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2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)最新文献

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Integration of multi-energy microgrid in an industrial activity zone 工业活动区多能微电网的集成
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765865
Jamel Eddine Boubakri, H. Cherif, J. Belhadj
This work presents a contribution to the analysis of the behavior and the control of the performance of a microgrid consisting of renewable photovoltaic and wind emergy sources equipped with storage batteries intended to supply an industrial load. To ensure better management of the system, energy models have developed to determine the power that sources can provide under given weather conditions. Management strategies have been adopted for the different scenarios to highlight role of the use of the storage means in connected mode for this system under the MATLAB/ SIMULINK environment. This study allowed us to guarantee the uninterrupted power supply as the optimal operation of the microgrid, and the safety of the battery. Technical reliability study was developed under a dynamic simulator based on the LPSP power loss concept, allowing us to size and select the best configuration.
本研究对由可再生光伏和风能组成的微电网的行为和性能控制的分析做出了贡献,该微电网配备了用于供应工业负荷的储能电池。为了确保更好地管理系统,能源模型已经开发出来,以确定在给定天气条件下能源可以提供的电力。针对不同的场景采用了管理策略,突出了在MATLAB/ SIMULINK环境下,本系统在连接模式下使用存储手段的作用。这项研究使我们能够保证微电网的不间断供电作为微电网的最佳运行,并保证电池的安全。在基于LPSP功率损耗概念的动态模拟器下进行了技术可靠性研究,使我们能够确定尺寸并选择最佳配置。
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引用次数: 1
Monitoring of a Railway Transport Networks Based on the Study of Effective Sojourn Time 基于有效停留时间研究的铁路运输网监测
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765834
A. Mhalla
The paper proposes a new approach for surveillance of a railway transport systems. The studied system is modeled by Stochastic P-time Petri Nets (SP-TPN). The proposed monitoring approach focuses on the study of effective sojourn time of the token in places. It aims, on the basis of the information available on its operating modes, to detect, locate and diagnose failures that may affect the transport system performance and the operational safety.
本文提出了一种铁路运输系统监控的新方法。所研究的系统采用随机p时间Petri网(SP-TPN)建模。所提出的监测方法侧重于研究代币在场所的有效停留时间。它的目的是根据有关其运作模式的现有资料,侦测、定位和诊断可能影响运输系统性能和运作安全的故障。
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引用次数: 0
Internal Model Control of underactuated mechanical systems, application to the inertia wheel inverted pendulum 欠驱动机械系统的内模控制,在惯性轮倒立摆中的应用
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765891
Ines Mahmoud, Imen Saidi
In this paper, an application of internal model control (IMC) on an underactuated system who is the inertia wheel inverted pendulum that exhibits unstable dynamics. The structure of the IMC has two nested controllers. The first controller ensures the stabilization of the system. The second controller ensures the tracking of reference trajectories. The simulation results are very satisfactory in terms of stability, accuracy and speed. The obtained controller is simple, is easy to implement in real time and presents good control and robustness performances.
本文研究了内模控制在动力学不稳定的惯性轮倒立摆欠驱动系统中的应用。IMC的结构有两个嵌套的控制器。第一个控制器保证了系统的稳定性。第二个控制器保证了参考轨迹的跟踪。仿真结果在稳定性、精度和速度方面都令人满意。所得到的控制器结构简单,易于实时实现,具有良好的控制性能和鲁棒性。
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引用次数: 0
A New Anomaly Detection Indexbased Moving Window Interval PCA 一种新的基于移动窗间隔PCA的异常检测方法
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765863
Imen Hamrouni, K. Abdellafou, Hajer Lahdhiri, O. Taouali, Kais Bouzrara
In this paper, a new fault detection index is used in the algorithm of moving window interval CIPCA. This later treats the interval data by making on consideration the uncertainties, the proposed approach is compared with the existing faultdetection index and possesses the best performance.
