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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control)
Boujemaa Nassiri
International University of Agadir
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Robust power optimization strategy for wind-driven induction machines using type-2 and type-1 fuzzy logic controllers Driss Belkhiri; Boujemaa Nassiri; Mohamed Ajaamoum
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1313-1325

Abstract

This paper proposes a reliable power optimization strategy that maximizes the harvested power of induction machines driven by wind, taking into account variable wind turbulence and uncertain machine parameters. This work explores the challenging task of designing type-2 fuzzy logic (T2FL) and conventional type-1 fuzzy logic (T1FL) controllers for wind energy conversion systems that exhibit multiple non-linearities. T2FL controllers are proficient in tackling uncertainties and offer quicker and more precise decision-making capabilities. The proposed approach is beneficial as it is independent of accurate wind turbine parameters, wind speed data, or additional sensors. Rather, it utilizes the mechanical rotor speed and the wind turbine power as input, which corresponds to maximum power point tracking (MPPT) through the management of the rotor speed via the machine-side converter. Real data validates the scheme against classical controllers, and via a set of simulations and statistical analyses, performance metrics like steady-state error, overshoot, tracking speed, and efficiency are widely assessed. The results show that the proposed scheme, which is independent of a dedicated wind speed sensor, demonstrates superior tracking performance, lower tracking errors, such as lower RMSE/MAE, and higher energy yield, although the wind speed and the system parameters change rapidly. Overall, this design provides more robust performance to random wind speed variations, increases operational efficiency and wind turbines' service life, and is low in adding mass and cost.
Design and implementation of a power supply unit for a smart airport lighting control system Amine Derraa; Najat Ouaaline; Boujemaa Nassiri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 5: October 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i5.26690

Abstract

In this paper, a buck-boost converter is used to design and implement a power supply for intelligent airport lighting system applications. Innovative approaches to power supply design are required to meet the increasing demand for fault detection solutions for lighting systems in vital infrastructure such as airports. The buck-boost converter’s ability to step up or down input voltage levels makes it particularly well suited to this application, ensuring stable operation over a range of load conditions. With a fast-settling time of 26 ms at 6.1 V input and dropping to 6 ms at 22.4 V input, the power supply offers exceptional output stability. The output stabilizes steadily at 5 V with low ripple over a wide input voltage range (5 V to 23 V). The physical prototype, simulations, component selection and circuit design are all carefully tested and supported by experimental results. According to these results, the proposed converter-based power unit operates with stability and reliability, making it ideal for demanding lighting applications. By improving power stability in dynamic environments, this work improves the reliability of aviation infrastructure power systems and lays the groundwork for future advances in intelligent airport technologies.
NAT64 vs SIIT: performance and scalability study for VoIP services Khalid El Khadiri; Samir Elouaham; Najib El Kamoun; Boujemaa Nassiri; Ali El Ksimi; Said Amrane; Said Dlimi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 1: February 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i1.25833

Abstract

The growing demand for IP addresses, driven by the proliferation of devices, has depleted the internet protocol (IP) version 6 (IPv6) reserves of some regional internet registries (RIRs). It is imperative to migrate to IPv6, offering an extended addressing space. This transition is no longer a choice but a necessity due to the exhaustion of IP version 4 (IPv4) addresses. The internet engineering task force (IETF) has implemented various transition strategies, such as the use of dual stack, IPv6-in-IPv4 tunnels, and address translation, due to the inconsistency between the two versions of the IP (IPv4 and IPv6). IPv4/IPv6 address translation mechanisms are crucial for the coexistence of networks using both protocols, with scalability playing a central role. Although these mechanisms offer advantages such as optimizing addressing space, their ability to scale effectively must be evaluated, especially in demanding scenarios such as voice over IP (VoIP). This article examines the scalability of two mechanisms, network address translation 64 (NAT64) and stateless IP/internet control message protocol (ICMP) translation (SIIT), in terms of VoIP clients in the graphical network simulator 3 (GNS3) environment. The results indicate that the SIIT mechanism is more performant and scalable than NAT64 in all measured parameters.
Combination time-frequency and empirical wavelet transform methods for removal of composite noise in EMG signals Samir Elouaham; Boujemaa Nassiri; Azzedine Dliou; Hicham Zougagh; Najib El Kamoun; Khalid El Khadiri; Sara Said
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 6: December 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i6.24939

Abstract

Electromyography (EMG) measures the electrical activity in muscles during movement. An electromyography machine records the electrical signals from the muscle’s movements as sound waves. EMG signal measurement is used to help doctors make a quick evaluation to identify conditions such as muscle problems; dystrophy and neuropathies. The objectives of this study were to provide a good method that gives proper preprocessing for EMG signals. Often, the EMG signal is corrupted by natural noise, which makes analysis difficult; the new method, namely the empirical wavelet transform, is used to remove this noise and make it clean. The non-stationarity of EMG signals makes the analysis more difficult by the conventional methods such as time domain and frequency domain, which do not give much information about the EMG signals. The time-frequency tool is unavoidable, in this research we used periodogram, Choi-Williams, and smoothed Pseudo Wigner-Ville. The obtained results of the denoising and time-frequency applications demonstrate the high performance of the Periodogram and EWT methods in comparing with other techniques previously published.
Co-Authors Ali El Ksimi Amine Derraa Azzedine Dliou Driss Belkhiri Hicham Zougagh Khalid El Khadiri Mohamed Ajaamoum Najat Ouaaline Najib El kamoun Said Amrane Said Dlimi Samir Elouaham Samir Elouaham Sara Said