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2019 IEEE International Conference on Industrial Technology (ICIT)最新文献

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Optimization method based on simplex algorithm for current control of modular multilevel converters 基于单纯形算法的模块化多电平变换器电流控制优化方法
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755004
A. Bouarfa, M. Fadel, M. Bodson
The paper proposes an optimization formulation of the control problem for modular multilevel converter (MMC). The main control stage computes arm voltages on average over a fixed switching period by minimizing control errors in order to satisfy as best as possible the desired references of input, circulating and output currents, while taking into account arm voltage limits. Then, mean-values of required arm voltages are achieved by phase shift pulse-width modulation (PSPWM) by computing duty cycles for each submodule while taking into account the issue of active balancing of the capacitor voltages in a secondary control stage. The proposed optimization problems are solved by using a numerical method based on the simplex algorithm and simulation results are shown in order to support the validity of the approach.
本文提出了模块化多电平变换器(MMC)控制问题的优化公式。主控制阶段通过最小化控制误差来计算固定开关周期内的平均臂电压,以便尽可能地满足输入、循环和输出电流的期望参考,同时考虑到臂电压限制。然后,通过相移脉冲宽度调制(PSPWM)计算每个子模块的占空比来获得所需臂电压的平均值,同时考虑到二次控制阶段电容器电压的主动平衡问题。采用基于单纯形算法的数值方法对所提出的优化问题进行了求解,并给出了仿真结果,以验证所提方法的有效性。
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引用次数: 2
Selective Harmonic Elimination In Cascaded H-Bridge Multilevel Inverter Using Genetic Algorithm Approach 基于遗传算法的级联h桥多电平逆变器选择性谐波消除
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755089
M. Hosseinzadeh, M. Sarbanzadeh, Yamisleydi Salgueiro, M. Rivera, P. Wheeler
Multilevel inverters are worked on medium-voltage and high-power applications due to their ability to supply high power quality output voltage. Hence, a low switching frequency strategy is applied in high power applications since it generates lower magnitudes of harmonics than high switching frequency. In this paper, to eliminate high selective harmonic in a 15-level cascaded multilevel inverter, a genetic algorithm approach is proposed. Genetic algorithm is an evolutionary algorithm to determine switching angles 15-level cascaded multilevel inverters in order to eliminate selective harmonic. This paper calculates the optimum angles as offline to eliminate harmonics 3rd, 5th,7th, 9th, 11th, 13th, 15th and 17th along with their multiples. Then, the obtained angles are applied to simulation results to validate the approach performance.
由于能够提供高质量的输出电压,多电平逆变器适用于中压和大功率应用。因此,低开关频率策略被应用于高功率应用,因为它比高开关频率产生更低的谐波幅度。为了消除15电平级联多电平逆变器中的高选择性谐波,提出了一种遗传算法。遗传算法是确定15电平级联多电平逆变器开关角以消除选择性谐波的一种进化算法。本文计算了离线的最佳角度,以消除第3、第5、第7、第9、第11、第13、第15和第17次谐波及其倍数。然后,将得到的角度应用于仿真结果,验证了方法的性能。
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引用次数: 5
Application of CART-Based Variable Ranking for Faulty Variable Isolation in Tennessee Eastman Benchmark Process 基于cart的变量排序在田纳西伊士曼基准过程故障变量隔离中的应用
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755167
Jungwon Yu, Jonggeun Kim, Hansoo Lee, Seunghwan Jung, Juneho Park, Sungshin Kim
By analyzing multivariate data collected from complex industrial processes via data-driven techniques, potential process faults can be accurately detected and isolated in a timely manner; this is essential for ensuring safety, availability, and reliability of them. In this paper, we apply the fault isolation (FI) method via classification and regression tree based variable ranking (proposed by Yu et al. [12]) to Tennessee Eastman (TE) benchmark process; TE process has been widely used in academic fields of fault detection and isolation. The purpose of this paper is to verify the performance of the FI method through TE benchmark process. As described in experimental results, the method can isolate faulty variables more clearly than comparison methods without fault smearing.
