Separately excited DC motor speed using ANN neural network

Mahmood, Zuhair Shakor; Nasret, Ali Najdet; Mahmood, Omar Talal

doi:10.1063/5.0068893

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…Three switching variables, A, B, and C, will be given to the inverter if previously assumed, just one of the two power switches of each leg of the inverter is constantly run, disregarding the brief time intervals when both switches are off (dead time) [15,16].…”

Section: Methodsmentioning

confidence: 99%

Predictive Current Control of Voltage Source Inverters Using a Discrete-Time Model

Abdullah¹,

Kareem²,

Algburi³

et al. 2023

JESA

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In this investigation, the most popular multilevel inverter topologies and control approaches have been analyzed. The various benefits, such as low power dissipation on power switches, low harmonic contents, and low Electromagnetic Interference (EMI) outputs, Multilevel Inverter Topologies (MLIs) are finding more and more usage in medium and high-power applications. An optimization tool for the layout of a three-phase Voltage Source Inverter (VSI) using a diode-based rectifier has been created. For generalpurpose industrial motor drives that use three-phase Alternating Current (AC), the Pulse Width Modulation (PWM) voltage source inverter with diode front-end rectifier has emerged as the converter of choice. This study discusses the implementation of predictive current control in a voltage source inverter. This technique makes use of a discrete-time model of the system to foresee the load current for every conceivable inverter-generated voltage vector. The voltage vector is chosen that minimizes a quality function. In this study, we use a quality function that measures the current error at the next sample interval. It is compared to hysteresis control and pulse width modulation control to see how well the suggested predictive control approach performs. The results demonstrate that the predictive strategy manages load current extremely well and outperforms traditional methods.

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Section: Methodsmentioning

confidence: 99%

Predictive Current Control of Voltage Source Inverters Using a Discrete-Time Model

Abdullah¹,

Kareem²,

Algburi³

et al. 2023

JESA

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“…In recent years,the theory of DTC of induction motor has grown rapidly because of its rapid reaction to flux linkage and torque [4], [15] as well as its minimal reliance on the rotor parameters. in the direct toque control system theory the equations below describe the relationship of the static two-phase coordinate system between voltage,current and speed:…”

Section: Speed Identification Model Of Direct Toque Controlmentioning

confidence: 99%

Enhancement of motor speed identification using artificial neural networks

Salih

Mahmood

Ali

et al. 2022

IJEECS

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In this study have been utilized a modified version of ant colony optimization to improve the thresholds of neural networks and weights by including therank-weight approach. Furthermore, this technique easily overcome the drawbacks speed up convergence into the minimum while training the backpropagation neural network. The improved ant colony optimization-backpropagation neural.not only has the capacity to map extensively, but it also enhances operating efficiency noticeably, according to the simulation findings. The simulation results revealed that the speed sensor replaced with the ant colony optimization rw-optimized back propagation neural network-speed identification and motor’s speed determined using this approach the result is satisfactory.

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“…Thin metal films patterned with nanostructures may also be used for surface plasmon resonance (SPR), making them a promising material with which to create filters. Depending on the nanostructures of the metal sheet, the incident light links with the surface plasmon in a certain manner [3,4,5]. By altering the nanostructures, the resonant wavelength may be tuned, allowing the desired light filtration to be achieved.…”

Section: Introductionmentioning

confidence: 99%

A New Filter Design Built Into CMOS Image Sensor

Mahmmod¹,

Najdet²,

Noori³

2023

JIPIRS

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dry etch and Electron beam lithography were used to directly integrate plasmonic color filters onto the top surface of a complementary metal oxide semiconductor (CMOS. The filters have a spectral range of 3.5 × 8 microns. After measuring the photocurrent, it was found that the 150×150-pixel plasmonic CIS was sensitive to all colors in the visible spectrum. The filters were made using a straightforward method that only required a single lithographic procedure. This is in contrast to the standard multi-stage processing required when working with dyedoped polymers. It is possible to fabricate these plasmonic components on a metal layer near to the photodiodes since they are intrinsically compatible with a typical CMOS process. Future low-cost, low-cross-talk, high-functionality advanced CIS may be possible with the help of such plasmonic components.

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Separately excited DC motor speed using ANN neural network

Cited by 10 publications

References 9 publications

Predictive Current Control of Voltage Source Inverters Using a Discrete-Time Model

Predictive Current Control of Voltage Source Inverters Using a Discrete-Time Model

Enhancement of motor speed identification using artificial neural networks

A New Filter Design Built Into CMOS Image Sensor

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