Papers by abdelhamid rabhi
International Journal of Vehicle Design, 2008
This paper uses second-order sliding mode observers to build up an estimation scheme allowing to ... more This paper uses second-order sliding mode observers to build up an estimation scheme allowing to identify the tyre longitudinal equivalent stiffness and the effective wheel radius using the existing ABS angular sensors. This estimation strategy, based on use of the proposed observer could be used with data acquired experimentally to identify the longitudinal stiffness and effective radius of vehicle tyres. The actual results show effectiveness and robustness of the proposed method.
A Method for Parameter Extraction of Photovoltaic Modules
Lecture Notes in Electrical Engineering, 2018
This paper presents an efficient and reliable method to extract parameters of a photovoltaic modu... more This paper presents an efficient and reliable method to extract parameters of a photovoltaic module (two-diode model) from datasheet at different environmental conditions, using a simple MATLAB-based algorithm. In this method, the number of parameters to be determined is six; it consists of a current source in parallel with two diodes. The first diode simulates the diffusion process of the minority carriers into the depletion layer, whereas the second diode corresponds to the recombination in the space charge region of the junction. This model requires only the coordinates of three key points of the I–V curve, i.e., the open-circuit voltage, the short circuit current and the maximum power point. This method is applied to a set of real PV module. This method is applied to a set of real PV modules of different technology.
Hardware implementation of new irradiance equalization algorithm for reconfigurable PV architecture on a FPGA platform
2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), 2019
The partial shading (PS) effect on solar Photovoltaic Generator (PVG) is one of the main causes o... more The partial shading (PS) effect on solar Photovoltaic Generator (PVG) is one of the main causes of losses in energy generation and reduced energy yield of the PVG. A promising technique for compensating these power losses relies on dynamically reconfiguring the electrical connections between photovoltaic (PV) modules via a switching matrix. This paper describes the hardware (HW) implementation of new equalization irradiance algorithm for reconfigurable PV architecture on a FPGA platform using Very high speed integrated circuit Hardware Description Language (VHDL). At first, simulation under different shading conditions is carried out with Matlab/Simulink. Obtained results show that the proposed algorithm is simple and has significant improvements in PVG power generation with a reduced processing time compared to the basic algorithm to the Basic Irradiance Equalization (BIE) algorithm as well as improved performance parameters namely fill factor, power loss and mismatch loss. Finally, the HW implementation on reconfigurable field programmable gate array (FPGA) Altera DE2-70 board proves that the designed algorithm reaches successfully the optimal configuration and sets the driving signal of switches in their suitable values.
Signed-Distance Fuzzy-Logic Sliding-Mode Control Strategy for Floating Interleaved Boost Converter
2021 9th International Conference on Systems and Control (ICSC), 2021
This article proposes a cascade control scheme of a floating interleaved boost converter consisti... more This article proposes a cascade control scheme of a floating interleaved boost converter consisting of a signed distance/single input FLC as an outer voltage control loop and two sliding mode controllers as an inner current control loop. Typically, the fuzzy logic controllers are designed using two-input variables, hence, a high number of fuzzy rules is needed, increasing the complexity and the rules tuning. The adopted signed distance fuzzy logic concept in this paper allows reducing the fuzzy rules number and consequently the tuning complexity. Besides the simplicity of design, many other advantages are offered by the proposed control strategy such as robustness against external disturbance and parameters variation. Computer simulations using Matlab/Simulink software were carried out to validate the efficiency and the effectiveness of the suggested strategy.
A robust output feedback control technique for improving vehicle lateral dynamic behavior
2016 5th International Conference on Systems and Control (ICSC), 2016
This paper deals with the active control in vehicle to improve the safety and its stability. Vehi... more This paper deals with the active control in vehicle to improve the safety and its stability. Vehicle model based on roll, yaw and lateral dynamics is used. The vehicle dynamics is represented by a LPV (Linear Parameter Varying) and the corresponding state-space model is affected by both polytopic and norm-bounded uncertainties. It is aimed to compute K, associated with the static output feedback, so as to place the set of all eigenvalues of the uncertain closed-loop state matrix Acl in a clustering region, denoted by D, while minimizing the effect of the disturbances on the system and ensuring the D-stability of Acl. This paper proposes an original technique, based on the resolution of ℒMI, to compute K. In order to highlight the performance of the proposed control algorithm, numerical simulations are performed.
