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Propulsion Performance Analysis of Wave-powered Boats 波浪动力船的推进性能分析
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-04-01 DOI: 10.46604/ijeti.2020.4276
Z. Chang, Chao Deng, Jiakun Zhang, Zhanxia Feng, Zhongqiang Zheng
With the development of oceanographic research and marine environment protection, mobile marine platforms are applied for ocean observation for a long journey. Wave-powered boats are capable of applying wave motion to propel itself and make a long-duration survey. This paper presents the dynamics of the wave-powered boat under the excitation of the heave motion and pitch motion. Taking the wave-powered boat with double fins as an example, the heave and pitch motions of the boat are obtained by ANSYS-AQWA firstly. Then the relationship between propulsion performance and three factors, including wave height, wave period, and restoring stiffness of torsion spring, was analyzed through multibody dynamics software ADAMS. With the increase of sea state from level 1 to level 4 the average propulsion speed increased from 0.4m/s to 1.4m/s. Under the same wave height and period, with the increase of restoring stiffness of torsion spring from 0.0125N·m/deg to 0.3N·m /deg, the propulsion speed of the wave-powered boat increases first and then decreases, and there exists an optimum stiffness. Through the calculation it is found that when the restoring stiffness of torsional spring is increased from 0.025N·m /deg to 0.2N·m /deg with the sea state level 1 to 4, the wave powered boat has better propulsion performance.
随着海洋学研究和海洋环境保护的发展,移动海洋平台被应用于远洋观测。波浪动力船能够利用波浪运动来推动自己,并进行长时间的调查。本文研究了波浪动力船在升沉运动和俯仰运动激励下的动力学特性。以双鳍波浪动力艇为例,首先利用ANSYS-AQWA软件获得了艇的升沉运动和俯仰运动。然后通过多体动力学软件ADAMS分析了推进性能与波高、波周期、扭转弹簧恢复刚度三个因素之间的关系。随着海况从1级增加到4级,平均推进速度从0.4m/s增加到1.4m/s。在相同波高和周期下,随着扭转弹簧恢复刚度从0.0125N·m/ g增加到0.3N·m / g,波浪动力船的推进速度先增大后减小,且存在最优刚度。通过计算发现,当扭转弹簧的恢复刚度从0.025N·m /deg增加到0.2N·m /deg,海况等级为1 ~ 4时,波浪动力船具有较好的推进性能。
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引用次数: 3
A Circuit-Level Implementation of Voltage-Tuning Scheme for Realizing Optical PAM-4 Using Three-Segment Microring Modulator 三段微环调制器实现光PAM-4电压调谐方案的电路级实现
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-04-01 DOI: 10.46604/ijeti.2020.5072
Rui Wang
Silicon Photonics, as one of the solutions to satisfy ever-increasing data bandwidth growth, becomes more challenging due to the latest technologies such as Internet of Things (IoT). Higher order pulse amplitude modulation (PAM) schemes is one of the answers to push towards higher data transmission in the presence of bandwidth limited optical devices. In this paper, we have implemented a circuit-level PAM-4 transmitter design based on the voltage-tuning scheme for realizing optical PAM-4 using a three-segment microring modulator. Simulation results based on the extracted layout using TSMC 65nm LP technology and IMEC-ePIXfab SiPhotonics ISIPP50G technology show that our proposed circuit-level transmitter structure is able to achieve PAM-4 data rate of 25-Gb/s with extinction ratio of 9dB and PAM-4 energy efficiency of 0.5pJ/bit. The results also verify that the scheme is able to achieve high tuning flexibility, but the proposed transmitter will consume more power as a result.
