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Eng. Proc., 2023, ICCEIS 2022

The 2nd International Conference on Computational Engineering and Intelligent Systems

Online | 18–20 November 2022

Volume Editors:
Abdelmadjid Recioui, University M’hamed Bougara of Boumerdes, Algeria
Hamid Bentarzi, University M’hamed Bougara, Algeria
Fatma Zohra Dekhandji, University M’hamed Bougara of Boumerdes, Algeria

Number of Papers: 19

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Cover Story (view full-size image): Multidisciplinary Engineering is a currently proliferating area in which focus is put on engineering practice by combining several academic disciplines. Computational engineering is a modern and [...] Read more.
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Editorial

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1 pages, 173 KiB  
Editorial
Statement of Peer Review
by Abdelmadjid Recioui, Hamid Bentarzi and Fatma Zohra Dekhandji
Eng. Proc. 2023, 29(1), 18; https://doi.org/10.3390/engproc2023029018 - 20 Jun 2023
Viewed by 432
Abstract
In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...] Full article
3 pages, 187 KiB  
Editorial
The Second International Conference on Computational Engineering and Intelligent Systems (ICCEIS2022)
by Abdelmadjid Recioui, Hamid Bentarzi and Fatma Zohra Dekhandji
Eng. Proc. 2023, 29(1), 19; https://doi.org/10.3390/engproc2023029019 - 20 Jun 2023
Viewed by 803
Abstract
Multidisciplinary engineering is currently a proliferating area, whereby focus is placed upon an engineering practice which combines several academic disciplines [...] Full article

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Jump to: Editorial

6 pages, 1243 KiB  
Proceeding Paper
Opportunistic Load Balancing for Virtual Machines Scheduling in a Cloud Environment
by Younes Khair and Haouari Benlabbes
Eng. Proc. 2023, 29(1), 1; https://doi.org/10.3390/engproc2023029001 - 10 Jan 2023
Cited by 2 | Viewed by 1155
Abstract
One of the Internet’s fastest-growing technologies is cloud computing, which needs each user to share various resources and virtual computers to access the services they demand. The difficulty is in allocating the user’s tasks among the many resources at hand while maintaining a [...] Read more.
One of the Internet’s fastest-growing technologies is cloud computing, which needs each user to share various resources and virtual computers to access the services they demand. The difficulty is in allocating the user’s tasks among the many resources at hand while maintaining a balanced workload. In this work, we present the design of a new scheduling approach for cloud virtual machines in order to process events (related to resource overuse or underuse). This reduces the amount of effort consumed while maintaining the required performance levels in the cloud data center. To evaluate the effectiveness of the approach with real load paths, we conducted an experiment using the open-source cloud computing platform OpenNebula. Full article
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7 pages, 1394 KiB  
Proceeding Paper
Detection and Classification of Power Quality Disturbances Using LSTM
by Fatma Zohra Dekhandji, Abdelmadjid Recioui, Athmane Ladada and Taha Slimane Moulay Brahim
Eng. Proc. 2023, 29(1), 2; https://doi.org/10.3390/engproc2023029002 - 10 Jan 2023
Cited by 2 | Viewed by 1305
Abstract
The detection and diagnosis of power quality (PQ) issues are critical topics in the electrical power system’s generation, transmission, and distribution. Nonlinear loads, power electronic converters, system malfunctions, and switching events are the most common causes of PQ issues. The main purpose of [...] Read more.