In this paper, an H8 robust observer based control is proposed for guaranteeing tracking performa... more In this paper, an H8 robust observer based control is proposed for guaranteeing tracking performances of closed loop nonlinear systems. This approach is used to controlling DC-to-DC switched power converters of Buck type. The results are given in terms of linear matrix inequalities and they guarantee global asymptotic stability of the tracking error. The design conditions obtained using Lyapunov approach are given in terms of solvability as a set of Linear Matrix Inequities (LMIs) terms.
New Reconfiguration Method Based on Logic Gates for Small Dynamic Photovoltaic Array
This chapter proposes a new method for reconfiguring the dynamic photovoltaic (PV) array under re... more This chapter proposes a new method for reconfiguring the dynamic photovoltaic (PV) array under repeating shade conditions. The repeating shades are often caused in photovoltaic installations, especially in residential installations where PV modules can be subjected to shades occurred by nearby buildings or trees. The proposed method is based on logic gates and aims to minimize the processing time in the way that controller does not have to perform an exhaustive calculations at each shade condition to achieve the optimal configuration of the PV generator . Simulation of 2 × 2 size dynamic photovoltaic array has been carried out. Experimental tests of 1 × 1 size Dynamic Photovoltaic array under different irradiance conditions have been also conducted. The simulation and experimental tests have validated the proposed method in identification of the optimal configuration with less processing time and with an improvement in reducing power losses.
A GRNN Based Algorithm for Output Power Prediction of a PV Panel
In this paper we investigated the reliability of a GRNN algorithm for the power prediction of a P... more In this paper we investigated the reliability of a GRNN algorithm for the power prediction of a PV panel in order to minimize the effect of fast changing of the meteorological conditions. An experimental database of meteorological data (irradiance and module temperature) as input and electrical measure (power delivered by PV Panel) as output has been used. A database composed of two sets 97 values each one is used for training and validating the proposed GRNN model. The data used to develop the proposed algorithm are attained during two separated days from a PV panel within the MIS-Lab of UPJV, France. According to the gained results the algorithm can help to predict real instantaneous power even during temporary change in meteorological data.
Actuator Fault-Diagnosis and Fault-Tolerant-Control using intelligent-Output-Estimator Applied on Quadrotor UAV
2019 International Conference on Unmanned Aircraft Systems (ICUAS), 2019
Actuator fault is a prominent system’s issue that attracts the researchers’ attentions. One type ... more Actuator fault is a prominent system’s issue that attracts the researchers’ attentions. One type of actuator fault is a constant Loss-of-Effectiveness (LoE). In this paper, two systematic algorithms are presented. The first algorithm is designed to detect and diagnosis the actuator fault. This Fault-Detection-and-Diagnosis (FDD) approach relies on an estimator design that is called intelligent Output-Estimator (iOE). The proposed iOE is intended to improve the estimation of the actuator fault based on the Model-Free technique. The second algorithm works online after detecting, isolating and estimating the actuator fault. This Active-Fault-Tolerant-Control (AFTC) algorithm will use the estimated actuator value in a reconfigured control design to compensate for the fault.Real-time flight tests are applied on the Qball-X4 quadrotor. Different LoE actuator-fault scenarios are presented in this paper to validate the proposed algorithms.