硅光子学作为满足不断增长的数据带宽增长的解决方案之一,由于物联网(IoT)等最新技术的发展,变得更具挑战性。高阶脉冲幅度调制(PAM)方案是在带宽有限的光器件存在下推动更高数据传输的答案之一。在本文中,我们实现了一种基于电压调谐方案的电路级PAM-4发射机设计,利用三段微环调制器实现光学PAM-4。基于TSMC 65nm LP技术和IMEC-ePIXfab SiPhotonics ISIPP50G技术的提取布局仿真结果表明,我们提出的电路级发射机结构能够实现PAM-4数据速率为25 gb /s,消光比为9dB, PAM-4能效为0.5pJ/bit。结果也验证了该方案能够实现较高的调谐灵活性,但所提出的发射机将因此消耗更多的功率。
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引用次数: 0
A New Method for Fault Current Limiting and Voltage Compensating in Power Systems Using Active Superconducting Current Controller 用有源超导电流控制器实现电力系统故障限流和电压补偿的新方法
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-04-01 DOI: 10.46604/ijeti.2020.4700
A. Ghafari, M. Saniei, M. Razaz, A. Saffarian
Abstract In this paper, a new method for both fault current limiting and voltage compensating using Active Superconducting Current Controller (ASCC) is proposed. The main objective of this paper is to present an appropriate control strategy for ASCC to achieve both the fault current limiting and voltage compensation purposes. Three different operating modes are defined for ASCC including normal mode, fault current limiting mode, and voltage compensation mode and a proper control strategy is designed for each mode. For the fault current limiting, the model of a typical three-phase system with ASCC is simulated and different states for current limiting in different levels are defined. Also, for the voltage compensating mode, the PI model for the line is considered and the line transmission matrix is obtained when the ASCC is connected at the sending end and middle of the line. Finally, proper settings for ASCC are determined such that the magnitude of the receiving end and the sending end voltages become equal. Simulation results using MATLAB software confirm the proper performance of the proposed method.
提出了一种利用有源超导电流控制器(ASCC)实现故障限流和电压补偿的新方法。本文的主要目的是提出一种合适的ASCC控制策略,以达到故障限流和电压补偿的目的。定义了ASCC的正常模式、故障限流模式和电压补偿模式三种不同的工作模式,并针对每种模式设计了相应的控制策略。在故障限流方面,对典型ASCC三相系统模型进行了仿真,定义了不同级别的不同限流状态。对于电压补偿方式,考虑了线路的PI模型,得到了ASCC分别连接在发送端和线路中间时的线路传输矩阵。最后,确定ASCC的适当设置,使接收端和发送端电压的幅度相等。MATLAB仿真结果验证了该方法的有效性。
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引用次数: 0
Design Wind Speed Estimation for Long Span Bridges in Korean Southern and Western Coasts 韩国南部和西部沿海大跨度桥梁设计风速估算
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-04-01 DOI: 10.46604/ijeti.2020.3545
Dooyong Cho
Recently, many long-span cable supported bridges, including the cable stayed bridges and the suspension bridges, have already been constructed or are planned for construction. Because the meteorological values used to estimate the wind load for designing the long-span bridges were based on data from the 1960s through 1995 in Korea, it is necessary to reconsider the proper design wind load for long-span bridges. In this paper, the research area is confined to the southern and western coasts of Korea where many long-span bridges have been built. The method of moment and the least-squares method are used to estimate the expected wind speeds of a 100-year return period for girder bridges; Gumbel’s distribution is used to estimate the expected wind speeds of a 200-year return period for long-span bridges. As the return period wind speed on the land surface is revised because of recent high-speed velocity, the revised return period wind speed is increased by 17%. The compatibility of return period wind speed is also evaluated using the RMS (root mean square) error method. This paper concludes that the least-squares method is more compatible than the method of moment for the case of the southern and western coasts of Korea.