本文在移动窗间隔CIPCA算法中引入了一种新的故障检测指标。在对区间数据进行处理时考虑了不确定性,与现有的故障检测指标进行了比较,结果表明该方法具有最佳的检测性能。
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引用次数: 0
Contribution on the Combination of Artificial Neural Network and Incremental Conductance Method to MPPT Control Approach 人工神经网络与增量电导法相结合对MPPT控制方法的贡献
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765914
Noureddine Akoubi, J. B. Salem, L. El Amraoui
This paper proposes a robust approach to design a maximum power point tracking (MPPT) controller based on artificial neural networks (ANN). This approach is developed by combining the incremental conductance (IC) method and ANN. The first step presents the MPPT control system using the conventional IC method (MPPT_IC). Then, a second step proposes an algorithm exploiting the IC method to generate the appropriate training data for the ANN. The results show the ability of the ANN controller (MPPT_ANN) to provide the best control performance under various solar irradiance and temperature values. Its effectiveness of tracking has been compared to the traditional MPPT_IC controller. The test results presented show the performance of the proposed MPPT_ANN controller. The study results are simulated and validated by MATLAB/Simulink software.
提出了一种基于人工神经网络(ANN)的最大功率点跟踪(MPPT)控制器的鲁棒设计方法。该方法是将增量电导(IC)法与人工神经网络相结合而发展起来的。第一步介绍了采用传统集成电路方法(MPPT_IC)的MPPT控制系统。然后,第二步提出了一种利用IC方法为人工神经网络生成适当训练数据的算法。结果表明,该神经网络控制器(MPPT_ANN)在不同的太阳辐照度和温度下都能提供最佳的控制性能。并与传统的MPPT_IC控制器进行了跟踪效果的比较。实验结果表明了所提出的MPPT_ANN控制器的性能。利用MATLAB/Simulink软件对研究结果进行了仿真验证。
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引用次数: 4
Comparative Study of patch antennas for C-V2x Communication C-V2x通信贴片天线的比较研究
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765832
A. Jouini, S. Hasnaoui, A. Cherif
in this paper, we present a comparative study of patch antennas with six different shapes, namely rectangular, Insetfed, InvertedFcoplanar, InvertedLcoplanar, triangular, Circular. These antennas are implemented using Matlab software and are designed on FR4 material with a dielectric constant of 4.8 and a thickness of 2.03 mm. yet many parameters such as radiation pattern, S parameter and the gain of these antennas are compared. The operating frequency of all these antennas is taken at 5.9 GHz the frequency of C-v2x Communication.
在本文中,我们对六种不同形状的贴片天线进行了比较研究,即矩形、插入式、反共面、反共面、三角形、圆形。该天线采用介电常数为4.8、厚度为2.03 mm的FR4材料,利用Matlab软件实现,并对天线的辐射方向图、S参数、增益等参数进行了比较。所有这些天线的工作频率均为5.9 GHz,即C-v2x通信频率。
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引用次数: 2
A Smart Home Energy Consumption Optimisation Based on Multi-Constraints PSO Strategy 基于多约束粒子群策略的智能家居能耗优化
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765907
Marwa Ben Arab, M. Rekik, L. Krichen
The smart home, which is regarded as a key component of the smart grid consumption, uses innovative communication and information technologies in order to improve the reliability, stability, and efficiency of the electric system. Plug-in electric vehicle (PEV) which is a controllable component, has the flexibility of charging and discharging through a domestic charging socket at home. In this paper, a home energy management system optimisation HEMSO is suggested to arrive at an optimal scheduling of PEV in a smart home in order to smooth its power profile, obtaining a free charging of plug-in electric vehicles (PEV) and reducing the electricity bill. The proposed framework is implemented through Particle Swarm Optimization (PSO) algorithm to improve the efficacy of the proposed strategy.
智能家居被认为是智能电网消费的关键组成部分,它利用创新的通信和信息技术来提高电力系统的可靠性、稳定性和效率。插电式电动汽车(PEV)是一种可控部件,可以灵活地在家中通过家用充电插座进行充放电。本文提出了一种家庭能源管理系统优化HEMSO,以达到智能家庭中PEV的最优调度,使其电力分布平滑,从而获得插电式电动汽车(PEV)的免费充电并降低电费。通过粒子群优化(PSO)算法实现该框架,提高了该策略的有效性。
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引用次数: 0
Development of Simulation-Based Testing Scenario Generator for Robustness Verification of Autonomous Vehicles 基于仿真的自动驾驶汽车鲁棒性验证测试场景生成器的开发
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765910
H. Hsiang, Kuan-Chung Chen, Yung-Yuan Chen
This paper explores how to effectively increase the testing scenarios for robustness verification of autonomous vehicles by adjusting various traffic scenarios and different severity of quantifiable weather and interference parameters. The automated test and verification tools developed are based on the VTD vehicle simulation platform, which can quickly generate various weather conditions. In addition, considering the camera disturbed by the raindrops on windshield, we develop a faster and more realistic raindrop interference generation methodology, which can quantify the generation of different raindrop size, density, and flow interference, to enhance the realism and diversity of the testing scenarios of autonomous perception system. We demonstrate the usage of the proposed tools to generate the different testing scenarios under various weather conditions and interference. Then, the AI object detection models were tested under the generated testing scenarios to investigate the effect of raindrops on windshield on the robustness of the object detection model. The contribution of this work is to propose an effective simulation-based testing scenario generator to increase the test coverage and shorten the verification time of the robustness test of perception systems.
