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IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society最新文献

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Analysis of the Average Neutral-Point Current Limits of the Neutral-Point-Clamped Converter Under Three-Level Modulation 三电平调制下中性点箝位变换器中性点平均限流分析
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9255382
Zhuolin Jiang, N. Beniwal, S. Ceballos, J. Pou, H. D. Tafti, G. Farivar
The neutral-point-clamped (NPC) converter employed in applications like bipolar dc-bus, back-to-back converters, power compensator, etc., requires a nonzero average neutral-point (NP) current injection under certain operating conditions. In order to better implement the average NP current injection, this paper studies the maximum and minimum average NP current that can be injected with an NPC converter. For this study, a three-level modulation technique is employed in which one of the three phases is selected to switch between the positive dc-rail and the negative dc-rail while the other two phases switch in two consecutive voltage levels. The maximum and minimum average NP current injection limits are analyzed under different loading conditions. The presented study also evaluates the effects of modulation index and operating power factor on the limits.
用于双极直流母线、背对背变换器、功率补偿器等应用的中性点箝位(NPC)变换器在一定的工作条件下需要非零平均中性点(NP)电流注入。为了更好地实现平均NP电流注入,本文研究了NPC变换器可以注入的最大和最小平均NP电流。本研究采用三电平调制技术,选择其中一相在直流正轨和直流负轨之间切换,另两相在两个连续电压电平中切换。分析了不同负载条件下的最大和最小平均NP电流注入极限。本研究还评估了调制指数和工作功率因数对极限的影响。
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引用次数: 1
Simplified Disc Brake Modeling, Identification, and Validation focusing on Temperature Influences 基于温度影响的简化盘式制动器建模、识别和验证
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254389
Simon Göltz, O. Sawodny
In this paper an overall, simplified modeling approach describing the dependency between applied brake pressure and brake torque is presented. Therefore the internal amplification of a disc brake, the so-called brake-factor, is modeled in dependency of the vehicle velocity, the brake pressure and the brake temperature. As the application of this model requires the brake temperature, which is commonly not measured, a new lumped-mass-based brake temperature model, that describes the thermal behavior of a typical disc brake is stated and validated.
本文提出了一种全面的、简化的描述制动压力和制动扭矩之间依赖关系的建模方法。因此,盘式制动器的内部放大,即所谓的制动因子,是根据车辆速度、制动压力和制动温度来建模的。由于该模型的应用需要测量制动温度,而通常无法测量制动温度,因此提出并验证了一种新的基于集总质量的制动温度模型,该模型描述了典型盘式制动器的热行为。
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引用次数: 0
Voltage disturbance observer for dual three-phase PMSM system 双三相永磁同步电动机系统电压扰动观测器
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254334
Ludek Buchta, M. Kozovský, Lukáš Otava
In this paper, a new compensation strategy design of the dead-time effects and other VSI non-linearities is presented for a dual three-phase PMSM. The strategy is based on an estimation of compensation voltages for each motor sub-system by the proposed disturbance observer. This observer is based on the Kalman filter algorithm and the knowledge of the motor model structure and its parameters. The proposed approach is verified by experiments on the test bench which consists of the experimental dual three-phase PMSM and set of three-phase power stages controlled by one Tricore AURIX TC275 microcontroller. The achieved results are compared with the results of the standard compensation strategy.
本文针对双三相永磁同步电动机的死区效应和其他VSI非线性,提出了一种新的补偿策略设计。该策略基于扰动观测器对每个电机子系统的补偿电压的估计。该观测器是基于卡尔曼滤波算法和电机模型结构及其参数的知识。实验结果表明,所提出的方法是可行的,该方法由实验双三相永磁同步电机和一组三相功率级组成,由一个Tricore AURIX TC275微控制器控制。将所得结果与标准补偿策略的结果进行了比较。
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引用次数: 0
Research on the Synchronized Carrier-Based PWM Strategy Under Low Switching Frequency for Three-Level Neutral Point Clamped Inverter 三电平中性点箝位逆变器低开关频率下同步载波PWM策略研究
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254800
Zhan Gao, Yao-hua Li, Qiongxuan Ge, Ke Wang, Mutian Zhao, Jinquan Zhu
According to the different directions of carrier disposing, carrier-based PWM (CBPWM) can be classified into in-phase disposition PWM (IPDPWM) and phase opposition disposition PWM (PODPWM). To design a synchronized modulation strategy for three-level neutral point clamped (3-L NPC) inverter, which is convenient to implement and satisfies waveform symmetry, the harmonic characteristics of IPD PWM and PODPWM are analyzed by using double Fourier series in this paper firstly. On this basis, the carrier ratio that can make the phase voltage of IPDPWM and PODPWM meet three-phase symmetry (TPS) and half-wave symmetry (HWS) are deduced. By mixing IPDPWM and PODPWM, a synchronized CBPWM (SCBPWM) that makes the phase voltage waveform satisfies TPS and HWS at the carrier ratio is an integer multiple of 3 is further proposed. Finally, a full frequency range modulation strategy based on SCBPWM is designed, which is easy to implement and ensures the maximum switching frequency is not more than 450Hz. The simulation results verify the validity of the SCBPWM.