近年来,包括斜拉桥和悬索桥在内的许多大跨度斜拉桥已经建成或正在规划建设。由于设计大跨度桥梁时所用的风荷载气象值是基于韩国20世纪60年代至1995年的数据,因此有必要重新考虑大跨度桥梁的合理设计风荷载。在本文中,研究区域仅限于韩国的南部和西部海岸,那里已经建造了许多大跨度桥梁。采用矩量法和最小二乘法估计了梁桥100年回归期的预期风速;Gumbel分布用于估计大跨度桥梁200年回归期的预期风速。由于近期高速的影响,对地表的回归期风速进行了修正,修正后的回归期风速增加了17%。采用均方根误差法对回归期风速的相容性进行了评价。本文的结论是,对于韩国南部和西部海岸的情况,最小二乘法比矩量法更适合。
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引用次数: 1
Dynamic Modeling of a Spatial Cable-Driven Continuum Robot Using Euler-Lagrange Method 空间索驱动连续体机器人的欧拉-拉格朗日动力学建模
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.46604/ijeti.2020.4422
A. Amouri, Chawki Mahfoudi, A. Zaatri
Continuum robots are kinematically redundant and their dynamic models are highly nonlinear. This study aims to overcome this difficulty by presenting a more practical dynamic model of a certain class of continuum robots called cable-driven continuum robot (CDCR). Firstly, the structural design of a CDCR with two rotational degrees of freedom (DOF) is introduced. Then, the kinematic models are derived according to the constant curvature assumption. Considering the complexity of the kinetic energy expression, it has been approximated by the well-known Taylor expansions. This case corresponds to weak bending angles within the specified bending angle range of the robot. On the other hand, due to the low weight of the CDCR components, the gravitational energy effects can be neglected compared to those stemmed from the elastic energy. Thereafter, the corresponding dynamic model is established using Euler-Lagrange method. Static and dynamic models have been illustrated by examples. This analysis and dynamic model development have been compared with the existing scientific literature. The obtained results shown that the consistency and the efficiency of accuracy for real-time have been carried out. However, the dynamic modeling of CDCR with more than 2-DOF leads to a more complex mathematical expression, and cannot be simplified by adopting the similar assumptions and methodology used in the case of 2-DOF.
连续体机器人具有运动冗余性,其动力学模型是高度非线性的。为了克服这一困难,本研究提出了一种更实用的连续体机器人——索驱动连续体机器人(CDCR)的动力学模型。首先,介绍了一种双转动自由度CDCR的结构设计。然后,根据常曲率假设,导出了运动学模型。考虑到动能表达式的复杂性,它已被著名的泰勒展开近似。这种情况对应于机器人在规定的弯曲角度范围内的弱弯曲角度。另一方面,由于CDCR组件的重量较小,与弹性能相比,重力能的影响可以忽略不计。然后,利用欧拉-拉格朗日方法建立相应的动力学模型。通过实例说明了静态和动态模型。本文的分析和动态模型的发展与现有的科学文献进行了比较。仿真结果表明,该方法实现了精度的一致性和实时性。然而,对于2-DOF以上的CDCR动态建模,其数学表达式更为复杂,无法采用与2-DOF情况类似的假设和方法进行简化。
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引用次数: 15
Experimental Characterization of A Piezoelectric Transducer Array Taking into Account Crosstalk Phenomenon 考虑串扰现象的压电换能器阵列的实验表征
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.46604/ijeti.2020.4348
A. Bybi, Driss Khouili, C. Granger, M. Garoum, A. Mzerd, A. Hladky-Hennion
Ultrasonic transducer arrays are generally composed of several piezoelectric elements arranged in 1D or 2D ways. Crosstalk is an undesirable phenomenon decreasing the performance of these devices. It generates parasitic displacements at the elements' radiating surfaces, which changes the directivity of the array. Furthermore, the transducer's displacement plays a critical role in terms of the focal area and transferred intensities. The objective of this paper is to characterize a piezoelectric array composed of seven-elements made of PZ 27 ceramic experimentally. It investigates the effects of the crosstalk phenomenon on the array's performance in particular. The results have shown that the array's elements vibrate mainly in thickness mode, but the displacement is not uniform along their length due to the contribution of a parasitic length mode. Moreover, the major parasitic displacements are obtained on the neighboring passive elements: about-7.3 dB,-11 dB, and-12 dB, on the first, the second, and the third elements, respectively.