Real-Time Determination of Solar Cell Parameters
Journal of Electronic Materials, 2017
The extraction of solar cell parameters is a difficult task but is an important step in the asses... more The extraction of solar cell parameters is a difficult task but is an important step in the assessment procedure of solar cells and panels. This work presents numerical methods for determining these parameters and compares their performances under different solar irradiances when they are implemented in an equivalent electrical circuit model with one or two diodes. To obtain a fast convergence rate in real-time applications, the fractional-order Darwinian particle swarm optimization (FODPSO) method is used through experimental data collected from a platform of photovoltaic (PV) energy installed near the modeling, information and systems laboratory at Amiens, France. The results showed that the one-diode model is less representative than the two-diode model. Furthermore, it is envisaged that the proposed FODPSO-based extraction method is more effective in modeling with two diodes. This will allow real-time determination of solar cells parameters and consequently will help to select the most suitable PV model.
Vehicle dynamics decentralized networked control
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
This paper deals with the networked decentralized control problem for vehicle dynamics stability.... more This paper deals with the networked decentralized control problem for vehicle dynamics stability. Firstly, the nonlinear roll, sideslip, Yaw model of the vehicle dynamics is represented by an interconnected Takagi-Sugeno (TS) fuzzy model. Secondly, using a fuzzy Lyapunov- Krasovskii functional, asymptotic stability sufficient conditions of vehicle behavior through a decentralized networked control system (DNCS), are developed in terms of Linear Matrix Inequalities (LMIs). A vehicle dynamics stability application is provided to demonstrate the effectiveness of the proposed approach.
Segmentation of the foveal avascular zone on retinal angiograms using bayesian approach
International audienc
Tire force and wheel torque estimation using high gain observer
2015 4th International Conference on Systems and Control (ICSC), 2015
Knowledge of the torque and the tire forces at each wheel is an important intermediate variable f... more Knowledge of the torque and the tire forces at each wheel is an important intermediate variable for system design of advanced driver assistance. This paper describes how it is possible to estimate online the torque and the longitudinal force of the vehicle wheel. We use a simplified model to synthesize the non-linear high-gain observer. The observer is validated on a comprehensive model of the vehicle. The necessary measurements is the usual rotation speed of wheel. Simulation results show effectiveness and robustness of the proposed method.
International Journal of Automation and Computing, 2015
This article describes a method of vehicle dynamics estimation for impending rollover detection. ... more This article describes a method of vehicle dynamics estimation for impending rollover detection. We estimate vehicle dynamic states in presence of the road bank angle as a disturbance in the vehicle model using a robust observer. The estimated roll angle and roll rate are used to compute the rollover index which is based on the prediction of the lateral load transfer. In order to anticipate rollover detection, a new method is proposed to compute the time to rollover (TTR) using the load transfer ratio (LTR). The nonlinear model, deduced from the vehicle lateral and roll dynamics, is represented by a Takagi-Sugeno (T-S) fuzzy model. This representation is used to account for the nonlinearities of lateral cornering forces. The proposed T-S observer is designed with unmeasurable premise variables to cater for non-availability of the slip angles measurement. The proposed approach is evaluated using CarSim simulator under different driving scenarios. Simulation results show good efficiency of the proposed T-S observer and the rollover detection method.
Contribution to the optimization of the electrical energy production from a Hybrid Renewable Energy system
2014 5th International Renewable Energy Congress (IREC), 2014
ABSTRACT On account of the broader use of Hybrid Renewable Energy systems (HRES), latest research... more ABSTRACT On account of the broader use of Hybrid Renewable Energy systems (HRES), latest researches are interested in solving their optimization problem. These systems have obvious advantages. However, they also present important drawbacks such as the discontinuity of the generation. Therefore, their use requires a suitable sizing and a control optimization study. In this paper, we made a research on an economic evaluation of the HRES for a typical home in the Oujda region (North-East of Morocco). An overall energy management strategy, with the help of the genetic algorithm (GA), is designed for the proposed suggested system. As a result of this we will be able to manage the energy flow of the various renewable sources and the storage unit, and minimize the annual cost of the system, so as to meet the load requirement in a reliable manner, while taking into consideration environmental factors.
