated.

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“…A dynamic state space model of three-phase, Y-connected induction motor can be expressed in a synchronous reference frame as follows (Lin et al, 1998):…”

Section: Indirect Field-oriented Induction Motor Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%