Browsing by Author "Boudouda, Aimad"

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adaptive wavelets sliding mode control for a class of second order nderactuated mechanical systems.
(2021) Nafa, Fares; Boudouda, Aimad; Smaani, Billel
The control of underactuated mechanical systems (UMS) remains an attracting field where researchers can develop their control algorithms. To this date, various linear and nonlinear control techniques using classical and intelligent methods have been published in literature. In this work, an adaptive controller using sliding mode control (SMC) and wavelets network (WN) is proposed for a class of second-order UMS with two degrees of freedom (DOF). This adaptive control strategy takes advantage of both sliding mode control and wavelet properties. In the main result, we consider the case of un-modeled dynamics of the above-mentioned UMS, and we introduce a wavelets network to design an adaptive controller based on the SMC. The update algorithms are directly extracted by using the gradient descent method and conditions are then settled to achieve the required convergence performance. The efficacy of the proposed adaptive approach is demonstrated through an application to the pendubot.
Combined random space vector modulation for a variable speed drive using induction motor
(Springer, 2015) Boudouda, Aimad; Boudjerda, Nasserdine; El Khamlichi Drissi, Khalil; Kerroum, Kamal
and analyzed in steady-state characteristics of the motor B Aimad Boudouda aimad.boudouda@gmail.com Nasserdine Boudjerda n_boudjerda@yahoo.fr Khalil El Khamlichi Drissi drissi@lasmea.univ-bpclermont.fr Kamal Kerroum Kamal.KERROUM@lasmea.univ-bpclermont.fr 1 Department of Electrical Engineering, University Mohamed Seddik Ben Yahia, Jijel, Algeria 2 Pascal Institute, Blaise Pascal University, Clermont Ferrand, France in closed loop, which is advantageous in reducing acoustic noise
Electronique de puissance avancée : première année master machines electriques
(Faculté de Technologie : Département Ingénierie des Systèmes Electriques, 2023) Boudouda, Aimad
Les développements récents des composants électronique de puissance et des techniques de commande ont conduit à l’émergence de nouvelles topologies de convertisseurs de puissance, telles que les redresseurs MLI, les onduleurs MLI et les convertisseurs multi-niveaux. Le présent support de cours est destiné aux étudiants de la première année Master de la spécialité Electrotechnique est un guide d’apprentissage des bases et les notions fondamentales de l’électronique de puissance, centrées sur la nécessité de travailler en commutation pour pouvoir atteindre de forts rendements et sur le fait que certaines modalités dans le transfert d’énergie électrique de la source vers le récepteur sont alors à respecter....
Iterative method based optimization of wireless power transfer for biomedical implants
(IEEE, 2023) Bennia, Fatima; Boudouda, Aimad; Nafaa, Fares
Magnetic resonance coupling wireless power transfer (WPT) systems have gained increasing interest as an effective method for powering implantable medical devices (IMDs). Power transfer efficiency is a very important characteristic of WPT systems. It is characterized by the coupling and quality factors of the WPT coils. The maximum power transfer efficiency is obtained for high coupling and quality factors. It greatly depends on the geometrical parameters of the WPT coils. This paper presents an iterative procedure to design and optimize an implant coil restricted to a small size of 20mm at a distance of 30 mm, with an operating frequency of 13.56 MHz within the ISM frequency band. The proposed method aims to find the optimal geometrical parameters that maximize the power transfer efficiency. The designed coils give a high efficiency of about 83%. Finally, the finite element simulation with Ansys Maxwell 3D validates the obtained results
Optimal design of wireless power transfer coils for biomedical implants using machine learning and meta-heuristic algorithms
(Springer Nature, 2024) Bennia, Fatima; Boudouda, Aimad; Nafa, Fares
The classical methods for optimizing wireless power transfer (WPT) systems using mathematical equations or finite element methods can be time-consuming and may only sometimes yield optimal designs. In order to overcome this challenge, this paper introduces a novel approach integrating machine learning techniques with meta-heuristic methods to design and optimize a miniaturized, high-efficiency WPT receiving coil for biomedical applications. The objective is to achieve dimensions below 20 mm, a depth of 30 mm within the tissue, and a frequency of 13.56 MHz. Our approach leverages a neural network (NN) model to predict efficiency based on geometric coil parameters, eliminating the need for complex equations. The NN was trained on a dataset generated via finite element method simulations. We employ two meta-heuristic algorithms, the genetic algorithm and the coyote optimization method, to find optimal parameters that maximize efficiency. Our NN model demonstrates exceptional accuracy, exceeding 97%. Furthermore, the proposed WPT coil design approach enhances transfer efficiency by up to 76%, significantly reducing computation time compared to classical methods. Finally, we validate our results using finite element simulation with Ansys Maxwell 3D.
