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var str = 'Fuzzy-PI Conroller Tuned With GWO, WOA And TLBO For 2 DOF Robot Trajectory Control';
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]]>
Fuzzy-PI]]>
GWO]]>
WOA]]>
TLBO]]>
Robot trajectory control]]>
In this study, a manipulator robot with two degrees of freedom was controlled by Fuzzy-PI adjust by three meta-heuristic algorithms (Grey wolf optimizer (GWO), Whale Optimization Algorithm (WOA) and Teaching–learning-based optimization (TLBO)). The scale factors of the fuzzy system of the takagi-soguno type (the width of the membership functions) and the parameters of PI were optimized by those three algorithms under the cost function of the absolute magnitude of the mean error (MAE). In order to investigate the robustness of the proposed controller we considered the friction forces. The results of the simulation prove the controller's effectiveness to follow a given trajectory.]]>
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var str = 'Achouri, Mourad';
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]]>
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var str = 'Zennir, Youcef';
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]]>
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var str = 'Tolba, Cherif';
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]]>
Algerian Journal of Signals and Systems ; Vol. 7 No. 1 (2022): AJSS; 1-6]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v7i1]]>
Laboratory of Signals and Systems, Algeria]]>
2022-03-31]]>
Copyright (c) 2022 Mourad Achouri, Youcef Zennir, Cherif Tolba]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/150/131]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/150]]>
10.51485/ajss.v7i1.150]]>
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var str = 'A Novel Fractionalized PID controller Using The Sub-optimal Approximation of FOTF';
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]]>
Fractional Control]]>
Approximation Methods]]>
Oustaloup Method]]>
PID Controller]]>
In the last two decades, fractional calculus has been rediscovered by scientists and engineers and applied in an increasing number of fields, namely in the area of control theory. Recently, many research works have focused on fractional order control (FOC) and fractional systems. It has proven to be a good mean for improving the plant dynamics with respect to response time and disturbance rejection. In This work we use the Sub-optimal Approximation of fractional order transfer function to design the parameters of PID controller and we study the performance analysis of fractionalized PID controller over integer order PID controller.]]>
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var str = 'Bensafia, Yassine';
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]]>
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var str = 'Khettab, Khatir';
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var str = 'Idir, Abdelhakim';
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]]>
Algerian Journal of Signals and Systems ; Vol. 7 No. 1 (2022): AJSS; 21-26]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v7i1]]>
Laboratory of Signals and Systems, Algeria]]>
2022-03-31]]>
Copyright (c) 2022 Yassine Bensafia, Khatir Khettab, Abdelhakim Idir]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/149/134]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/149]]>
10.51485/ajss.v7i1.149]]>
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var str = 'Comparison study among the different existing loss of excitation protection schemes in synchronous generator';
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]]>
Loss Of Excitation (LOE)]]>
positive-offset mho element]]>
negative-offset mho element]]>
loading conditions]]>
Synchronous generator is the most important element of a power system and its fast and reliable protection is crucial. One of the most abnormal conditions in a generator is loss of excitation (LOE) which is harmful to both the generator and the power system. This condition should be detected and the generator isolated from the system to avoid generator damage as well as power system instability.
This work presents an experimental study and comparison of the two conventional LOE protection schemes, negative-offset and positive-offset mho element under different conditions. The results show that the two schemes can detect LOE fault under total or partial LOE conditions, however in terms of speed (fault detection time) the positive offset scheme is faster than the negative offset scheme under all loading conditions. Besides, the two LOE protection schemes are reliable and do not operate under power swing disturbances caused by any type of external faults.]]>
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var str = 'Bentarzi, Hamid';
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]]>
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var str = 'Mati, Ayache';
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]]>
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var str = 'MAUN, Jean-Claude';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 206-213]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 Hamid Bentarzi, Ayache Mati, Jean-Claude MAUN]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/146/129]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/146]]>
10.51485/ajss.v6i4.146]]>
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var str = 'A New Frame Work of Real-Time Charaterization Battery Platform';
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]]>
Battery]]>
Modelling]]>
Characterization Methods]]>
State of Charge]]>
Batteries play an important role in the performance enhancement of power grids including renewable energy systems. In order to attain the rated service life and the longest possible run time of a battery, it is necessary to be monitored and maintained. This needs for an effective real-time characterization platform. Therefore, this paper presents a new frame work of a real-time battery monitoring system that will be able to provide the user with battery parameters as well as a recording file of the instantaneous variables values. To perform this task, a PC based platform associated with acquisition board is developed to automate the battery characterization system.
