Papers by Abdelkader Chaari
In this article, we are going to compare between the performance of two techniques of control: th... more In this article, we are going to compare between the performance of two techniques of control: the Direct Torque Control (DTC) and the Field Oriented Control (FOC), for Synchronous Reluctance Motor (SRM) drives. These two strategies are the most well known in the vector command methods and give a powerful solution for high-performance drives to reach maximum operation at optimum torque, raised effectiveness and good power factor with reduced losses. This paper presents also the simulation results of these techniques with SRM drives. Features of both methods are illustrated after different simulation tests, with Matlab/ Simulink software.
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
HAL (Le Centre pour la Communication Scientifique Directe), May 1, 2016
DOI : 10.1080/00207179.2016.1181788International audienceno abstrac
2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET), 2017
This paper presents an investigation of an inverter fault tolerant direct torque control (DTC) of... more This paper presents an investigation of an inverter fault tolerant direct torque control (DTC) of permanent magnet synchronous motor (PMSM) with loss of one leg. In case of faulty inverter, continuous operation is necessary and thus a breakdown of the PMSM drive is unacceptable. The basic idea of this work consists in analyzing performance of a three legs inverter and two legs inverter fed PMSM drive using DTC technique. Simulation results show that the two legs inverter fed PMSM is able to operate steadily under the DTC approach proposed.
International Journal of Energy Sector Management, 2020
Tunisia has high solar radiation levels, which makes it suitable for the installation of photovol... more Tunisia has high solar radiation levels, which makes it suitable for the installation of photovoltaic (PV) systems. The design of these kinds of systems is an important step because there are many crucial factors to assess the PV module efficiency such as temperature, module types and solar radiation.This paper aims to give an analysis of the most influencing factor for selecting location. In fact, after estimating the PV panel inclination, the solar radiation and the temperature in “Zarzis” (southeastern of Tunisia), a comparative analysis among the different PV panel types was given. Additionally, to find which technologies are suitable for the climate conditions of this area, it is important to compare the effect of temperature and solar radiation on their performances.
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 2017
Purpose Electric vehicles (EVs) require uninterrupted and safe conditions during operations. Ther... more Purpose Electric vehicles (EVs) require uninterrupted and safe conditions during operations. Therefore, the diagnostic of power devices and electric motor faults are needed to improve the availability of the system. Hence, fault-tolerant control (FTC), which combines switch fault detection, hardware redundancy and post-fault control, is used. This paper aims to propose an accurate open-phase fault detection and FTC of a direct torque control permanent magnet synchronous motor electrical vehicles by using discrete Fourier-transform phase method. Design/methodology/approach The main idea is to propose detection and identification of open-phase fault (faulty leg) among three phases voltage source invertor (VSI)-fed permanent magnet synchronous motor drives. Once the faulty leg is detected and isolated, a redundant phase leg insertion, shared by a three-phase VSI, is done by using independent bidirectional TRIAC switches to conduct FTC system. This accurate fault detection significantly...
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2019
Background: This document presents a new approach to estimate speed and rotor position of the sal... more Background: This document presents a new approach to estimate speed and rotor position of the salient-pole Permament Magnet Synchronous Motor (PMSM). Methods: To eliminate the mechanical sensors, we apply a sensorless field oriented control (FOC) by using an improved full-order sliding mode observer (FO-SMO) at different speeds (low and high speeds). The stability of the Slide Mode Observer (SMO) was demonstrated with the Lyapunov function. Methods: The simulation results prove good properties of the proposed estimation method. Conclusion: The sensorless field oriented control strategy of the salient-pole PMSM has been proposed in this paper using an improved full-order SMO.
