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Evaluation of forces in a racing simulator based on a Stewart platform 基于Stewart平台的赛车模拟器力评估
Q3 Engineering Pub Date : 2023-09-04 DOI: 10.29354/diag/171729
Jakub Tytuła, Arnold Zaremba, Szymon Nitkiewicz
This paper presents how forces are perceived in a racing simulator based on a Stewart Platform. By retrieving calculated forces in a racing game by its physics engine and comparing them to real-life measurements during the platforms motions it is possible to evaluate the platforms immersiveness. Virtual values extracted from the game engine are deemed satisfactory to their real life counterparts and serve as a baseline. In order to evaluate forces created by the simulator, a lap around a virtual test track is recorded and played back while an accelerometer and gyroscope record its movements. Overall, accelerations recorded in the direction of X and Y axis along with angular speed of rotation around the aforementioned those axis. To accurately comparing every derived force, the recorded virtual lap is divided into sections representing the five most common manoeuvres during racing. These comparisons serve as an evaluation method to measure the immersiveness of the simulator.
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引用次数: 0
A new improved control for power quality enhancement in double fed induction generator using iterative learning control 基于迭代学习控制的双馈感应发电机电能质量改进控制
Q3 Engineering Pub Date : 2023-08-21 DOI: 10.29354/diag/169462
Ooussama Belkacem Djaidja, H. Mekki, Samir Zeghlache, A. Djerioui
This work presents a new Fault Tolerant Control approach for a doubly fed induction generator using Iterative Learning Control when the fault occurs. The goal of this research is to apply the proposed ILC controller in conjunction with vector control for doubly fed induction generator to enhance its reliability and availability under broken rotor bars. However, the performances of classical VC control are often characterized by their inability to deal with the effects of faults. To overcome these drawbacks, a combination of VC control and iterative learning control is described. The input control signal of the VC controller is gradually regulated by the ILC harmonic compensator in order to eliminate the faults effect. The improvement of this approach related to active and reactive power ripples overshoot and response time have been explained. Which active and reactive power response time have been reduced more than 84% and 87.5 % respectively. The active and reactive power overshoots have been reduced about 45% and 35% respectively. The obtained results emphasize the efficiency and the ability of the proposed FTC to enhance the power quality in faulty condition.
本文提出了一种新的双馈感应发电机故障容错控制方法,该方法在故障发生时使用迭代学习控制。本研究的目标是将所提出的ILC控制器与矢量控制相结合应用于双馈感应发电机,以提高其在转子断条情况下的可靠性和可用性。然而,经典VC控制的性能往往以其无法处理故障影响为特征。为了克服这些缺点,描述了VC控制和迭代学习控制的结合。VC控制器的输入控制信号由ILC谐波补偿器逐渐调节,以消除故障影响。已经解释了这种方法在有功和无功功率纹波过冲和响应时间方面的改进。其中有功和无功响应时间分别减少了84%和87.5%以上。有功功率和无功功率过冲分别减少了约45%和35%。所获得的结果强调了所提出的FTC在故障条件下提高电能质量的效率和能力。
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引用次数: 0
The analysis of the different modeling in CST for predicting designs of a Monostatic and Bistatic RCS CST中预测单站和双站RCS设计的不同建模分析
Q3 Engineering Pub Date : 2023-08-18 DOI: 10.29354/diag/169423
A. Bekimetov, Madina Yangibaeva
In this, research paper, we analyzed different radar cross-sections and models in Computer Simulation Technology (CST) software and tell in advance the RCS of the layer. In this variation exploration and representation of antenna layout in CST, we make a decision on various polarized plane wave angles. The research results may influence aircraft and any vehicle building, connecting with the incorporation of magnetic and electrical part power going return, therefore the polarization of plane waves, the use of different materials, aircraft, and any vehicle size. For this article, a microstrip antenna design with a reduced monostatic (RCS) with changing angle is described. Radar recognizes a reflected signal from this target due to microwave sensors' capacity to adequately light it with energy. The research used several both basic and sophisticated targets at an unaccompanied median rate of occurrence. Two categories of target forms, basic and complicated, made of iron material, give an appearance for assessing RCS in two distinct systems, Monostatic and Bistatic, with a range of angles.