超声波换能器阵列通常由若干压电元件以一维或二维的方式排列而成。串扰是降低这些设备性能的不良现象。它会在元件的辐射表面产生寄生位移,从而改变阵列的方向性。此外,换能器的位移对焦点面积和传递强度起着至关重要的作用。本文的目的是对由pz27陶瓷制成的七元压电阵列进行实验表征。重点研究了串扰现象对阵列性能的影响。结果表明,该阵列的单元主要以厚度模式振动,但由于寄生长度模式的影响,位移沿其长度方向不均匀。此外,在相邻的无源元件上获得了主要的寄生位移:在第一、第二和第三元件上分别约为-7.3 dB、-11 dB和12 dB。
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引用次数: 7
Connectivity Investigation of Channel Quality-Based Adaptive Gossip Flooding Mechanism for AODV 基于信道质量的AODV自适应八卦泛洪机制连通性研究
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.46604/ijeti.2020.3812
P. Shete, R. Awale
To address the “broadcast storm” problem associated with flooding-based route discovery mechanism of reactive routing protocols, probabilistic approaches are suggested in the literature. In the earlier work, Gossip flooding mechanism of Haas et.al. was extended with signal quality, to propose channel quality based adaptive gossip flooding mechanism for AODV (CQAG-AODV). Following the cross-layer design principle, CQAG-AODV algorithm tried to discover robust routes, as well as address the “broadcast storm” problem by controlling the rebroadcast probability of Route request (RREQ) packets on the basis of signal strength experienced at the physical layer. This paper investigates the connectivity of CQAG-AODV through theoretical and simulation analysis. Results show that, by accounting the signal strength in the route discovery process, not only does the proposed algorithm floods a lesser number of route requests and controls the broadcast storm, but also maintains a higher level of connectivity to offer high packet delivery ratio; independent of network density and node mobility. Moreover, due to controlled routing overhead and robust route discovery, channel quality based adaptive flooding mechanism offers fringe benefit of energy efficiency as well. CQAG-AODV thus proves its suitability in a variety of use cases of multi-hop ad hoc networks including WSNs and VANETs.
为了解决与响应路由协议中基于洪水的路由发现机制相关的“广播风暴”问题,文献中提出了概率方法。在早期的研究中,Haas等人提出了八卦泛洪机制。扩展了信号质量,提出了基于信道质量的AODV自适应八卦泛洪机制(CQAG-AODV)。CQAG-AODV算法遵循跨层设计原则,在物理层信号强度的基础上,通过控制路由请求(RREQ)报文的重播概率,发现鲁棒路由,解决“广播风暴”问题。本文通过理论分析和仿真分析对CQAG-AODV的连通性进行了研究。结果表明,考虑到路由发现过程中的信号强度,所提算法不仅淹没了较少的路由请求,控制了广播风暴,而且保持了较高的连通性,提供了较高的分组分发率;独立于网络密度和节点移动性。此外,由于可控的路由开销和鲁棒的路由发现,基于信道质量的自适应泛洪机制还提供了能源效率的附加效益。因此,CQAG-AODV证明了它在包括wsn和vanet在内的多种多跳自组织网络用例中的适用性。
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引用次数: 1
On the Position Determination of Docking Station for AUVs Using Optical Sensor and Neural Network 基于光学传感器和神经网络的水下机器人对接位置确定研究
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.46604/ijeti.2020.4158
T. Nhat, Hyeung-Sik Choi, J. Sur, Jin-Il Kang, Hyun-joong Son
Detecting the relative position of the docking station is a very important issue for the homing of AUVs (Autonomous Unmanned Vehicles). To detect the position of the light source, a pinhole camera model structure was proposed like the camera model. However, due to the sensor resolution and the distortion errors of the pinhole camera system, the application of the camera of docking the under turbid sea environments is almost impossible. In this paper, a new method detecting the position of the docking station using a light source is presented. Also, a newly developed optical sensor which makes it much easier to sense the light source than the camera system for homing of the AUV under the water is performed. In addition, to improve the system, a neural network (NN) algorithm constructing a model relating the light inputs and optical sensor which are developed in this study is proposed. To evaluate the performance of the NN algorithm, the experiments were performed in the air beforehand. The result shows that the NN algorithm with AUV docking system using the NN model is better than the pinhole camera model.