International Journal of Adaptive Control and Signal Processing, 2017
SummaryIn this paper, a new methodology is introduced for the identification of the parameters of... more SummaryIn this paper, a new methodology is introduced for the identification of the parameters of the multiple‐input–multiple‐output local linear Takagi‐Sugeno fuzzy models using the weighted recursive least squares (WRLS). The WRLS is sensitive to initialization, which leads to no convergence. In order to overcome this problem, adaptive chaos particle swarm optimization is proposed to optimize the initial states of WRLS. This new algorithm is improved versions of the original particle swarm optimization algorithm. Finally, comparative experiments are designed to verify the validity of the proposed clustering algorithm and the Takagi‐Sugeno fuzzy model identification method, and the results show that the new method is effective in describing a complicated nonlinear system with significantly high accuracies compared with approaches in the literature.
2016 4th International Conference on Control Engineering & Information Technology (CEIT), 2016
this paper proposes a fault tolerant control (FTC) for permanent magnet synchronous motors (PMSM)... more this paper proposes a fault tolerant control (FTC) for permanent magnet synchronous motors (PMSM) using field-oriented control (FOC) and direct torque control (DTC) strategy. In order to ensure continuity of operation and without losing PMSM performance in fault, the proposed FTC allows transition from FOC to DTC. The FOC of PMSM drive needed a mechanical sensor to measure rotor position but with the second strategy this was not necessary. The simulation results confirm the effectiveness of the FTC method proposed.
Asian Journal of Control, 2016
The purpose of this paper is to present a new design for an optimal fuzzy sliding mode control ba... more The purpose of this paper is to present a new design for an optimal fuzzy sliding mode control based on a modified parallel distributed compensator and using a scalar sign function method. The proposed fuzzy sliding mode control uses a modified parallel distributed compensator scheme to find the optimal gains. To do this, the control gains are not considered constant through the linearized subsystem. Among these, we find state feedback gains, which are determined in offline mode using some prescribed performance criteria. Moreover, the fuzzy sliding surface of the system is designed using a stable eigenvector and the scalar sign function. The advantages of the proposed design are minimum energy control effort, faster response, and zero steady‐state error. We analyze and test the performance and stability of the new optimal fuzzy sliding mode control using simulation results that show that the proposed approach is very effective.
2016 XXII International Conference on Electrical Machines (ICEM), 2016
This paper deals with a new method of on-line stator resistance identification based on model ref... more This paper deals with a new method of on-line stator resistance identification based on model reference adaptive systems (MRAS) technique for high performance sensorless speed control of interior permanent magnet synchronous motor (IPMSM) drive. In order to estimate the rotor position, a nonlinear position observer algorithm based on the IPMSM fluxes is proposed. The nonlinear observer is constructed using the flux linkage as a new state variable without speed dependence. The nonlinear observer estimated the rotor position by using a trigonometric function. The reference and adjustable models, developed in the d-q synchronous reference frame, are used in the MRAS scheme to estimate the stator resistance from measured terminal voltages and currents. Finally, experimental results validate the correctness and effectiveness of the proposed sensorless speed vector control. The experimental implementation is carried out on powerful dSpace DS1103 controller board.
2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2015
In this document, an sensorless field oriented control (FOC) for PMSM utilizing the SMO is propos... more In this document, an sensorless field oriented control (FOC) for PMSM utilizing the SMO is proposed. We have building a new sliding mode observer to estimate the rotor velocity/position from the back EMF, in which a continuous function (called sigmoid) is applied instead the sign method. The stability verification of our observer was made by the Lyapunov theorem. The effectiveness of sensorless FOC was validated by the results obtained in section 4. The simulation results obtained by using Matlab/Simulink program validate the robustness of the SMO under parameter variations and external disturbance.
Mathematics and Computers in Simulation, 2017
Design of new fuzzy sliding mode controller based on parallel distributed compensation controller... more Design of new fuzzy sliding mode controller based on parallel distributed compensation controller and using the scalar sign function, Math. Comput. Simulation (2016),
14th International Conference on Sciences and Techniques of Automatic Control & Computer Engineering - STA'2013, 2013
ABSTRACT State estimation is of paramount importance in many fields of the problems encountered i... more ABSTRACT State estimation is of paramount importance in many fields of the problems encountered in practice. Filtering is the method of estimating the sate of the system by incorporating noisy observations. Particle filters are sequential Monte Carlo methods that use a point mass representation probability densities in order to propagate the required statistical proprieties for state estimation. In this paper, a new formulation of particle filter for nonlinear Bayesian estimation frameworks using various proposal importance function densities and state characterizations. New formulation particle filtering methods that use the extended and unscented Kalman filters are introduced. All the methods are compared in terms of accuracy and robustness. Is proposed from the sequential Bayesian approach theory. A synthetic stochastic model that incorporate non-linear, non stationarily is used for illustrative example.