在本研究中,我们利用计算机仿真技术(Computer Simulation Technology, CST)软件对不同的雷达截面和模型进行了分析,并提前给出了层的RCS。在CST天线布局的变化探索和表示中,我们决定了不同的极化平面波角。研究结果可能会影响飞机和任何车辆的建造,与磁性和电气部分的结合功率走回,因此平面波的极化,不同材料的使用,飞机和任何车辆的尺寸。本文介绍了一种微带天线的减角单站天线设计。雷达识别来自这个目标的反射信号,因为微波传感器有能力用能量充分照亮它。这项研究使用了几个基本的和复杂的目标,它们的出现率都是中等的。两类目标形式,基本的和复杂的,由铁材料制成,给出了在两个不同的系统中评估RCS的外观,单稳态和双稳态,具有一系列的角度。
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引用次数: 0
The performance of IIoT communication standards IIoT通信标准的性能
Q3 Engineering Pub Date : 2023-07-19 DOI: 10.29354/diag/169033
Maciej Walczak, M. Hetmanczyk
The requirements of Industry 4.0 determine the necessity to change thinking in the field of production development, adopted management methods and modernisation of production resources. When planning the implementation of a new production system (or retrofit), it is possible to use the RAMI 4.0 reference model, which was published in April 2015 by the VDI/VDE Society Measurement and Automatic Control. A key aspect of modern industrial systems is connectivity and trouble-free data exchange. In the case of data exchange, the basic element holding back the development of Industry 4.0 is the lack of standardisation, as well as the lack of interoperability between IIoT network nodes. Modern IIoT applications require high network throughput, low latency and reliability. In view of such guidelines, efficient communication standards and specialised equipment are required. Edge Computing is one of the most important technology trends of the 21st century that will play a key role in the IIoT market. Due to the diversity of available technologies and solutions, no universal standards have been developed to date that can be referred to when planning, building and implementing new applications. The article presents an overview of the most popular industrial communication protocols and their systematisation in terms of meet the requirements for IIoT devices.
工业4.0的要求决定了在生产发展、采用的管理方法和生产资源现代化领域改变思维的必要性。在计划实施新的生产系统(或改造)时,可以使用2015年4月由VDI/VDE测量与自动控制协会发布的RAMI 4.0参考模型。现代工业系统的一个关键方面是连接和无故障的数据交换。在数据交换的情况下,阻碍工业4.0发展的基本因素是缺乏标准化,以及IIoT网络节点之间缺乏互操作性。现代IIoT应用程序要求高网络吞吐量、低延迟和可靠性。鉴于这些准则,需要有效的通信标准和专门的设备。边缘计算是21世纪最重要的技术趋势之一,将在IIoT市场发挥关键作用。由于现有技术和解决方案的多样性,迄今为止还没有制定出在规划、构建和实施新应用程序时可以参考的通用标准。本文概述了最流行的工业通信协议及其系统化,以满足IIoT设备的要求。
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引用次数: 0
Monitoring of engine oil degradation and possiblities of life predictions in combustion engine 内燃机机油退化监测与寿命预测的可能性
Q3 Engineering Pub Date : 2023-07-18 DOI: 10.29354/diag/169032
Pavol Lukášik
The article entitled Monitoring of engine oil degradation and possibilities of life prediction in combustion engine deals with chronological monitoring of engine oil on the monitored object - a passenger car with a petrol engine. The research concerns the basic physico-chemical parameters of motor oil, where it discusses the operational factors that contribute to its degradation. The theoretical part of the thesis deals with the analysis of the current state of the problem in the chemical composition of engine oils, analysis of the current state of contact indicators of oil quality in lubrication systems of internal combustion engines and analysis of contactless systems "live" evaluating engine oil quality during vehicle operation. The research part of the work includes the collection of operational data, laboratory analysis of oil samples and statistical processing of the results of tribodiagnostic monitoring. This article discusses the 1st phase of extensive long-term research in the field of tribology and operation of the Mitsubishi Lancer 1.5 Inform motor vehicle