本文探讨了如何通过调整各种交通场景以及可量化天气和干扰参数的不同严重程度,有效地增加自动驾驶汽车鲁棒性验证的测试场景。开发的自动化测试和验证工具基于VTD车辆仿真平台,可以快速生成各种天气条件。此外,考虑到相机受到挡风玻璃上雨滴的干扰,我们开发了一种更快、更逼真的雨滴干扰生成方法,可以量化不同雨滴大小、密度和流量干扰的生成,以增强自主感知系统测试场景的真实感和多样性。我们演示了在各种天气条件和干扰下使用所提出的工具来生成不同的测试场景。然后,在生成的测试场景下对人工智能目标检测模型进行测试,研究雨点在挡风玻璃上对目标检测模型鲁棒性的影响。本文的贡献在于提出了一种有效的基于仿真的测试场景生成器,提高了感知系统鲁棒性测试的测试覆盖率,缩短了测试验证时间。
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引用次数: 1
Comparative Analysis of Hybrid Systems for on-grid and off-grid Applications in Tunisia: case study of Audiovisual chain 突尼斯并网与离网混合系统应用比较分析:音像链案例研究
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765947
S. Mohamed, Cherif Habib, Hasnaoui Othman, B. Jamel
In this paper, a techno-economic and environmental analysis was conducted to determine the feasibility of designing various models of hybrid power systems. Two hybrid systems (wind-solar with batteries) were developed: grid-connected and off-grid, with a diesel generator for emergency power. These configurations have been analysed using the Hybrid Multi-Energy Resource Optimization software which determine the emissions of pollutant gases, simulates and optimizes energy consumption according to energy demand and resources. For the financial analysis, the net present costs, O&M costs and Total Cost of Energy per unit were calculated. Both configurations were developed for the energy demand of an audiovisual chain. The results obtained show that the first system is the most cost effective due to for its implementation considering the energy production capacity, cost of energy, gas emissions and Net Present Cost.
本文进行了技术经济和环境分析,以确定设计各种混合动力系统模型的可行性。开发了两种混合系统(带电池的风能-太阳能):并网和离网,配有柴油发电机作为应急电源。使用混合多能源优化软件对这些配置进行了分析,该软件确定了污染气体的排放,并根据能源需求和资源模拟和优化了能源消耗。在财务分析中,计算了净现值成本、运维成本和单位总能源成本。这两种配置都是针对音像链的能源需求而开发的。结果表明,综合考虑能源生产能力、能源成本、气体排放和净当前成本,第一种系统的实施成本效益最高。
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引用次数: 0
Modeling of Three-Tank Hybrid System using Mixed Logical Dynamical formalism 基于混合逻辑动态形式的三罐混合系统建模
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765937
Hanen Yaakoubi, Joseph Haggège
This paper deals with the modeling of a three-tank system by using Mixed Logical Dynamical (MLD) formalism framework. The main goal of this study is to look for an adequate modeling approach for hybrid systems allowing the synthesis of control laws. This work is aligned to the Mixed Logical Dynamical approach devoted to hybrid dynamic systems (HDS), involving continuous behaviors and discrete events. The MATLAB and HYSDEL (Hybrid Systems Description Language) tools are used to simulate the MLD model of the considered Three-Tank Hybrid System (TTHS).
本文采用混合逻辑动力学(MLD)形式化框架研究了三罐系统的建模问题。本研究的主要目标是寻找一种适当的混合系统建模方法,允许综合控制律。这项工作与混合逻辑动力学方法相一致,致力于混合动态系统(HDS),涉及连续行为和离散事件。使用MATLAB和HYSDEL(混合系统描述语言)工具来模拟所考虑的三罐混合系统(TTHS)的MLD模型。
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引用次数: 0
期刊
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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