International Journal of Control, 2001
The paper outlines how improved estimates of time variable parameters in models of stochastic dyn... more The paper outlines how improved estimates of time variable parameters in models of stochastic dynamic systems can be obtained using recursive filtering and fixed interval smoothing techniques, with the associated hyper-parameters optimized by maximum likelihood ...
Page 1. Affine Takagi-Sugeno fuzzy model identification based on a novel fuzzy c-regression model... more Page 1. Affine Takagi-Sugeno fuzzy model identification based on a novel fuzzy c-regression model clustering and particle swarm optimization Moêz Soltani High school of science and techniques of Tunis Avenue Taha Hussein ...
International journal of ambient energy, Feb 7, 2019
In this paper, a methodology of sizing optimization of a stand-alone hybrid PV/wind/ battery powe... more In this paper, a methodology of sizing optimization of a stand-alone hybrid PV/wind/ battery power generation system (HPWGS) is proposed. The main objective of this optimization is to minimize the total annual cost (TAC) of the hybrid system considering power balanced constraint and determination of the optimal number of wind turbines, PV panels, and batteries. For this purpose, a new meta-heuristic natureinspired algorithm, called Grey Wolf Optimizer is utilized. The obtained results show that the proposed methodology finds optimal sizing of the HPWGS easily with fast convergence and lower cost. Comparing the results of this new method with the wellknown published works in the literature, the superior capabilities of this proposed method are demonstrated. Moreover, the results show that the reliability characteristics are weakened with decreasing the component availability, and the supply reliability of the HPWGS is improved by increasing the inverter efficiency while the TAC is decreased. Furthermore, the HPWGS can cover the load demand variations with high reliability.
Lecture notes in networks and systems, Dec 29, 2017
The main motivation for this work is to develop a new design of fuzzy sliding mode control based ... more The main motivation for this work is to develop a new design of fuzzy sliding mode control based on parallel distributed compensator and using Euclidean particle swarm optimization in order to overcome the problem caused by an inappropriate selection of sliding surface parameters. The proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The Euclidean particle swarm optimization is incorporated into the linear quadratic regular technique for determining the optimal weight matrices. Consequently, an optimal sliding surface is obtained. This latter is used to design the proposed control law. Finally, several tests have been done to examine the performance and applicability of the proposed method in real world.
Page 1. Takagi-Sugeno fuzzy model parameters identification based on fuzzy c-regression model clu... more Page 1. Takagi-Sugeno fuzzy model parameters identification based on fuzzy c-regression model clustering algorithm and particle swarm optimization Moêz Soltani High school of science and technology of Tunis Avenue Taha ...
Energies
The market share of electric vehicles (EVs) has grown exponentially in recent years to reduce air... more The market share of electric vehicles (EVs) has grown exponentially in recent years to reduce air pollution and greenhouse gas emissions. The principal part of an EV is the energy storage system, which is usually the batteries. Thus, the accurate estimation of the remaining useful life (RUL) of the batteries, for an optimal health management and a decision-making policy, still remains a challenge for automakers. In this paper, the problem of battery RUL prediction is studied from a new perspective. Unlike other estimation strategies existing in the literature, the proposed technique uses an intelligent prediction of the lifespan of lithium–iron–phosphate (LFP) batteries via a modified version of neural networks. It uses a data-driven life estimation approach and optimization method and does not require any prior comprehension and initialization of any parameters of the battery model. To validate and verify the proposed technique, we use LFP battery data sets, and the experimental re...
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Papers by Abdelkader Chaari