IRFOC vs DTC performance comparison analysis

As known, the main cause of the degradation in indirect rotor field oriented induction motor (IM) control (IRFOC) is the time-varying machine parameters, especially the rotor-time constant (T r ) and stator resistance (R s ), more pertinently, in cases of proportional-integral control with speed observation. In this work, a new exponential reaching law (ERL) based sliding mode control (SMC) is introduced to improve significantly the performances when compared to the conventional SMC which are well known susceptible to the annoying chattering phenomenon. So, the elimination of the chattering is achieved while simplicity and high performance speed tracking are maintained. In addition, an artificial neural network (ANN) technique is used to achieve an accurate on-line conjoint estimation of the most influent parameters on IRFOC. This technique is integrated in the adaptation mechanism of the model reference adaptive system (MRAS) in order to obtain adaptive sensorless scheme. The merits of the proposed method are demonstrated experimentally through a test-rig realized via the dSPACE DS1104 card in various operating conditions.

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“…A LPF is utilized at the output of the speed estimator. The complete IM parameters and details of experimental setup are given in [25].…”

Section: Test-rig Implementation and Resultsmentioning

confidence: 99%

Robust IM control with MRAS-based speed and parameters estimation with ANN using exponential reaching law

Rezgui

Legrioui

Mehdi

et al. 2014

2014 International Conference on Control, Decision and Information Technologies (CoDIT)

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“…A low pass filter (60 Hz) is utilized at the outputs of the speed estimator and the reference's torque. The complete IM parameters and details of experimental setup are given in [18]. The sliding mode control test without speed sensor based on MRAS with the conjoint ( , , and 1/ ) estimation performance using the PI in the adaptation mechanism is investigated at diverse working conditions (high and low speed regions with and without load torque).…”

Section: Implementation and Resultsmentioning

confidence: 99%

Robust IM exponential reaching law sensorless control with MRAS-based online parameters identification

Legrioui

Rezgui

Benalla

2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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Lot of works dealt with the robustness of the indirect rotor flux oriented control (IRFOC), however variation of electrical parameters of induction motor (IM), due mainly to the external condition like warming, cause the major problem of this techniques. In this work, we investigate and introduce a method called exponential reaching law (ERL) technique in the sliding mode controller to improve the control performance and remedy to the boring chattering phenomena. So the suppression of the chattering and the increasing of the reaching speed to the sliding surface is our first aim. As well, to get an adaptive sensorless scheme, a three classical proportional-integral controllers (PI) are included in the adaptation mechanism of the model reference adaptive system (MRAS) to obtain a conjoint online estimation of the rotor speed, the stator resistance (R S ) and the inverse of the rotor time constant (1/T r ) respectively. The proposed control technique is experimentally tested via the (RTI) blocks of Matlab/Simulink, and the dSPACE DS1104 card.

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“…Practically, Rotor FOC (RFOC) and DTC remain the most widely used VC techniques in high performances IMs torque drive [1]. Thereby, several comparisons between DTC and RFOC strategies have been emerged [15][16][17][18][19][20][21]. Indeed, some researchers have compared the DTC performances with those of the Indirect RFOC (IRFOC) when IMs are fed by Static Voltage Inverter (SVI) [15].…”

Section: Introductionmentioning

confidence: 99%

“…Thereby, several comparisons between DTC and RFOC strategies have been emerged [15][16][17][18][19][20][21]. Indeed, some researchers have compared the DTC performances with those of the Indirect RFOC (IRFOC) when IMs are fed by Static Voltage Inverter (SVI) [15]. They concluded that, contrary to the IRFOC, the DTC does not need to determinate the rotor instantaneous pulsation and does not depend on rotor resistance.…”

Section: Introductionmentioning

confidence: 99%

DSPace Based Implementation of DRFOC Using Hysteresis Stator Flux Controllers for IM

Lokriti¹,

Salhi²,

Doubabi³

2019

EJEE

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The purpose of this paper is to prove that Induction Motor (IM) torque drive based on Direct Rotor Field Oriented Control (DRFOC) could be achieved using no currents controllers and no PWM block. In fact, we propose, after an inverse Park rotation applied on direct and quadratic stator flux components, to control both stator flux components, real and imaginary, through two hysteresis controllers. Therefore, a switching table is established. It's independent from sector determination, does not introduce zero voltage vectors and with reduced size compared to Takahashi's switching table. Thus, a new approach to realize DRFOC is provided. The proposed DRFOC is validated by practical implementation on a DSPace 1104 board, for a 1.5 kW IM.

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IRFOC vs DTC performance comparison analysis

Cited by 13 publications

References 16 publications

Robust IM control with MRAS-based speed and parameters estimation with ANN using exponential reaching law

Robust IM control with MRAS-based speed and parameters estimation with ANN using exponential reaching law

Robust IM exponential reaching law sensorless control with MRAS-based online parameters identification

DSPace Based Implementation of DRFOC Using Hysteresis Stator Flux Controllers for IM

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