通过数据驱动技术分析从复杂工业过程中收集的多变量数据,可以准确地发现并及时隔离潜在的过程故障;这对于确保它们的安全性、可用性和可靠性至关重要。本文将Yu等人[12]提出的基于分类和回归树的变量排序故障隔离(FI)方法应用于Tennessee Eastman (TE)基准过程;TE过程已广泛应用于故障检测与隔离的学术领域。本文的目的是通过TE基准测试过程来验证FI方法的性能。实验结果表明,该方法可以比没有故障涂抹的比较方法更清楚地隔离故障变量。
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引用次数: 0
Experimental Verification of Position Sensorless Control of SynRMs based on Magnetic Saturation depending on Current Phase Angles 基于磁饱和电流相位角的synrm无位置传感器控制实验验证
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8754970
Toshiki Suzuki, T. Kojima, Hisanori Yamasaki, M. Hazeyama, Shinsuke Kayano
This paper presents a new rotor position sensorless control method based on information of magnetic saturation for synchronous machines such as PMSMs and SynRMs. In general, magnetic saturation causes performance deterioration and an unstableness of sensorless control in the worst case, because magnetic saturation leads to the disappearance of magnetic saliency and a reversal between the estimated d- and q- axes. Furthermore, heavy magnetic saturation largely rotates saliency position in the direction of the current vector and thus destabilizes the sensorless control. The proposed method achieves stable sensorless control in extensive heavy load states by using information of magnetic saturation. In consequence, the proposed method doubles the torque range for sensorless control of the test SynRM, and achieves stable position sensorless control in all torque ranges.
提出了一种基于磁饱和信息的永磁同步电机转子位置无传感器控制方法。一般来说,在最坏的情况下,磁饱和会导致性能下降和无传感器控制的不稳定,因为磁饱和会导致磁显著性消失和估计的d轴和q轴之间的反转。此外,强磁饱和会在电流矢量方向上旋转显著位置,从而使无传感器控制不稳定。该方法利用磁饱和信息实现了大负荷状态下的稳定无传感器控制。因此,该方法使试验SynRM的无传感器控制转矩范围扩大了一倍,并在所有转矩范围内实现了稳定的位置无传感器控制。
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引用次数: 5
A Robot Portraits Pencil Sketching Algorithm Based on Face Component and Texture Segmentation 基于人脸分量和纹理分割的机器人肖像铅笔素描算法
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755142
Qiaochu Gao, Huicui Chen, Runze Yu, Jinsong Yang, Xiaohui Duan
As researches on robots and robotic arms going further, human portrait painting robot appears as a typical art creation application. Traditional ways to achieve this goal mainly depend on the geometric and texture features with no semantic information. In this system, to enrich the portrait, key points of human faces are fused with gray scale information. During the process of drawing, different components of the portrait can be distinguished such as hair or eyes by strokes. Besides, sketch pattern is added to line drawing model using cluster algorithm and presents a unique style. The painted results combine outline and sketch characters different from preceding work and each costs less than two minutes to finish an outline portrait and 4-6 minutes with sketch pattern.
随着对机器人和机械臂研究的深入,人体肖像绘画机器人作为一种典型的艺术创作应用出现。传统的方法主要依赖于几何和纹理特征,没有语义信息。在该系统中,人脸关键点与灰度信息融合,以丰富人像。在绘画过程中,可以通过笔触来区分肖像的不同组成部分,如头发或眼睛。利用聚类算法将素描图案添加到线条绘制模型中,呈现出独特的风格。画出的结果结合了与之前作品不同的轮廓和素描人物,每幅轮廓肖像不到两分钟,每幅素描图案不到4-6分钟。
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引用次数: 6
Automation in Mining Engineering 采矿工程自动化
Pub Date : 2019-02-01 DOI: 10.1109/icit.2019.8755080
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引用次数: 0
Sequential Phase-Shifted Model Predictive Control for a Five-Level Flying Capacitor Converter 五电平飞容变换器的序贯相移模型预测控制
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755230
P. Acuña, A. Ghias, R. Aguilera, P. Lezana, B. Mcgrath, A. Merabet, Vijesh Jayan
This paper extends previous work on the Sequential Phase-Shifted Model Predictive Control (SPS-MPC) strategy into a Single-Phase Five-Level Flying Capacitor Converter (SP-FL-FCC). The use of SPS-MPC in an FL-FCC is not as straightforward as it first seems. Therefore, a sequential average model based on more than one active control input is derived. The proposed SPS-MPC strategy achieves a fixed switching frequency, which is beneficial regarding of semiconductor loss distribution, and also to ensure that a high-bandwidth is achieved that compares favorably to the finite-control-set MPC case. Simulation results of the proposed SPS-MPC strategy validate the current and FC voltages tracking control during the transient and steady-state conditions at a fixed switching frequency.