A graphical user interface (GUI) that allows users to read the Open Circuit Voltage (OCV), current, and ambient temperature of the battery during its charging or discharging is developed using Labview software. It is easy and possible for data to be recorded, including voltage, current, during both charging and discharging process. These recording experimental data can be used for a precise and efficient estimation of the state of charge as well as for aging study.]]>
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var str = 'Bentarzi, Hamid';
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]]>
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var str = 'LITOUFI, Mahdi Abdenour';
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]]>
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var str = 'TAIR, Nazim';
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]]>
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var str = 'AZZOUNI, Tarek';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 192-198]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 Hamid Bentarzi, Mahdi Abdenour LITOUFI, Nazim TAIR, Tarek AZZOUNI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/145/127]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/145]]>
10.51485/ajss.v6i4.145]]>
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var str = 'Wide-Area Network State Monitoring System Based On LoRa Communication';
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]]>
WAMS, State Monitoring, Communication, SISO, MIMO, LoRa, BER]]>
To meet the requirements of long range, small amount of data transmission, better data correctnessand less delay,a wide-Area Network State Monitoring System approach based on LoRa communication is discussed in our Project. The objective is to study and test the performance of Two communication techniques used in wide area monitoring system, a single input single output (SISO) system and a multiple input multiple output system (MIMO) in terms ofBit Error Rate(BER) with varying the signal to noise Ratio(SNR).In addition, we study the Wide Area Monitoring system based on LoRa communication. The IEEE 14-bus power system with Phasor Measurement Units(PMUs) placed at selected buses is considered. The simulation results demonstrate that the MIMO system outperform the SISO system in terms of Bit Error Rate. Furthermore, the value of the reporting rate has been varied for both systems in MATLAB to see the effect on the data correctness and the results show that the Bit Error Rate value decreases with the increase of reporting rate.Finally, we dealt with a modified LoRa MATLAB code emulator to investigate the data error and delay. The results show that LoRa Technology has better performance in terms of delay and error.]]>
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var str = 'Recioui, AEM';
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]]>
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var str = 'Mokhbi, Yasser';
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]]>
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var str = 'Mecheri, Aymen';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 214-219]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 AEM Recioui, Yasser Mokhbi, Aymen Mecheri]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/144/130]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/144]]>
10.51485/ajss.v6i4.144]]>
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var str = 'A review on solar radiation assessment and forecasting in Algeria: (Part 2; Solar radiation forecasting)';
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]]>
Solar radiation, forecasting models, forward prediction models.]]>
Solar radiation forecasting is an important component in many areas related to either the production or exploitation of renewable energies. This field has attracted the attention of many Algerian researchers due to its important solar potential specially in the southern desert areas. In a comprehensive review of the works in this domain, we propose a comprehensive review of the different models and studies for predicting solar radiation in Algeria. Various techniques have been proposed including artificial stochastic models and intelligence.]]>
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var str = 'Kabouche, Nourdine';
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]]>
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var str = 'Chellali, Farouk';
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]]>
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var str = 'Recioui, AEM';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 130-146]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 Nourdine Kabouche, Farouk Chellali, AEM Recioui]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/141/120]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/141]]>
10.51485/ajss.v6i3.141]]>
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var str = 'Optimal Placement of Fault Passage Indicators in Distribution Networks using Genetic Algorithms';
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]]>
Fault Passage Indicators]]>
placement]]>
distribution systems]]>
optimization]]>
genetic algorithms]]>
Fault Passage Indicators (FPIs); also named Faulted Circuit Indicators (FCIs), have been under development for the last 70 years including new capabilities to satisfy the needs of the distribution network operators. In order to improve system stability, these devices can be deployed along the feeder to reduce, or even eliminate, the uncertainty about the fault location. The number and location of FPIs affects the network reliability that can lead to extra charge on the distribution companies as well as the consumers. In this work, the optimal number and location of fault passage indicators in Power Distribution Networks (PDN) are determined. The problem is cast as an optimization task with a special economical combined objective function and solved using the genetic algorithms. The work has been tested on the two case studies, IEEE 9 bus and IEEE 33 bus systems.]]>