In this paper a lane departure detection method is studied and evaluated using the full vehicle d... more In this paper a lane departure detection method is studied and evaluated using the full vehicle dynamics software CarSim. The road curvature is estimated and compared to the vehicle trajectory curvature. The proposed algorithm takes account of the steering dynamics and uses the Time to the Lane Keeping (TLK) as a second risk indicator in order to reduce false alarms and integrate the driver corrections. The used nonlinear model deduced from the vehicle lateral dynamics and a vision system is represented by a T-S fuzzy model. Stability conditions of the fuzzy observer are expressed in terms of linear matrix inequalities (LMI)using unmeasurable premise variables. Simulation results show good efficiency of the method under different driving scenarios.
Energy Procedia, 2014
In this work we present a faults detection method for photovoltaic systems (PVS). This method is ... more In this work we present a faults detection method for photovoltaic systems (PVS). This method is based on the calculation of sets of parameters of a PV module in different operating conditions, by means of a Neuro-Fuzzy approach. The PV system status is determined by evaluation and comparison of norms based on the aforementioned parameters, with threshold values. This intelligent system developed in Matlab&Simulink environment, consists on the study of the crucial information that the six parameters in normal and faulty condition contain. They are calculated using the I-V curves and synthesized by "hybrid" models. Results show that the diagnosis system is able to discern between normal and faulty operation conditions and with the same defective existence of noise and disturbances.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011
A methodology for estimating vehicle dynamics whith road geometry consideration is presented in t... more A methodology for estimating vehicle dynamics whith road geometry consideration is presented in this paper. Vehicle sideslip and roll parameters are estimated in the presence of the road bank angle and the road curvature as unknown inputs. The unknown inputs are then estimated using the observer results. This information about the road geometry and vehicle parameters is needed in the driver assistance systems to be able to calculate the risk index of a rollover or a lane departure crashes. Taking into account the unmeasured variables, an unknown inputs (TS) observer is then designed on the basis of the measure of the roll rate, the steering angle and the lateral offset given by the distance between the road centerline and the vehicle axe at a look-ahead distance. Synthesis conditions of the proposed fuzzy observer are formulated in terms of Linear Matrix Inequalities (LMI) using Lyapunov method. Simulation results show good efficiency of the proposed method to estimate both vehicle dynamics and road geometry.
New method for fault detection of PV panels in domestic applications
3rd International Conference on Systems and Control, 2013
ABSTRACT This research is presented a new algorithm and method for fault detection of photovoltai... more ABSTRACT This research is presented a new algorithm and method for fault detection of photovoltaic panels in Residential Photovoltaic System (RPS). Our proposed PV performance diagnosis system is consist of two parts, passive and active part. In the passive diagnosis part, residue value is generated with Model Base Fault Diagnosis (MBFD) method to observe clear alarm signal from arbitrary data. As well, statistical method such as Wald test technique is used to detect primary alarm in passive part. After observing the clear alarm signal, flash test is applied for investigating closer scrutiny of I-V characteristic to determine different type of faults (active part). This proposed Simple Flash Test Driver (FTD) device could be integrated in the modern inverters in order to increase the efficiency and reliability of the RPS without increasing any additional cost of materials and device in commercial DC/DC inverter.
ITBM-RBM, 2006
Dans cette étude nous nous intéressons à la segmentation d'images ultrasonores vasculaire in vivo... more Dans cette étude nous nous intéressons à la segmentation d'images ultrasonores vasculaire in vivo. Nous développons une méthode de segmentation utilisant, d'une façon originale, le modèle de régions actives géodésiques. Cette approche tient compte à la fois des informations contours et régions. Nous exploitons les propriétés statistiques de ces informations. Pour cela l'information région est approchée par un modèle de distribution de niveaux de gris de la région. La recherche des contours est faite par la méthode des ensembles de niveaux à partir d'une courbe initiale. Nous avons testé notre algorithme sur des images ultrasonores réelles, images échotomographiques veineuses in vivo présentant un thrombus que nous cherchons à isoler. Les résultats expérimentaux obtenus illustrent bien les bonnes performances de notre algorithme pour détecter et localiser le thrombus, et montrent aussi que notre méthode est bien adaptée à la segmentation des images ultrasonores vasculaire.
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Papers by abdelhamid rabhi