对接站的相对位置检测是自动无人驾驶飞行器(auv)寻的一个重要问题。为了检测光源的位置,提出了一种类似相机模型的针孔相机模型结构。然而,由于传感器分辨率和针孔相机系统的畸变误差,相机在浑浊海洋环境下的对接应用几乎是不可能的。本文提出了一种利用光源检测对接站位置的新方法。此外,一种新开发的光学传感器,使其更容易感知光源比相机系统的水下航行器的导引。此外,为了改进系统,提出了一种神经网络算法,该算法构建了光输入和光传感器之间的模型。为了评估神经网络算法的性能,事先在空中进行了实验。结果表明,基于神经网络模型的AUV对接系统神经网络算法优于针孔摄像机模型。
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引用次数: 4
Shear Behavior of RC Deep Beam Strengthened by V-Shaped External Rods v形外棒加固钢筋混凝土深梁的抗剪性能
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.46604/ijeti.2020.4174
P. Rai, K. Phuvoravan
This research investigated the shear strengthening technique of Reinforced Concrete (RC) deep beams using a V-shaped external rod system. Shear behavior, the stress in an external rod, and the shear capacity at the diagonal shear failure of a strengthened beam were focused mainly. Experimental tests of control and two strengthened beams were carried out to observe the effect of the external rod on shear behavior of RC deep beam. A theoretical approach to compute the stress in the external rod and the nominal strength of the strengthened beam in the diagonal shear failure were examined based on the experimental test results and verified using Finite Element Method (FEM) in ABAQUS. The computed nominal shear strength of the strengthened beam was 10% higher than the experimental test. The strengthening technique shifted the brittle shear failure to ductile shear failure and improved the performance of RC deep beam.
本文研究了钢筋混凝土(RC)深梁采用v形外杆体系的抗剪加固技术。重点研究了加固梁的抗剪性能、外杆应力和斜剪破坏时的抗剪能力。通过对照梁和两根加固梁的试验试验,观察外杆对钢筋混凝土深梁抗剪性能的影响。在试验试验的基础上,提出了计算斜剪破坏下外杆应力和加固梁名义强度的理论方法,并在ABAQUS软件中进行了有限元验证。计算得到的加固梁的名义抗剪强度比试验值高10%。该加固技术将钢筋混凝土深梁的脆性剪切破坏转变为延性剪切破坏,提高了混凝土深梁的性能。
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引用次数: 3
Application of Recent Developments in Deep Learning to ANN-based Automatic Berthing Systems 深度学习在基于人工神经网络的自动靠泊系统中的应用
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.46604/ijeti.2020.4354
Daesoo Lee, Seungjae Lee, Youngho Seo
Previous studies on Artificial Neural Network (ANN)-based automatic berthing showed considerable increases in performance by training ANNs with a set of berthing datasets. However, the berthing performance deteriorated when an extrapolated initial position was given. To overcome the extrapolation problem and improve the training performance, recent developments in Deep Learning (DL) are adopted in this paper. Recent activation functions, weight initialization methods, input data-scaling methods, a higher number of hidden layers, and Batch Normalization (BN) are considered, and their effectiveness has been analyzed based on loss functions, berthing performance histories, and berthing trajectories. Finally, it is shown that the use of recent activation and weight initialization method results in faster training convergence and a higher number of hidden layers. This leads to a better berthing performance over the training dataset. It is found that application of the BN can overcome the extrapolated initial position problem.
基于人工神经网络(ANN)的自动靠泊研究表明,使用一组靠泊数据集训练人工神经网络可以显著提高自动靠泊性能。然而,当给出一个外推的初始位置时,靠泊性能下降。为了克服外推问题并提高训练性能,本文采用了深度学习(DL)的最新进展。考虑了最近的激活函数、权重初始化方法、输入数据缩放方法、更高数量的隐藏层和批归一化(BN),并基于损失函数、靠泊性能历史和靠泊轨迹分析了它们的有效性。最后,研究表明,使用最近激活和权值初始化方法,训练收敛速度更快,隐藏层数更多。这可以在训练数据集上获得更好的停泊性能。研究结果表明,该方法可以克服外推初始位置问题。
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引用次数: 17
期刊
International Journal of Engineering and Technology Innovation
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