The detection and diagnosis of power quality (PQ) issues are critical topics in the electrical power system’s generation, transmission, and distribution. Nonlinear loads, power electronic converters, system malfunctions, and switching events are the most common causes of PQ issues. The main purpose of this work is to use an artificial intelligence (AI) technique based on automatic feature extraction to discover and identify PQ difficulties. The AI technique consists of a dedicated architecture of the Long Short-Term Memory (LSTM) network, which is a special type of Recurrent Neural Network (RNN). Full article
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9 pages, 565 KiB  
Proceeding Paper
Observer Backstepping Design for Flight Control
by Ben Messaoud Safinaz, Belkheiri Mohammed and Belkheiri Ahmed
Eng. Proc. 2023, 29(1), 3; https://doi.org/10.3390/engproc2023029003 - 10 Jan 2023
Viewed by 847
Abstract
This paper presents observer backstepping as a new nonlinear flight control design framework. Flight control laws for general-purpose maneuvering in the presence of nonlinear lift and side forces are designed. The controlled variables are the angle of attack, the sideslip angle, and the [...] Read more.
This paper presents observer backstepping as a new nonlinear flight control design framework. Flight control laws for general-purpose maneuvering in the presence of nonlinear lift and side forces are designed. The controlled variables are the angle of attack, the sideslip angle, and the roll rate. The stability has been proved using Lyapunov stability criteria. Control laws were evaluated using realistic aircraft simulation models, with highly encouraging results. Full article
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10 pages, 4503 KiB  
Proceeding Paper
Suspension System Control Process for Buses with In-Wheel Motors
by Mohamed Belrzaeg, Abdussalam Ali Ahmed, Mohamed Mohamed Khaleel, Abdulgader Alsharif, Maamar Miftah Rahmah and Ahmed Salem Daw Alarga
Eng. Proc. 2023, 29(1), 4; https://doi.org/10.3390/engproc2023029004 - 11 Jan 2023
Viewed by 1261
Abstract
In the last few years, there has been considerable growth in in-wheel electric motors manufacturing and the number of electric buses operating around the world. As a result of this clear increase, competition between electric bus manufacturers is increasing to reach the best [...] Read more.
In the last few years, there has been considerable growth in in-wheel electric motors manufacturing and the number of electric buses operating around the world. As a result of this clear increase, competition between electric bus manufacturers is increasing to reach the best satisfaction and comfort for passengers. This paper aims to deliver significantly better results due to suspension system. This paper also aims to evaluate an active bus suspension system with an in-wheel electric motor and to show the effect of this motor on the performance of the bus’s suspension system. In this work, a quarter bus suspension system is simulated and modelled using Matlab software, in addition to using one of the well-known control technologies, which is the linear quadratic regulator (LQR). The results showed that the weight of the electric motors in the bus’s wheels had a slightly negative effect on passenger comfort, as the reason for this effect is because the electric motor increased the mass of the wheel. Full article
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10 pages, 2164 KiB  
Proceeding Paper
An Intelligent Optimization Algorithm for Scheduling the Required SIL Using Neural Network
by Naoual Batout, Riad Bendib and Youcef Zennir
Eng. Proc. 2023, 29(1), 5; https://doi.org/10.3390/engproc2023029005 - 11 Jan 2023
Viewed by 982
Abstract
The purpose of safety analysis is to ensure that hazards and risks that could be a possible source of harm and damage are reduced well enough by dealing with all phases of the safety lifecycle and design of suitable safety barriers. It is [...] Read more.
The purpose of safety analysis is to ensure that hazards and risks that could be a possible source of harm and damage are reduced well enough by dealing with all phases of the safety lifecycle and design of suitable safety barriers. It is known that any error or failure to perform the function of each proposed safety barrier can cause extreme damage to the environment, facilities and humans, and even loss of life. Therefore, it is necessary to ensure the effectiveness of the study or analysis. However, even with the major development in control system fields the problems of uncertainties, classification and optimization are still considered unsolved issues. In recent years several tools are developed based on artificial intelligence to deal with such difficulties. In this work, an approach based on Artificial Neural Networks (ANN) is developed to schedule the SIL values of the safety integrity functions (SIF) of an industrial-fired heater. The SIFs are first deduced from HAZOP study for the fired heater. The SIL risk of the consequences related to personnel health and safety, the economic SIL and environment SIL are considered as inputs of the multilayer network with a predefined hard limit activation function. Full article
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8 pages, 4180 KiB  
Proceeding Paper
Design of Type 2 Fuzzy Logic Controller for FESTO Process Workstation
by Bendib Riad, Mechhoud El-Arkam, Kassah Maroua, Kattouche Wiam and Zennir Youcef
Eng. Proc. 2023, 29(1), 6; https://doi.org/10.3390/engproc2023029006 - 11 Jan 2023
Viewed by 1268
Abstract
Fuzzy logic is the most effective mathematical solution that has been presented in the last few years to deal with the problems in which imprecise and uncertain data exist. It can be defined as a generalization of classical binary logic, which admits only [...] Read more.