题为《发动机机油降解监测和内燃机寿命预测的可能性》的文章论述了对监测对象——一辆装有汽油发动机的乘用车——发动机油的时间监测。该研究涉及机油的基本物理化学参数,并讨论了导致机油降解的操作因素。本文的理论部分分析了机油化学成分问题的现状,分析了内燃机润滑系统中机油质量接触指标的现状,并分析了非接触系统在车辆运行过程中对机油质量的“实时”评估。工作的研究部分包括操作数据的收集、油样的实验室分析和摩擦诊断监测结果的统计处理。本文讨论了三菱Lancer 1.5 Inform汽车摩擦学和操作领域长期广泛研究的第一阶段
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引用次数: 0
Train detection methods as the foundation of positioning systems of railroad traffic control 列车检测方法是铁路交通控制定位系统的基础
Q3 Engineering Pub Date : 2023-07-09 DOI: 10.29354/diag/168655
M. Steuer, Martin Krzykawski, D. Simiński, Wongelawit Chema, R. Burdzik
Detection of the current location of rail vehicles in the railway infrastructure network determines the safety, efficiency and reliability of rail transport. In addition, it indirectly affects the safety at rail-road crossings, i.e. also the BRD (Road Safety). In terms of efficiency and reliability of transport systems, the ability to detect a moving vehicle can improve the effective capacity of railway lines. As in the case of technical diagnostics, effective recognition of the current state of the transport network determines the efficiency of the transport system. The development of railways, with particular emphasis on high-speed railways, makes it necessary to modernize and improve railway traffic control devices and systems. A special area of development, ensuring the safe and effective use of rail transport, is the detection and location of rail vehicles moving on the railway infrastructure. The ability to determine the precise location of a rail vehicle is a key element in the reliable operation of rail transport. Therefore, in the field of devices and systems for the detection and location of rail vehicles, many studies and analyzes are carried out to develop existing or create new solutions dedicated to positioning rail vehicles.
铁路基础设施网络中轨道车辆当前位置的检测决定了铁路运输的安全性、效率和可靠性。此外,它还间接影响铁路道口的安全,即道路安全。就运输系统的效率和可靠性而言,检测移动车辆的能力可以提高铁路线的有效容量。与技术诊断一样,对运输网络当前状态的有效识别决定了运输系统的效率。铁路的发展,特别是高速铁路的发展使得有必要对铁路交通控制设备和系统进行现代化和改进。确保铁路运输安全有效使用的一个特殊发展领域是检测和定位在铁路基础设施上行驶的铁路车辆。确定铁路车辆精确位置的能力是铁路运输可靠运行的关键因素。因此,在用于轨道车辆检测和定位的设备和系统领域,进行了许多研究和分析,以开发现有的或创建专门用于定位轨道车辆的新解决方案。
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引用次数: 0
Internet of autonomous vehicles communication infrastructure: A short review 自动驾驶汽车互联网通信基础设施综述
Q3 Engineering Pub Date : 2023-06-28 DOI: 10.29354/diag/168310
Mustafa Haitham Alhabib, Qutaiba Ibrahim Ali
Recent years have witnessed increased attention towards vehicular communications as a part of an overall modernization trend towards the emergence of a reliable, less human-dependent, and more efficient Intelligent Transportation System (ITS) conjugated with the rapid growth of smart cities. ITS imposes better safety and security through the employment of Autonomous Vehicles (AV) to reduce the possibility of accidents caused due to human intervention. The application of autonomous vehicles to the traditional Vehicular Ad-hoc Networks (VANET) has paved the way for the development of a newer networking paradigm called the Internet of Autonomous Vehicles (IoAV). IoAV enjoys several advantages over VANET in terms of robustness, security, and scalability. However, due to the gradual transition from existing vehicles to autonomous ones, both types may be going to coexist together in the same environment. Therefore, a reliable, fast responsive, and flexible infrastructure is necessary to serve both kinds in such a hybrid setting until the transition to all AV is completed. In this context, this paper represents a concise review of the architecture of IoAV infrastructure, its communication modules, message dissemination, protocols and services that comprise the main body of the IoAV framework, in addition to further remarks and research challenges.
