Solar Power Based Two Level Inverter Fed DTFC-SVM of a Sensorless IM Drive

Pothuraju, Ramakrishna; Ramesh, T.; Jaipal,

doi:10.1109/icoei.2018.8553932

Cited by 2 publications

(6 citation statements)

References 15 publications

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“…Considering that the buck converter operates in CCM, and the chosen state variables are the inductor current I LB and the DC-link voltage V dc .The dynamic of the buck converter is described with the differential equations (14), where u 3 refers to the state of the switch K B2 . where, c 1 and c 2 are the sliding surface parameters determined according to reachability condition [9,25], the errors are given by, the control discrete function of the buck converter is concluded from the transversality condition [25].…”

Section: Design Of Integral Sliding Mode Controller For the Buck Converter Modementioning

confidence: 99%

“…The discovering of field-oriented control (FOC) in 1972 has revolutionized the control theory of the induction motor (IM) [11][12][13]. However, the FOC technique uses coordinate transformation which makes it complex to implement, in addition, it is sensitive to internal parameters variation of the machine [14,15]. To minimize the complexity of FOC and improving its dynamic new control techniques have been founded, namely sliding mode control (SMC), and direct torque control (DTC) [16,17].…”

Section: Introductionmentioning

confidence: 99%

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Robust non-linear control of a hybrid water pumping system based on induction motor

Massaq

Abounada

Ramzi

2020

IJPEDS

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This contribution presents a non-linear control of a hybrid pumping system supplied with a photovoltaic generator and a battery. This system is employed for delivering a continuous volume of water whatever the climatic conditions. In the DC side, a boost converter is controlled with the indirect double integral sliding mode controller (DISMC) for maximum power point tracking (MPPT). The DISMC is suitable for MPPT because it gives a fast response and reduces the amplitude of power oscillations. Then, a bidirectional buck-boost converter is adopted to ensure the energy management between the battery and the DC-bus, and this converter is controlled with integral sliding mode control (ISMC) theory. The non-linear predictive control (NPC) is chosen to drive an induction motor (IM), the NPC is known by its fast dynamic and high capacity to reject disturbances. The hybrid system is modelled in MATLAB/Simulink software. During simulations, the DISMC-MPPT is compared with other techniques such as sliding mode controller (SMC) MPPT and integral SMC MPPT, the DISMC provides the best tracking performances under different irradiances. Moreover, the designed controller for the bidirectional converter regulates the DC-link voltage with better performances than the classical PI controller. Lastly, the NPC regulates the speed of the IM with high robustness.

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Section: Design Of Integral Sliding Mode Controller For the Buck Converter Modementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust non-linear control of a hybrid water pumping system based on induction motor

Massaq

Abounada

Ramzi

2020

IJPEDS

View full text Add to dashboard Cite

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“…Various estimation techniques for the rotor speed have been suggested in the literature in order to estimate the rotor speed in a closed loop utilizing the measured stator currents and voltages, like the full-order observer, 40 the extended Kalman filter, [41][42][43] the SMO, [44][45][46][47][48] the Luenberger observer 49,50 and the model reference adaptive system (MRAS). [51][52][53][54][55][56][57][58][59][60][61] Mostly, sensorless algorithms have proved their good performance at high-and mediumspeed ranges. However, there are lacks in terms of robustness and accuracy, especially at a very low speed and a locked rotor.…”

Section: Introductionmentioning

confidence: 99%

“…42 Among the suggested speed estimation methods, the MRAS speed estimator can be considered as the most commonly utilized method thanks to its simplicity of implementation. [51][52][53][54][55][56][57][58][59][60][61] The MRAS is based on two models and an adaptation mechanism. The first one is called the reference model which consists in estimating the rotor or the stator fluxes.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the classical MRAS observer uses a PI controller as an adaptation mechanism which cannot operates well, especially under severe operation conditions investigated in some research. [52][53][54][55][56][57][58] Recently, several research studies have been proposed and developed for improving the MRAS performance. Ramesh et al 52 put forward a sensorless conventional DTC with an MRAS speed estimator for an IM based on a type-2 fuzzy logic controller (T2FLC) and a type-1 fuzzy logic controller (T1FLC).…”

Section: Introductionmentioning

confidence: 99%

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Design and Xilinx Virtex-field-programmable gate array for hardware in the loop of sensorless second-order sliding mode control and model reference adaptive system–sliding mode observer for direct torque control of induction motor drive

Krim

Mimouni

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article aims first to propose an improved space vector modulation–direct torque control in order to enhance the induction motor performance using: (1) a super-twisting controller and (2) a novel model reference adaptive system based on a sliding mode observer. Second, due to the complexity of the suggested control algorithm, this article deals also with a hardware implementation on a field-programmable gate array board. Indeed, the field-programmable gate array is mainly chosen to reduce the execution time, thanks to its parallel processing which significantly improves the quality of the control system by reducing the sampling period, and consequently the delays in the control loop. Besides, the super-twisting controller is proposed to enhance the speed regulation loop which is a second-order sliding mode control technique that uses a continuous control law to prevent the chattering phenomenon induced by the first-order sliding mode control technique. Moreover, the high performance control requires information about the rotor speed which can be obtained by a sensor. Generally, the use of the speed sensor increases the system cost and size, and reduces its system reliability. Therefore, a combination between a model reference adaptive system observer and a sliding mode observer is suggested for speed estimation and overcoming the sensitivity of the classical model reference adaptive system observer against uncertainties and stator resistance variations. The performance of the proposed space vector modulation--direct torque control--super-twisting controller with the model reference adaptive system--sliding mode observer algorithm of an induction motor is verified through simulation, hardware co-simulation and experimental validation utilizing a field-programmable gate array Virtex-5-ML507 board. The performance of the suggested sensorless control method is compared also with other recent published schemes.

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Solar Power Based Two Level Inverter Fed DTFC-SVM of a Sensorless IM Drive

Cited by 2 publications

References 15 publications

Robust non-linear control of a hybrid water pumping system based on induction motor

Robust non-linear control of a hybrid water pumping system based on induction motor

Design and Xilinx Virtex-field-programmable gate array for hardware in the loop of sensorless second-order sliding mode control and model reference adaptive system–sliding mode observer for direct torque control of induction motor drive

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