Fuzzy logic is the most effective mathematical solution that has been presented in the last few years to deal with the problems in which imprecise and uncertain data exist. It can be defined as a generalization of classical binary logic, which admits only two logical states, true or false, by adding degrees of truth between the extreme values. Its basics were initiated by Lotfi Zadeh in the mid-1960s. However, in the last few years, a question was raised by different authors: yes, by using a fuzzy set or membership functions we can solve the problem of some kinds of uncertainties, but what is the situation in cases where the uncertainties exist in the membership function itself? To handle this situation, researchers introduce type 2 fuzzy logic. In our paper, we will introduce the design of a type 2 fuzzy logic controller to control the level in a FESTO process workstation. The mathematical model is first deduced, and after that the controller is designed. The simulation results show that the obtained controller gives very good transient characteristics for the system response work. Full article
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10 pages, 4104 KiB  
Proceeding Paper
Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms
by Chetioui Lotfi, Zennir Youcef, Arabi Marwa, Horst Schulte, Mechhoud El-Arkam and Bendib Riad
Eng. Proc. 2023, 29(1), 7; https://doi.org/10.3390/engproc2023029007 - 11 Jan 2023
Cited by 1 | Viewed by 815
Abstract
This paper describes the modeling and control of a high-power wind energy conversion system (WECS) using a variable speed doubly fed induction generator (DFIG) with the application of an MPPT method to obtain the maximum power from the system. We applied metaheuristic algorithms [...] Read more.
This paper describes the modeling and control of a high-power wind energy conversion system (WECS) using a variable speed doubly fed induction generator (DFIG) with the application of an MPPT method to obtain the maximum power from the system. We applied metaheuristic algorithms such as particle swarm optimization algorithms (PSO), Harris hawk optimization (HHO), and salp swarm algorithm (SSA) to optimize the speed sensor. The simulation results indicated that the MPPT method with the proposed optimized sensor could generate optimum rotor speed to achieve maximum power output. The simulation was developed using Matlab/Simulink. Full article
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7 pages, 2210 KiB  
Proceeding Paper
Risk Assessment in a Petrochemical Plant Using Socio-Technical Approaches (STAMP-STPA)
by Mechhoud El-Arkam, Bendib Riad, Aribi Aya and Zennir Youcef
Eng. Proc. 2023, 29(1), 8; https://doi.org/10.3390/engproc2023029008 - 11 Jan 2023
Cited by 1 | Viewed by 1242
Abstract
Major accidents continue to occur in chemical process industry, which may have serious consequences costing billion dollars and what is worse many human lives. That means the traditional Hazard analysis techniques are not becoming enough due to the increasing complexity of industrial plants. [...] Read more.