Power Electronics : Third Year Bachelor's Degree in Electrotechnics
(Faculty of Technology : Department of Electrical Systems Engineering, 2024) Boudouda, Aimad
This document serves as a course material for power electronics primarily intended for third-year Bachelor's students specializing in Electrotechnics within the Department of Electrical Systems Engineering. It serves as a guiding resource for understanding the fundamentals and essential concepts of power electronics. The document assumes that the students are already familiar with general circuit analysis techniques usually taught at the S3 semester. While a basic understanding of electronic devices like diodes and transistors is expected, the primary focus of this document lies in circuit topology and functionality rather than individual devices. ...
A randomized carrier-based discontinuous pulse width modulation strategy for neutral point clamped three-level inverter
(Publishing House of the Romanian Academy, 2024) Boudouda, Aimad; Aibeche, Abderrezak; Bouzida, Ahcene; Boudjerda, Nasserdine
This article introduces a novel approach called randomized carrier-based discontinuous pulse width modulation (RCDPWM) to address the challenge of mitigating both low-order and high-order harmonics concentrated at the switching frequency and its integer multiples in the output voltage and current of a three-level inverter. The proposed strategy reduces switching losses and a wide dispersion of voltage and current harmonics with significantly smaller amplitudes by integrating features from discontinuous and randomized PWM methods. This characteristic proves beneficial for enhancing efficiency and electromagnetic compatibility. The RCDPWM strategy involves three schemes: two simple schemes (one random parameter), randomized pulse position modulation (RPP-DPWM) and randomized carrier frequency modulation (RCF-DPWM), and a dual scheme combining the two previous ones (RPPRCF-DPWM). Power spectral density (PSD) is used to assess the effectiveness of the proposed strategy in quantitatively analyzing the harmonic dispersion degree. The results demonstrate that the proposed RCDPWM strategy significantly expands harmonic clusters around the switching frequency, reducing its intensity. The spectrum analysis revealed that the RPPRCF-DPWM scheme is the most effective in spreading the output voltage and current spectrum compared to simple schemes (RPP-DPWM and RCF-DPWM).
Real-Time Reduction of rotor position estimation error based on the stator flux Estimation-Combined method for sensorless control of PMSMs drives
(Praise Worthy Prize S.r.l, 2021) Aibeche, Abderrezak; Akroum, Hamza; Boudouda, Aimad; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine
This paper presents the implantation and the performance improvement of real-time reduction of rotor position estimation error based on the stator flux estimation-combined method for sensorless control of PMSMs drives. Wherein, the proposed method is designed based on a simple algorithm for accurate estimation and robust control of quasi-exact stator flux and position/speed of PMSMs. A large-speed range of applications in sensorless control strategies is achieved by using the mathematical model of PMSM motor. The latter presents the main idea of the estimators’ structures design. They are generally composed of voltage and current models (VM and CM). However, the dynamic performances of these methods are influenced in the low and high-speed ranges, and they are sensitive to parameters variations. The estimators’ structures are dominated by the current model at the low-speed range, and by the voltage model at the high-speed range. The technique proposed in this study is the combination of the two preceding models; this provides performances’ improvement in the PMSM dynamics for a large speed variation with compensating estimation errors for the two separate methods (VM and CM). The main objective of this combined method is the drawback reduction for the separate use of VM and CM estimators. The algorithm principle is based on exploiting and combining the two estimators while measuring the stator voltages and the currents, in addition to estimating the rotor position and the speed. Furthermore, the performances of the proposed method have been tested and validated through real-time experiments by using dSPACE ds 1104 DSP board
Robust decoupled adaptive fuzzy sliding mode control for a class of underactuated mechanical systems
(Levrotto and Bella, 2021) Nafa, Fares; Boudouda, Aimad; Smaani, Billel
Nowadays, Underactuated Mechanical Systems (UMS) remain an interesting research field for control laws development. This work deals with the design of an adaptive controller on the basis of Sliding Mode Control (SMC) and the universal approximation property of Fuzzy Systems (FS) for a classe of second order UMS two Degrees of Freedom (DOF). We first design an SMC law to force a coupled sliding urface to be reached in finite time. Second, by considering model uncertainties, fuzzy systems are then introduced to approximate the unknown controller. The adjustable parameters are updated by using gradient descent method. Through the stability analysis for both cases, it is shown that the system converges asymptotically to its equilbrium points in finite time. To demonstrate the validity and the performance of the proposed methods, an appropriate numerical application to an overhead crane systems is presented
