Optimized Kalman filters for sensorless vector control induction motor drives

Hussain, Mohammed Khalil; Alshadeedi, Bajel Mohammed; Hejeejo, Rashid

doi:10.11591/ijece.v13i1.pp17-27

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…An electroencephalogram (EEG) signal is the most common way to diagnose changes in brain cells [1]. EEG signals contain a vast amount of data [2]- [4], and visual diagnosis of them by neurophysiologists is more prone to error, time-consuming, and complex. An EEG records the brain's electromagnetic Activity, which can reveal crucial details about various brain disorders like epilepsy and eye issues [5].…”

Section: Introductionmentioning

confidence: 99%

Survey analysis for optimization algorithms applied to electroencephalogram

Hakem,

Al-Shammary,

Mahdi

2023

IJECE

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This paper presents a survey for optimization approaches that analyze and classify Electroencephalogram (EEG) signals. The automatic analysis of EEG presents a significant challenge due to the high-dimensional data volume. Optimization algorithms seek to achieve better accuracy by selecting practical features and reducing unwanted features. Forty-seven reputable research papers are provided in this work, emphasizing the developed and executed techniques divided into seven groups based on the applied optimization algorithm particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee colony (ABC), grey wolf optimizer (GWO), Bat, Firefly, and other optimizer approaches). The main measures to analyze this paper are accuracy, precision, recall, and F1-score assessment. Several datasets have been utilized in the included papers like EEG Bonn University, CHB-MIT, electrocardiography (ECG) dataset, and other datasets. The results have proven that the PSO and GWO algorithms have achieved the highest accuracy rate of around 99% compared with other techniques.

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Section: Introductionmentioning

confidence: 99%

Survey analysis for optimization algorithms applied to electroencephalogram

Hakem,

Al-Shammary,

Mahdi

2023

IJECE

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“…Inverters are used in all areas of power electronics [1]. Due to the rapid evolution of semiconductor components made in terms of power, robustness, and speed.…”

Section: Introductionmentioning

confidence: 99%

Implementation of a modified carrier-based PWM technique for a cascaded MLI using DSP microcontroller

Babkrani

Mourad

Naddami

et al. 2023

IJPEDS

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A multi-level converter is a power electronic device desired to generate a desired AC voltage level using several introduced DC voltages, the output voltage of the converter is characterized by a low harmonic content (THD) compared to conventional inverters. The adopted innovative design permits the independent control of PV modules, enabling, in this way, to operate independently and won’t be very affected by intermittence. Additionally in this paper, a new control strategy based on sinusoidal pulse width modulation (SPWM) technique is analyzed for cascaded H-Bridge inverter. In this new technique, separate modified carriers are used for each H-Bridge (HB). Multiple-carrier SPWM is used with the new control SPWM technique. Those carriers are being implemented with diverse sinusoidal dispositions phase disposition (PD), phase opposition and disposition (POD), alternative opposition and disposition (APOD), and with altered frequencies. Experimental results are obtained while using different operating conditions.

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