Major accidents continue to occur in chemical process industry, which may have serious consequences costing billion dollars and what is worse many human lives. That means the traditional Hazard analysis techniques are not becoming enough due to the increasing complexity of industrial plants. The main objective of this work is to present a new accident analysis technique based on system theory that has been developed lately changing the focus from reliability to system theory, in order to improve safety and for a better manage of risk. The considered is High Density Polyethylene plant which located in the Skikda industrial zone. Full article
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10 pages, 910 KiB  
Proceeding Paper
ACO-Based Optimal MIMO Sliding Mode Controller Design for a New Reconfigurable Unmanned Aerial Vehicle
by Khedidja Bouhabza, Mohamed Guiatni, Yasser Bouzid and Mustapha Hamerlain
Eng. Proc. 2023, 29(1), 9; https://doi.org/10.3390/engproc2023029009 - 11 Jan 2023
Viewed by 897
Abstract
The Optimized Multiple Inputs and Multiple Outputs Sliding Mode controller (MIMO-SMC) is intended to control the reconfigurable UAV, which can take on a variety of configurations while maintaining the efficiency of a conventional quadrotor in terms of hovering and precision handling. The Ant [...] Read more.
The Optimized Multiple Inputs and Multiple Outputs Sliding Mode controller (MIMO-SMC) is intended to control the reconfigurable UAV, which can take on a variety of configurations while maintaining the efficiency of a conventional quadrotor in terms of hovering and precision handling. The Ant Colony optimization algorithm is used to calculate controller gains and to ensure optimal performance, such as small errors and lower energy consumption. The control goal is to allow the proposed UAV to track its trajectory for various configurations in the face of uncertain parameters to impose the position, altitude, and yaw angle while stabilizing its roll and pitch angles. Finally, simulation results are used to demonstrate the efficiency and performance of the proposed controller, and we calculate the energy consumption for each configuration. Full article
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6 pages, 979 KiB  
Proceeding Paper
Multiobjective Optimization of the Performance of Safety Systems
by Boukrouma Houcem Eddine, Bendib Riad, Zennir Youcef and Mechhoud El-Arkam
Eng. Proc. 2023, 29(1), 10; https://doi.org/10.3390/engproc2023029010 - 13 Jan 2023
Cited by 1 | Viewed by 850
Abstract
The activation of the safety-instrumented systems in industrial processes is carried out after the occurrence of specific deviations (dangerous situations) from normal operation (normal situations), but in some cases, the safety-instrumented systems are activated in the absence of deviations or requests; these are [...] Read more.
The activation of the safety-instrumented systems in industrial processes is carried out after the occurrence of specific deviations (dangerous situations) from normal operation (normal situations), but in some cases, the safety-instrumented systems are activated in the absence of deviations or requests; these are the unwanted activations. The system chosen in this study is a system with high-pressure gas and inflammable gas, and it is protected by a firefighting system that prevents any kind of accident in order to protect humans, systems, and the environment. The activation of the emergency shutdown system causes stoppage of the whole system by closing the input and output valves. This paper presents the optimization of the voting redundancies of safety-instrumented systems by a multiobjective genetic algorithm. The objectives to optimize are the average probability of dangerous failure on demand, which represents the system safety integrity, and the spurious trip rate, which presents the activation of a safety function without the presence of a demand. Full article
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9 pages, 2133 KiB  
Proceeding Paper
Short-Term Wind Forecasting in Adrar, Algeria, Using a Combined System
by Farouk Chellali
Eng. Proc. 2023, 29(1), 11; https://doi.org/10.3390/engproc2023029011 - 13 Jan 2023
Viewed by 783
Abstract
Forecasting wind speed using only one single model may not be satisfactory; however, the combination of several models may provide better results, especially in case of doubt about the best estimator (predicator). In this paper, we propose a short-term forecasting system in order [...] Read more.