Spectral analysis of switch voltage for dual randomized PWM DC-DC converters operating in DCM
(Taylor and Francis, 2021) Boudouda, Aimad; Bouzida, Ahcene; Nafa, Fares
This paper addresses the spectral characteristics of a dual randomised pulse width modulation scheme (RCFM-RPPM) for reducing conducted EMI in the basic DC-DC converters (buck, boost, and buck-boost) operating in discontinuous conduction mode (DCM). It combines two simple schemes, random carrier frequency modulation (RCFM), and a random pulse position (RPPM). First, the modulating principle of the dual randomised PWM is presented. Then, a mathematical model of power spectral density (PSD) that characterises the switch voltage of the three basic DC-DC converters is derived. The mathematical model is validated by simulation of a buck converter operating in DCM. Analytical and simulation results show the effectiveness of PSD spreading of the dual randomised scheme compare to the simple randomised schemes. Moreover, the PSD analysis is confirmed by FFT (Fast Fourier Transform) analysis of the switch voltage. Finally, the effect of randomness levels on the PSD spreading is studied
Spread spectrum in three-phase inverter by an optimised dual randomised PWM technique
(2014) Boudjerda, Nasserdine; Boudouda, Aimad; Melit, Mohammed; Nekhoul, Bachir; El Khamlichi Drissi, Khalil; Kerroum, Kamal
Randomised pulse width modulation (RPWM) technique has become a viable alternative to deterministic pulse width modulation (DPWM). By spreading the power spectrum in a continuous noise, this new technique better complies with electromagnetic compatibility (EMC) requirements for conducted electromagnetic interferences (EMI) and allows reducing the emitted acoustic noise in variable speed drives (VSDs). The most popular RPWM schemes are randomised pulse position modulation (RPPM) and randomised carrier frequency modulation (RCFM). The combination (RCFM-RPPM) or dual RPWM (DRPWM) has also been proposed. In this article, we propose an optimised DRPWM (ODRPWM) for the three-phase inverter. First, the modulating principle is proposed, and then, a mathematical model of power spectral density (PSD) of the output voltage is developed and validated for the three schemes, namely RPPM, RCFM and RCFM-RPPM. PSD analysis shows that the proposed scheme is more effective on spreading PSD. Moreover, this analysis reveals optimal parameters of randomisation for a maximum spread of the PSD. The optimisation problem is then modelled and solved using two powerful non-linear methods
Stability improvement of power system with connected wind turbine using three-levels STATCOM
(Inder Science Publicher, 2018) Bouzida, Ahcene; Abdelli, Radia; Aineche, Abderrazak; Boudouda, Aimad
The penetration of Doubly Fed Induction Generator (DFIG) into the power grid has become an important concern for power system engineers today. Voltage stability is an important factor to maintain the wind farm in service during some abnormal operating conditions. This paper deals with the integration of Synchronous Static Compensator STATCOM to overcome the voltage stability issue for the power systems with connected wind turbine. A dynamic model for the DFIG has been presented and the integration of a STATCOM to maintain stable voltage has been studied during a low voltage conditions. The developed system is simulated and the results demonstrate that the good control of STATCOM enhances voltage regulation as well as transient stability of the DFIG during three phase faults. Many verifications based on timedomain simulations have been presented in order to show the STATCOM capability in improving transient stability of the power system
Wireless Power Transfer Optimization Using Meta-heuristic Algorithms
(IEEE, 2024) Bennia, Fatima; Boudouda, Aimad; Nafa, Fares
The importance of Wireless Power Transfer (WPT) technology in biomedical implants to mitigate the risk of regeneration has increased significantly in recent years. WPT systems are dependent on key parameters such as the coupling coefficient (K), quality factor (Q), and mutual inductance (M), which play a crucial role in determining power transfer efficiency. These parameters are closely related to the geometric characteristics of the coils involved. Therefore, this study explores various meta-heuristic algorithms to search for optimal parameters that maximize power transfer efficiency. The initial results demonstrate that these algorithms perform well across different iterations. To confirm these findings, the study conducted comprehensive validation using Ansys Maxwell software to verify the optimal values obtained through optimization.