Dual Direct Torque Control of Doubly Fed Induction Machine using Artificial Neural Network

Khadar, Saad; Kouzou, Abdellah

doi:10.1109/pais.2018.8598497

Cited by 6 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The trajectories in the α-β axis of the stator flux vector for the three strategies are presented in Figure 16. Figures [17][18][19] represents the THD of the one phase stator current of FP-PMSM using the FFT method for the three strategies. We can clearly see that THD is minimized using the NDTC-NSVPWM (THD=9.49%) compared to DTC-SVPWM (THD=17.43%) and DTC-ST (THD=27.37%).…”

Section: Figure 13 Rotation Speedmentioning

confidence: 99%

See 1 more Smart Citation

Feedforward Neural Network-DTC of Multi-phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy

Mehedi¹,

Benbouhenni²,

Nezli³

et al. 2021

JESA

View full text Add to dashboard Cite

In this work, the direct torque control (DTC) is applied to the five-phase permanent magnet synchronous motor (FP-PMSM). The DTC method based on classical space vector pulse width modulation (SVPWM) is a common solution used to overcome traditional problems; such as stator flux ripple, electromagnetic torque ripple and gives more total harmonic distortion (THD) of the stator current. The actual paper is based on improving the performance of DTC-SVPWM by using the feedforward neural networks (FNNs) instead of the proportional-integral (PI) regulators and hysteresis comparators (HCs) of the conventional SVPWM strategy. This algorithm can solve the traditional PI regulators and HCs problems which are represented in responses dynamic and reduce the torque ripple, flux ripple, and the THD of stator current of FP-PMSM drives. The proposed strategy was tested in different tests with simulation using Matlab software.

show abstract

Section: Figure 13 Rotation Speedmentioning

confidence: 99%

“…A hybrid control was proposed based on ANN and ANFIS of the DTC to control IM [17]. The authors [18] propose a Dual DTC for DFIM using ANN. A novel STs of 12 sectors DTC was proposed for IM drive [19].…”

Section: Introductionmentioning

confidence: 99%

Feedforward Neural Network-DTC of Multi-phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy

Mehedi¹,

Benbouhenni²,

Nezli³

et al. 2021

JESA

View full text Add to dashboard Cite

show abstract

“…The DTC strategy scheme consists of the estimation block for the torque and flux, two hysteresis controllers and two switching table [4]. It is much simpler than the vector control scheme due to the absence of coordinate transformation and a position encoder [12][13][14]. In fact, in order to apply DTC technique to this studied configuration, we define two switching tables, where the first is used to control the inverter 1 and the second to control the inverter 2.…”

Section: Direct Torque Control Strategymentioning

confidence: 99%

“…Firstly, this paper presents a mathematical model by which behavior of OEW-IM with ITSC fault in the same phase can be analyzed. Secondly, a proposed direct torque control technique is used, which offers a good performance, a better reference speed tracking response and robustness under the rotor parameters variation [12][13], but it requires the estimation of the motor parameters to ensure the robustness (particularly, stator resistance) [14], which are used in machine modeling under stator winding fault. Thus, it is important to add an estimation algorithm in order to compensate the variation effects of stator resistance.…”

Section: Introductionmentioning

confidence: 99%

Stator Resistance Compensator Based on Model Reference Adaptive System Scheme for Sensor-Less Direct Torque Control of an Open End-Winding Induction Motor with First Coil Faults

Khadar¹,

Kouzou²

2019

AMA_C

View full text Add to dashboard Cite

Today, direct torque control (DTC) is one of the most actively researched control techniques due to its exceptional dynamic response and less dependence on motor parameters. However, the DTC technique has a disadvantage that the stator resistance variation due to inter-turn short circuit (ITSC) fault causes an estimation error of the stator flux, this leads to a decline in the performance of DTC technique. To solve this problem, this paper proposes a DTC technique of open end-winding induction motor (OEW-IM) under ITSC fault with stator resistance compensator based on model reference adaptive system (MRAS). The main objective of the proposed estimation scheme is to improve the DTC performance under fault condition, where the stator resistance value is updated during operation to compensate the fault effects. The control system performance is verified in terms of the healthy and faulty performances through the simulation. Based on the obtained simulation results, it can be said that the effectiveness of the proposed control system is clearly validated.

show abstract

“…The DDTC suffers from disadvantages ofvariation in the switching frequency, flux and torque ripples. Recently methods have been proposed to resolve this drawbacks; some papers focus on control optimization of a DFIM [6], some paper focus on low-speed sensorless double DTC for DFIM [7], and other papers propose the introducingof fuzzy logic technique [8], [9], while [10] propose the artificial neural network in DDTC of DFIM. Nevertheless, there are a few difficulties that limit the use of these kinds of controllers, such as a variable switching frequency, torque and flux ripple.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine

Boumaraf¹,

Boutabba

Sebti

2021

IJECE

View full text Add to dashboard Cite

<span>This paper proposes the fundamental aspects of hybrid nonlinear control which is composed of the super twisting algorithm (STA) based second order sliding mode control applying fuzzy logic method (FSOSMC), with pertinent simulation results for a doubly fed induction machine (DFIM) drive. To minimize chattering effect phenomenon due to Signum function employed in sliding mode algorithm, a new method is proposed. This technique consists in replacing the signum function by fuzzy switching function in the SOSMC to minimize flux and torque ripples. This FSOSMC is associated to the double direct torque control DDTC of the doubly fed induction machine (DFIM) by combining the advantages of fuzzy logic (FL) and the advantages of super-twisting sliding mode. The FSOSMC-DDTC strategy is compared with a PI-DDTC and SOSMC-DDTC. Simulation results demonstrate good efficiency and excellent robustness of the hybrid nonlinear controller.</span>

show abstract

Dual Direct Torque Control of Doubly Fed Induction Machine using Artificial Neural Network

Cited by 6 publications

References 8 publications

Feedforward Neural Network-DTC of Multi-phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy

Feedforward Neural Network-DTC of Multi-phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy

Stator Resistance Compensator Based on Model Reference Adaptive System Scheme for Sensor-Less Direct Torque Control of an Open End-Winding Induction Motor with First Coil Faults

Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine

Contact Info

Product

Resources

About