近年来,随着智能城市的快速发展,越来越多的人关注车载通信,这是整体现代化趋势的一部分,朝着可靠、较少依赖人类、更高效的智能交通系统(ITS)的出现而发展。智能交通系统通过使用自动驾驶汽车(AV)来提高安全性,以减少由于人为干预造成事故的可能性。自动驾驶汽车在传统车辆自组织网络(VANET)中的应用为一种名为自动驾驶汽车互联网(IoAV)的新型网络范式的发展铺平了道路。与VANET相比,IoAV在健壮性、安全性和可扩展性方面具有几个优势。然而,由于从现有车辆到自动驾驶汽车的逐步过渡,这两种类型可能会在同一环境中共存。因此,在向所有自动驾驶的过渡完成之前,需要一个可靠、快速响应和灵活的基础设施来为这种混合环境中的两种类型提供服务。在此背景下,本文简要回顾了构成IoAV框架主体的IoAV基础设施体系结构、通信模块、消息传播、协议和服务,以及进一步的评论和研究挑战。
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引用次数: 0
Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller 用区间2型模糊控制器反步控制双馈异步电动机的速度控制
Q3 Engineering Pub Date : 2023-06-28 DOI: 10.29354/diag/166460
A. Herizi, R. Rouabhi, A. Zemmit
The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.
双馈感应电机的控制是一项复杂的操作,因为该电机具有非线性多变量动力学的特点,具有随时间变化的设置,并且机械部件与磁行为(通量)(速度和耦合)之间存在重要联系。然后,本文提出了一种新的电机鲁棒控制策略,该策略根据定子磁通的方向解耦。该控制与基于李雅普诺夫理论的反推控制相结合;该方法包括通过将一些状态变量视为虚拟命令,以及人工智能2型模糊逻辑的重要分支,构造性地设计非线性系统的控制律。混合控制反步模糊逻辑是将应用于反步控制的调节器替换为基于2型模糊逻辑的调节器。在存在参数和非参数变化的情况下,将通过多次模拟对该控制进行评估。
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引用次数: 0
Numerical investigation on the vibration reduction of rotating shaft ‎using different groove shapes of tilt bearing‎ 转轴减振的数值研究‎使用倾斜轴承的不同凹槽形状‎
Q3 Engineering Pub Date : 2023-06-17 DOI: 10.29354/diag/168084
Ahmed Imad Abbood, F. A. Abdulla
Vibration control is very important for high-speed rotors. Oil film damping is considered an effective vibration-damping method, especially for long shafts in gas turbines, ships, and other high-speed rotating equipment. The existing groove in the internal surface of the tilt bearing increases the amount of oil that flows through the bearing; this is more effective in suppressing the vibration of the rotor system carried by the plain bearing. In order to suppress the vibration of the rotor system, which is supported by sliding bearings, a different groove-shaped oil flow (GSOF) is studied and analysed in this paper. A different shape of grooves in bearings was set up and measured to study the vibration-damping effect of the flow oil shape with GSOF. ANSYS software presents significant benefits to engage Fluent for oil flow with Transient structural for vibration measurements. This paper uses these terms to perform the simulation numerically to explore the groove-shaped damper's damping effect under the rotor system. The study identified three enhancements of vibration and settling time. First, the circular groove showed a 35.71% reduction in amplitude and 10% increase in stilling time; the next one is the circular groove which reduced the amplitude by 42.85% and the settling time by 0%. The third modification was the inclined groove which reduced the amplitude by 42.85% and the settling time by 12%. The last one was the triple-inclined groove, which reduced the amplitude and settling time by 57.14% and 20%, respectively.