本文将序贯相移模型预测控制(SPS-MPC)策略扩展到单相五电平飞容变换器(SP-FL-FCC)。在FL-FCC中使用SPS-MPC并不像最初看起来那么简单。因此,导出了一个基于多个主动控制输入的顺序平均模型。提出的SPS-MPC策略实现了固定的开关频率,这有利于半导体损耗分布,也确保了高带宽的实现,比有限控制集的MPC情况要好。仿真结果验证了SPS-MPC策略在固定开关频率下的暂态和稳态条件下的电流和FC电压跟踪控制。
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引用次数: 5
An Improved Model for Circulating Bearing Currents in Inverter-Fed AC Machines 一种改进的变频交流电机轴承循环电流模型
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8755123
M. Jaritz, C. Jaeger, M. Bucher, J. Smajic, D. Vukovic, S. Blume
In this paper, a general lumped parameter bearing current model is presented. The lumped parameters are derived from the analytical descriptions of the bearing current paths and the numerical field simulations based on the finite element method. The model considers frequency dependence. The resulting model delivers the common mode current and the circulating bearing current is determined by modeling the magnetic coupling between the common mode current path and the circulating bearing current path. The derived circuit can be applied to AC machines and is verified by measurements of a permanent magnet excited synchronous machine, which is supplied by an off-the-shelf motor drive inverter.
本文提出了一种通用的集总参数轴承电流模型。通过对轴承电流路径的解析描述和基于有限元法的数值模拟,得出了集总参数。该模型考虑了频率依赖性。通过对共模电流路径和循环轴承电流路径之间的磁耦合建模,确定了循环轴承电流。推导的电路可以应用于交流电机,并通过测量永磁励磁同步电机来验证,该电机由现成的电机驱动逆变器提供。
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引用次数: 8
Advanced Solutions for Communication in Cooperative Cyber Physical Systems 协同网络物理系统中通信的先进解决方案
Pub Date : 2019-02-01 DOI: 10.1109/icit.2019.8755203
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引用次数: 0
Model Predictive Control for the New Reduced Multi-level Grid-Connected Converter 新型简化多级并网变换器的模型预测控制
Pub Date : 2019-02-01 DOI: 10.1109/ICIT.2019.8754994
M. Sarbanzadeh, M. Hosseinzadeh, A. Salehi, M. Rivera, J. Muñoz, P. Wheeler
Reduced multi-level converters have been presented to enhance the efficiency by reducing the number of components which lead to reducing the size, volume and cost of converters. Predictive control is an advanced control strategy that is implemented for control of multi-level converters due to many advantages of fast response, no need proportional gain and easy to implement. To achieve these results, this paper proposes a predictive current control technique for a single-phase reduced multi-level grid-connected converter. The proposed reduced converter is a general topology for cascaded multilevel converters that reduce the number of components and generates high number of levels than traditional multi-level configurations. The proposed topology is connected to a grid and model predictive control technique is applied to control of the grid current. The model predictive control is used in two cases for the proposed 15-level reduced converter and proposed 31-level cascaded multi-level converter. Finally, to validate of the proposed reduced multi-level converter and proposed model predictive control the simulation results are presented under MATLAB/Simulink platform for proposed both converters.
为了提高效率,减少了器件的数量,从而减小了转换器的尺寸、体积和成本。预测控制具有响应快、不需要比例增益、易于实现等优点,是一种用于多电平变换器控制的先进控制策略。为了达到上述效果,本文提出了一种单相简化多级并网变换器的预测电流控制技术。所提出的简化转换器是一种用于级联多电平转换器的通用拓扑结构,与传统的多电平配置相比,它减少了元件数量并产生了高电平数。该拓扑结构与电网相连接,并采用模型预测控制技术对电网电流进行控制。将模型预测控制应用于15电平降阶变换器和31电平级联多电平变换器两种情况。最后,为了验证所提出的简化多级变换器和模型预测控制的有效性,在MATLAB/Simulink平台上对所提出的两种变换器进行了仿真。
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引用次数: 1
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2019 IEEE International Conference on Industrial Technology (ICIT)
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