Forecasting wind speed using only one single model may not be satisfactory; however, the combination of several models may provide better results, especially in case of doubt about the best estimator (predicator). In this paper, we propose a short-term forecasting system in order predict the hourly averaged wind speed (HAWS) in the region of Adrar, Algeria. The proposed system is based on adaptive combination of two different models. The first model is an ARMA-based model, while the second model is an artificial neural network ANN-based model. To allow adaptive combination, models are associated to time varying coefficients that are updated recursively using the recursive least square algorithm (RLS). Numerical simulations have shown that for few hours in advance, the prediction error of the combined system is lower or at least equal to the best estimator. Full article
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9 pages, 3874 KiB  
Proceeding Paper
Implementation of Battery Characterization System
by Abdelaziz Zermout, Hadjira Belaidi and Ahmed Maache
Eng. Proc. 2023, 29(1), 12; https://doi.org/10.3390/engproc2023029012 - 16 Jan 2023
Cited by 1 | Viewed by 1040
Abstract
The successful transfer toward green renewable energy depends heavily on good, reliable Energy Storage Systems (ESS). Lithium-ion batteries are the preferred choice for many applications; however, they need careful management, especially an accurate State-Of-Charge (SOC) estimation. Hence, in this paper an overview of [...] Read more.
The successful transfer toward green renewable energy depends heavily on good, reliable Energy Storage Systems (ESS). Lithium-ion batteries are the preferred choice for many applications; however, they need careful management, especially an accurate State-Of-Charge (SOC) estimation. Hence, in this paper an overview of some SOC estimation methods is briefly described; then, an automated battery cell test system prototype that will enable further improvement is designed and implemented. Some tests are conducted on an aged lithium-ion cell and the obtained results are satisfactory and accurate with an error of around 0.5 × 10−3 (V or A), thus validating the proposed prototype. Full article
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10 pages, 4165 KiB  
Proceeding Paper
Optimization of a Speed Controller of a DFIM with Metaheuristic Algorithms
by Chetioui Lotfi, Zennir Youcef, Arabi Marwa, Horst Schulte, Bendib Riad and Mechhoud El-Arkam
Eng. Proc. 2023, 29(1), 13; https://doi.org/10.3390/engproc2023029013 - 16 Jan 2023
Cited by 2 | Viewed by 795
Abstract
This study proposes a control architecture based on iterative stochastic algorithms to control the doubly-fed induction machine (DFIM), often used in wind systems. We briefly present the modeling of this machine. We describe in more detail the control architecture based on indirect vector [...] Read more.
This study proposes a control architecture based on iterative stochastic algorithms to control the doubly-fed induction machine (DFIM), often used in wind systems. We briefly present the modeling of this machine. We describe in more detail the control architecture based on indirect vector control by flux orientation (IFOC). This control architecture is optimized with the application of iterative stochastic algorithms applied to the speed controller. The optimization algorithms used were Particle Swarm Optimization (PSO), Harris Hawk Optimization (HHO) and Salp Swarm Algorithm (SSA). A comparative study under Matlab/Simulink between the different results obtained clearly shows the effectiveness of our approach. Full article
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8 pages, 517 KiB  
Proceeding Paper
High Gain Observer Based Active Disturbance Estimation ADE for Second Order Nonlinear Uncertain Systems (ex:Induction Motor)
by Saad Kelam, Mohamed Chennafa, Mohamed Belkheiri and Mohamed Amine Zaafrane
Eng. Proc. 2023, 29(1), 14; https://doi.org/10.3390/engproc2023029014 - 17 Jan 2023
Viewed by 797
Abstract
The main objective of this paper is to solve state observation and external disturbances estimation for a class of second-order nonlinear systems. The proposed method relies mainly on the high gain observer as an estimator that tries to estimate the state vector and [...] Read more.
The main objective of this paper is to solve state observation and external disturbances estimation for a class of second-order nonlinear systems. The proposed method relies mainly on the high gain observer as an estimator that tries to estimate the state vector and at the same time identifies the system’s unknown combined structured and unstructured uncertainties. The efficiency of the proposed method is demonstrated by estimating the flux and the speed of the induction motor by simulation. Full article
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10 pages, 3517 KiB  
Proceeding Paper
Pricing Policy Applied to Power Quality Enhancement in Smart Metering Systems
by Abdelmadjid Recioui and Fatma Zohra Dekhandji
Eng. Proc. 2023, 29(1), 15; https://doi.org/10.3390/engproc2023029015 - 18 Jan 2023
Cited by 1 | Viewed by 1105
Abstract
Power quality problems exist in every power system; the more advanced the system is, the higher the probability for issues to occur is, and the smart grid is no exception. In this paper, a study of a residential area is implemented using the [...] Read more.