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var str = 'Recioui, AEM';
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]]>
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var str = 'Merdj, Mounir';
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]]>
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var str = 'Kamli, Anouar';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 181-191]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 AEM Recioui, Mounir Merdj, Anouar Kamli]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/139/128]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/139]]>
10.51485/ajss.v6i4.139]]>
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var str = 'Load Balancing in Smart Grids using Multi-Objective Evolutionary Optimization';
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]]>
Load balancing]]>
Renewable energies]]>
Multi-objective evolutionary optimization]]>
The work deals with the balance between the supplied and consumed power in a residential area. An optimization task is formulated and solved. The extension of the optimization task formulation to include renewable sources is also provided. It is shown in the results that using the deployed optimization technique, a significant reduction in the energy usage cost and the waiting time of the appliances (delay) for residential consumers can be achieved. This work can be used in smart home and smart cities applications.]]>
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var str = 'Bouaraki, Mouloud';
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]]>
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var str = 'Dekhandji, Fatma Zohra';
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]]>
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var str = 'Abdi, Lina Amel';
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]]>
var options = {
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var str = 'Recioui, AEM';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 147-156]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 Mouloud Bouaraki, Fatma Zohra Dekhandji, Lina Amel Abdi, AEM Recioui]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/138/121]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/138]]>
10.51485/ajss.v6i3.138]]>
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var str = 'Improvement of Voltage Profile by Optimal Integration of PV-DG in Distribution Power System';
document.write(linkifyHtml(str, options));
]]>
Integrating Distributed Generation (DG) based on renewable energy sources such as Photovoltaic (PV), has become one of the government's priorities in the use of clean energy on a large scale. Since the radial power system is not completely prepared for high injection of PV-DG, the optimization method has to be applied to PV-DG. This paper aims to find the optimal location and size of the PV-DG to improve the voltage profile using the Biogeography-Based Optimization algorithm (BBOA). Due to the voltage problems occurs more at low voltage in nature than the high voltage, BBOA is implemented on the 10, 69, 85, and 118 bus IEEE distribution systems using the MATLAB code. The results of this study show that the voltage profiles in all different power systems are improved.]]>
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]]>
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var str = 'Cetin, Numan';
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]]>
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]]>
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var str = 'Zine, Rabie';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 4 (2021); 199-205]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i4]]>
Laboratory of Signals and Systems, Algeria]]>
2021-12-31]]>
Copyright (c) 2021 raimon bawazir, Numan Cetin, Mustafa Mosbah, Salem Arif, Rabie Zine]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/137/126]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/137]]>
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var str = 'Design of Microstrip Low-pass and Band-pass Filters using Artificial Neural Networks';
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artificial neural network model, microstrip low-pass and band-pass filters, parallel coupled-line, stepped impedance.]]>
Usually the design of microstrip filters is done using simulators and classical approximation methods as Butterworth and Chebyshev, these techniques takes a lot of time to run for designing filters. In this paper we develop a faster artificial neural network model for designing a microstrip low-pass and band-pass filters for all rang of operating frequency , when the input are the dimensions of filter, operating frequency, the features of substrate, and the output are the transmission and reflection coefficients. The database uses for training this model is generated by a linear simulator based on circuits model. Two filters designed by the developed model are a stepped impedance low-pass filter with a cut-off frequency of 1 GHz and a parallel coupled-line band-pass filter with fractional bandwidth of 25 % and a central frequency of 2.45 GHz. The results of simulation are compared with desired results and the effectiveness of this method has been proven.]]>
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var str = 'HATHAT, AHMED';
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]]>
Algerian Journal of Signals and Systems ; Vol. 6 No. 3 (2021): AJSS; 157-162]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v6i3]]>
Laboratory of Signals and Systems, Algeria]]>
2021-09-30]]>
Copyright (c) 2021 AHMED HATHAT]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/134/122]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/134]]>
10.51485/ajss.v6i3.134]]>