Using the Five-level NPC Inverter to Improve the FOC Control of the Asynchronous Machine

Es-Saadi, Mouna; Khafallah, Mohamed; Jammali, Mustapha; Brik, Abdelkarim Ait; Khoukh, A.; Chaikhy, Hamid

doi:10.1109/irsec.2017.8477356

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…Electroencephalography is a method of research the functional state of the brain, by studying its electrical activity. Electrical activity is examined by an electroencephalograph device that receives and converts signals taken by electrodes on the surface of the human head according to the international system "10-20%" [30][31][32]. The electroencephalogram obtained by this method is integral throughout the neurophysiological activity of the human body, being an indicator of the quality of the ongoing neurophysiological processes.…”

Section: Non-invasive Methods For Identifying Motor Activity In the Human Limbsmentioning

confidence: 99%

“…The task of processing electroencephalograms and identifying cognitive patterns is much more difficult than processing the data of electromyography. The accuracy of the definition of motion, even simple (opening-closing eyes, squeezing-opening the hand) is much lower than in the classification of patterns of electromyography [13,[28][29][30][31][32]. However, the prospects of using electroencephalography are higher, since there are opportunities to determine the patterns of intentions of movement.…”

Section: Non-invasive Methods For Identifying Motor Activity In the Human Limbsmentioning

confidence: 99%

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Hybrid neural networks in cyber physical system interface control systems

et al. 2020

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The calculation and results of simulation of the magnetic control system for the spacecraft momentum are presented in the paper. The simulation includes an assessment of the reliability of calculating the Earth's magnetic field parameters, as well as an assessment of the quality of object stabilization by resetting the total momentum with the aid of the system under review. The outcome of a comparative analysis of resource efficiency and energy efficiency are demonstrated in the implementation of the proposed hardware models of controllers on FPGA. The strengths and weaknesses of the programming models are shown. The developed models will allow to be modified and perform more complex operations in the future.

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Section: Non-invasive Methods For Identifying Motor Activity In the Human Limbsmentioning

confidence: 99%

Section: Non-invasive Methods For Identifying Motor Activity In the Human Limbsmentioning

confidence: 99%

Hybrid neural networks in cyber physical system interface control systems

et al. 2020

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“…force constant, e F is the electromagnetic force, L F is the external load disturbance, M is the total mass of the moving part and c f is the viscous friction and iron-loss coefficient. The main idea of the field oriented control is to render the behaviour of the LIM similar to that of a separately excited DC machine, this last gives the ability to control the electromagnetic force and rotor flux independently [7], [17]. The decoupling is realized by forcing the secondary flux linkage to align with the daxis.…”

Section: Indirect Field Oriented Controlmentioning

confidence: 99%

Adaptive integral backstepping controller for linear induction motors

Mahmoudi¹,

Boucheta²

2019

IJPEDS

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Linear induction motors offer the possibility to perform a direct linear motion without the nead of mechanical rotary to linear motion transformers. The main problem when controlling this kind of motors is the existence of indesirable behaviours such as end effect and parameter variations, which makes obtaining a precise plant model very complicated. This paper proposes an adaptive backstepping control technique with integral action based on lyapunov stability approach, which can guarantee the convergence of position tracking error to zero despite of parameter uncertainties and external load disturbance. Parameter adaptation laws are designed to estimate mover mass, viscous friction coefficient and load disturbance, which are assumed to be unknown constant parameters; as a result the compensation of their negative effect on control design system. The performance of the proposed control design was tested through simulation. The numerical validation results have shown good performance compared to the conventional backstepping controller and proved the robustness of the proposed controller against parameter variations and load disturbance.

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“…Thesefeatures contribute to the improvement of the efficiency of PMSMs as compared to induction motors (IM). Field oriented control (FOC) or vector control theory has become now a widely accepted solution for the control of AC motors drives [3][4][5]. Matrix converter-fed PMSM drives combine the advantages and attractive features of both the motor and converters technologies, and are emerging as a competing candidate drive technology for applications that require power-dense and volumetrically efficient electromechanical energy conversion with minimal distortion of supply-side power quality.…”

Section: Introductionmentioning

confidence: 99%

Performance comparison of field oriented control based permanent magnet synchronous motor fed by matrix converter using PI and IP speed controllers

Bouazdia

Bouhamida

Taleb

et al. 2020

IJEECS

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This paper focuses on modeling and closed-loop speed control of a three-phase Permanent Magnet Synchronous Motor (PMSM) fed by a Matrix Converter (MC) based on Field-Oriented Control (FOC). The model considers a set of a small input filter with supply impedance or cable effect, to improve the quality of the input current. A simplified form of the Venturini modulation algorithm is used for switching the matrix converter and a comparative study of two types of speed controllers is presented, namely a proportional integral (PI) and a proportional integral (PI) to improve performances of the drive system in transient and stable conditions. The overall drive system is simulated using Matlab/Simulink environment. The motor performance is evaluated under different operating conditions such as sudden changes in the load or changes in the angular speed reference. The results of the converter MC gives unlimited output frequency, sinusoidal input current and output voltage waveforms and unity input displacement factor. The IP controller is shown to achieve better performance of the speed control loop, with or without the load torque as compared to the PI classic controller.

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Using the Five-level NPC Inverter to Improve the FOC Control of the Asynchronous Machine

Cited by 7 publications

References 4 publications

Hybrid neural networks in cyber physical system interface control systems

Hybrid neural networks in cyber physical system interface control systems

Adaptive integral backstepping controller for linear induction motors

Performance comparison of field oriented control based permanent magnet synchronous motor fed by matrix converter using PI and IP speed controllers

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