Power quality problems exist in every power system; the more advanced the system is, the higher the probability for issues to occur is, and the smart grid is no exception. In this paper, a study of a residential area is implemented using the LABVIEW simulation software, in which the power of each house with its own appliances is monitored in real time, meaning the power of the whole system is also monitored, including instantaneous and accumulative power, current, power factor—all elements required for system assessment. In addition, a billing policy of each individual house to see the total price to be paid for the power supplied is also devised. All these factors contribute to the analysis and overview of the effect of power quality problems on the grid, both electrically and economically. The results of the simulation indicate that the pricing policy proposed is indeed effective for both sides of the grid, the supplier and the consumer. Full article
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11 pages, 2222 KiB  
Proceeding Paper
Photovoltaic Panel Parameters Estimation Using an Opposition Based Initialization Particle Swarm Optimization
by Cilina Touabi, Abderrahmane Ouadi and Hamid Bentarzi
Eng. Proc. 2023, 29(1), 16; https://doi.org/10.3390/engproc2023029016 - 03 Feb 2023
Cited by 5 | Viewed by 1091
Abstract
A photovoltaic (PV) cell is generally used as renewable energy source. For an accurate study of various PV applications, modeling this basic device in a PV generator is essential. However, the manufacturers do not usually provide the model parameters and their values vary [...] Read more.
A photovoltaic (PV) cell is generally used as renewable energy source. For an accurate study of various PV applications, modeling this basic device in a PV generator is essential. However, the manufacturers do not usually provide the model parameters and their values vary over time due to PV degradation and the change in weather conditions. Thus, finding an optimal technique for estimating the appropriate parameters is crucial. This problem can be solved by metaheuristic optimization algorithms, namely particle swarm optimization (PSO). However, early convergence is the main defect of PSO. This work presents an enhancement in the optimization method (PSO) for identifying the optimal parameters of a PV generating unit. In this method, the identification of parameters of the single diode model is based on an opposition-based initialization particle swarm optimization technique. The optimization algorithm is implemented in MATLAB which gives good results. Full article
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6 pages, 3689 KiB  
Proceeding Paper
APF Applied on PV Conversion Chain Network Using FLC
by Bourourou Fares, Tadjer Sid Ahmed and Habi Idir
Eng. Proc. 2023, 29(1), 17; https://doi.org/10.3390/engproc2023029017 - 19 Apr 2023
Cited by 1 | Viewed by 474
Abstract
This paper focuses on regulation of the parallel active power filter (APF) Dc Voltage bus by judicious choice of rule bases and intervals for each selected fuzzy variable of suitable fuzzy logic controller. In addition, an algorithm describes the main steps for designing [...] Read more.
This paper focuses on regulation of the parallel active power filter (APF) Dc Voltage bus by judicious choice of rule bases and intervals for each selected fuzzy variable of suitable fuzzy logic controller. In addition, an algorithm describes the main steps for designing an FLC that has any number of rules with direct application to the APF capacitor voltage regulation. Where their simulation, by MATLAB, applied to PV conversion chain network will be represented in the booths cases, constant and variable non-linear loads after modeling, to show the effectiveness of this kind of regulators on electrical power quality and improve the reliability of the APF on PV system. The delivered voltage of PV plant has been regulated and controlled with MPPT using P&O technique and FLC regulator after modeling of each part of the conversion chain. PV plant supplies a nonlinear load from the rectifier installed on the output of the conversion chain via a controlled power inverter. A 3 × 3 rules fuzzy regulator is implanted in the control part of the APF to examine the influence of the FLC on the produced electrical power quality. Simulation results are represented and analyzed. Full article
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