高速转子的振动控制是一个非常重要的问题。油膜阻尼被认为是一种有效的减振方法,特别是对于燃气轮机、船舶和其他高速旋转设备中的长轴。倾斜轴承内表面现有的沟槽增加了流经轴承的油量;这样可以更有效地抑制滑动轴承承载的转子系统的振动。为了抑制由滑动轴承支撑的转子系统的振动,本文对不同槽形油流进行了研究和分析。通过在轴承上设置不同形状的沟槽,并对其进行了测量,研究了流油形状对GSOF的减振效果。ANSYS软件将Fluent用于油流和瞬态结构的振动测量。本文利用这些术语进行数值模拟,探讨槽型阻尼器在转子系统下的阻尼效果。研究确定了三种增强振动和沉降时间的方法。首先,圆槽的振幅减小了35.71%,静振时间增加了10%;其次是圆形槽,其振幅降低了42.85%,沉降时间减少了0%。第三种修正是斜槽,其振幅降低42.85%,沉降时间缩短12%。最后一种是三斜槽,其振幅和沉降时间分别减少了57.14%和20%。
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引用次数: 0
Fault detection and diagnosis of photovoltaic system based on neural networks approach 基于神经网络的光伏系统故障检测与诊断
Q3 Engineering Pub Date : 2023-06-07 DOI: 10.29354/diag/166428
Mohamed Ben Rahmoune, Abdelhamid IRATNI, Amel Sabrine Amari, A. Hafaifa, I. Colak
Solar energy has become one of the most important renewable energies in the world. With the increasing installation of power plants in the world, the supervision and diagnosis of photovoltaic systems have become an important challenge with the increased occurrence of various internal and external faults. Indeed, this work proposes a new solar power plant diagnosis based on the artificial neural network approach. The developed model was to improve the performance and reliability of the power plant located in Tamanrasset, Algeria, which is subjected to varying weather conditions in terms of radiation and ambient temperature. By using the real data collected from the studied system, this approach allow to increase electricity production and address any issues that may arise quickly, ensuring uninterrupted power supply for the region. Neural networks have shown interesting results with high accuracy. This fault diagnosis approach allows to determine the time of occurrence of a fault affecting the examined PV system. Also, allow an early detection of failures and degradation of the system, which contributes to improving the productivity of this photovoltaic installation. With a significant reduction in the time needed to repair the damage caused by these faults and improve the reliability and continuity of the electrical energy production service.
太阳能已成为世界上最重要的可再生能源之一。随着世界上越来越多的发电厂安装,随着各种内部和外部故障的增加,光伏系统的监督和诊断已成为一项重要挑战。事实上,这项工作提出了一种新的基于人工神经网络的太阳能发电厂诊断方法。所开发的模型旨在提高位于阿尔及利亚塔曼拉塞特的发电厂的性能和可靠性,该发电厂在辐射和环境温度方面受到不同天气条件的影响。通过使用从所研究的系统中收集的真实数据,这种方法可以增加电力产量,并解决可能迅速出现的任何问题,确保该地区的电力供应不中断。神经网络已经显示出高精度的有趣结果。这种故障诊断方法允许确定影响所检查的PV系统的故障发生的时间。此外,允许早期检测系统的故障和退化,这有助于提高该光伏装置的生产率。大大减少了修复这些故障造成的损坏所需的时间,并提高了电能生产服务的可靠性和连续性。
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引用次数: 0
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