High-performance vector control without AC phase current sensors for induction motor drives: Simulation and real-time implementation

Azzoug, Younes; Sahraoui, Mohamed; Pusca, Rémus; Ameid, Tarek; Romary, Raphaël; Cardoso, António J. Marques

doi:10.1016/j.isatra.2020.09.021

Cited by 37 publications

(29 citation statements)

References 54 publications

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“…In the classical LO coefficient, k 0 is a positive constant and the difference between the estimated and measured currents in the (α-β) frame is used in the additional term with the G matrix (13). When some CS fault occurs, the estimated stator current can only be used in the LO mathematical model, as it was carried out in [17,18]. However, in these works, the value of the k 0 coefficient was taken close to one (i.e., in ( 19)-( 22), the value of (k 0 − 1) = 0.001), which, in fact, caused the LO to turn to the IM mathematical model itself (matrix G ≈ 0) and, thus, the stator current and rotor flux estimation was sensitive to the mismatch in motor parameters.…”

Section: Modified Lo Used In Cs Postfault Operationmentioning

confidence: 99%

“…Other approaches found in the literature are based on the use of stator current estimators of the IM. These solutions have become very popular in recent years [8,[16][17][18][19]. In [8], the other CS fault compensator based on the flux-linkage observer was used; however, the authors paid attention to its significant sensitivity to IM parameters.…”

Section: Introductionmentioning

confidence: 99%

“…This method allowed one to significantly increase the quality of the stator current estimation. The Luenberger Observer (LO) can also be used to estimate the stator current, as shown in [17,18]. However, the authors used the characteristic parameter k 0 of the observer gain matrix close to 1, making elements of this matrix close to 0, which caused the feedback term of the observer to practically disappear.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Self-Correcting Virtual Current Sensor Based on the Modified Luenberger Observer for Fault-Tolerant Induction Motor Drive

Adamczyk

Orłowska-Kowalska

2021

Energies

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Fault-tolerant control (FTC) solutions are increasingly being used in modern drive systems with AC motors. Such systems provide a higher degree of security and solutions that allow the on-line detection and localization of failures, as well as the switching of the control mode to a mode that allows us to continue the operation or safely stop the drive system. As the current sensors (CSs) are necessary to ensure precise control of the AC motors, in the event of their failure, one of two strategies can be used—hardware or software redundancy. The first strategy requires the use of additional measuring sensors. For this reason, the algorithmic solution, based on the Luenberger Observer (LO), has been proposed in this article as one of the software redundancy methods. In contrast to methods presented in the literature, the proposed solution allows one not only to compensate the stator current in a phase with a faulty CS, but also to adjust the correction of current estimation based on a measured signal in the other phase with a healthy CS. Extensive simulation studies in the direct rotor flux-oriented control (DRFOC) structure with the induction motor (IM) confirm the effectiveness of the proposed method. In addition, the proposed solution allows the drive system to be controlled even if all CSs are damaged.

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Section: Modified Lo Used In Cs Postfault Operationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Self-Correcting Virtual Current Sensor Based on the Modified Luenberger Observer for Fault-Tolerant Induction Motor Drive

Adamczyk

Orłowska-Kowalska

2021

Energies

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“…If i d is controlled to be zero, PMSM is decoupled, and the torque of PMSM can be written as follows [24,25]:…”

Section: Calculation Of the Electromagnetic Torquementioning

confidence: 99%

Identification of Robot Joint Torsional Stiffness Based on the Amplitude of the Frequency Response of Asynchronous Data

Liu

Wang

2021

Machines

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The difficulty of adding external excitation and the asynchronous data collection from the industrial robot operation limited the online parameter identification of industrial robots. In this regard, this study proposes an identification method that only uses the amplitude of the frequency response function (FRF) of the system to identify robot joint torsional stiffness and dynamic parameters. The error criterion function shows that this method is feasible and comparable to applying the complete frequency response for identification. The Levenberg–Marquardt (L-M) algorithm is used to find the global optimal value of the error criterion function. In addition, an operational excitation method is proposed to excite the system. The speed profile is set as a triangle wave to excite the system using rectangular wave electromagnetic torques. The simulation results show that using the amplitude of the FRF to identify parameters applies to asynchronous data. The experiments on a single-degree-of-freedom articulated arm test bench show that the motion excitation method is effective, and both stiffness and inertia are identifiable.

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“…Field oriented control ensures the proper control of an induction machine, using a d-q representation to control variables as dc quantities using basic PI controllers [22,23]. Field oriented control can be implemented sensorless, many papers have presented different methods [24][25][26][27]. Additionally, field-weaking control can be applied along with field-oriented control to achieve a higher speed [28,29].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Cruise Control in Electric Vehicles with Field-Oriented Control

Petri

Petreuş

2022

Applied Sciences

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An adaptive cruise control system is highly used in conventional internal combustion engine vehicles, but due to the electrification of the vehicles, the adaptive cruise control system must be placed in relation with the electric motor control block. This paper presents the relationship between an adaptive cruise control system and the motor control in the case of an electric vehicle. An indirect filed-oriented control of an induction machine is considered for the electric traction system. The adaptive cruise control block computes the required acceleration to ensure the velocity set by the driver based on the set velocity, the actual velocity of the vehicle, a safe distance, and the relative distance between the host car and a leading car. The proposed system was implemented in MATLAB/Simulink and, also, in a low-scale laboratory experimental setup. The correct operation of the system was tested using a speed profile, and both systems, simulated and experimental, have the expected response. The velocity, acceleration, rotor speed, torque response, and relative and safe distance are the responses presented to prove the efficiency of the proposed implementation.

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High-performance vector control without AC phase current sensors for induction motor drives: Simulation and real-time implementation

Cited by 37 publications

References 54 publications

Self-Correcting Virtual Current Sensor Based on the Modified Luenberger Observer for Fault-Tolerant Induction Motor Drive

Self-Correcting Virtual Current Sensor Based on the Modified Luenberger Observer for Fault-Tolerant Induction Motor Drive

Identification of Robot Joint Torsional Stiffness Based on the Amplitude of the Frequency Response of Asynchronous Data

Adaptive Cruise Control in Electric Vehicles with Field-Oriented Control

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