根据载波配置方向的不同,基于载波的PWM (CBPWM)可分为同相配置PWM (IPDPWM)和对相配置PWM (PODPWM)。为了设计一种便于实现且满足波形对称性的三电平中点箝位(3-L NPC)逆变器同步调制策略,本文首先利用双傅立叶级数分析了IPD PWM和PODPWM的谐波特性。在此基础上,推导了使IPDPWM和PODPWM相电压满足三相对称(TPS)和半波对称(HWS)的载波比。通过混合IPDPWM和PODPWM,进一步提出了一种同步CBPWM (SCBPWM),使相电压波形在载波比为3的整数倍时满足TPS和HWS。最后,设计了一种基于SCBPWM的全频率范围调制策略,该策略易于实现,并保证了最大开关频率不超过450Hz。仿真结果验证了该方法的有效性。
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引用次数: 0
A Simple ANN-Based Diagnosis Method for Open-Switch Faults in Power Converters 基于人工神经网络的电源变换器开路故障诊断方法
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254607
Zhan Li, Yuan Gao, Hao Ma, Xin Zhang
This paper presents a new diagnosis method for open-switch faults in power converters based on Artificial Neural Network (ANN). The ANN inputs comprise both sampled signals and control signals. Only the signals of one switching period are used in the method. The combination of control signals and output signals enables the trained ANN to represent the internal characteristics of converter behaviors, which is crucial for fault diagnosis. Compared with other data-driven methods, the ANN approach is simpler, making it easier to be applied in microcontrollers. Besides, the ANN responds quickly to the fault due to the training with instant signals. Therefore, easy operation and fast diagnosis can be both achieved. Finally, the open-switch fault diagnosis in a two-level three-phase converter is studied for method validation. In this case, an ANN is trained with 9 input elements, 7 output elements, and 10 neurons in the hidden layer. Simulation results are given to demonstrate the good performance of the ANN method.
提出了一种基于人工神经网络的电力变换器开路故障诊断新方法。人工神经网络输入包括采样信号和控制信号。该方法只使用一个切换周期的信号。控制信号和输出信号的结合使训练后的人工神经网络能够表征变换器行为的内部特征,这对故障诊断至关重要。与其他数据驱动方法相比,人工神经网络方法更简单,更容易在微控制器中应用。此外,由于使用即时信号进行训练,神经网络对故障的响应速度很快。因此,既可以实现简单的操作,又可以实现快速诊断。最后,对两电平三相变换器的开路故障诊断进行了研究,验证了方法的有效性。在这种情况下,一个人工神经网络被训练有9个输入元素,7个输出元素,隐藏层有10个神经元。仿真结果验证了该方法的良好性能。
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引用次数: 3
Highly Flexible Indirect Modular Multilevel Converter for High Power Pumped Hydro Storage Plants 用于大功率抽水蓄能电站的高柔性间接模块化多电平变换器
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254657
Miodrag Basić, A. Schwery, D. Dujić
As fossil-fuel- and nuclear-based generating facilities are being phased-out in favor of intermittent renewable energy sources, the need for large scale, highly flexible balancing storage is imminent. By the generating capacity of readily available units, enormous potential lays in retrofitting of large pumped hydro storage plants to variable speed operation, increasing their flexibility to meet future power system demands. Indirect Modular Multilevel Converter is a highly scalable and inherently redundant topology that meets the power and voltage ratings of large pumped hydro generating units. Variable DC link converter operation, offering common-mode-free machine-side operation has been evaluated, considering constraints in retrofit of old machines, not designed for converter-fed operation. Performance evaluation over the entire operating range of the plant is performed. Grid support dynamics has been assessed. Finally, application-specific challenges in the design stage are pointed out.
随着以化石燃料和核能为基础的发电设施逐渐被间歇性可再生能源所取代,对大规模、高度灵活的平衡储能的需求迫在眉睫。通过现有机组的发电能力,将大型抽水蓄能电站改造为变速运行,增加其灵活性以满足未来电力系统的需求,具有巨大的潜力。间接模块化多电平转换器是一种高度可扩展和固有冗余的拓扑结构,满足大型抽水蓄能发电机组的功率和电压额定值。考虑到旧机器改造的限制,不为变流器供电的操作而设计,评估了提供无共模机器侧操作的可变直流链路变流器操作。在工厂的整个运行范围内进行性能评估。网格支持动态已被评估。最后指出了设计阶段的具体应用挑战。
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引用次数: 4
PMSM-Model-Based Sensorless Control of Hybrid Stepper Motors: Performance and Robustness to Parameters Dispersion 基于pmsm模型的混合步进电机无传感器控制:性能和参数色散鲁棒性
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254711
E. Carfagna, G. Migliazza, F. Immovilli, C. M. Verrelli, E. Lorenzani
Extended Kalman Filters (EKFs), Phase Locked Loops (PLLs), and Stator Flux Observers (SFOs) are widely used for sensorless control of Permanent Magnet Synchronous Motors (PMSMs) drives. Their use (in their most advanced version) is here extended, on the basis of model analogies and suitably-guaranteed closed loop stability properties, to the sensorless speed regulation control of Hybrid Stepper Motors (HSMs), in which position and speed sensors are not employed to reduce costs and increase robustness with respect to high temperature and high-vibration environments. Both realistic simulations and experimental results demonstrate the feasibility of the proposed methods in terms of closed-loop performance and robustness to parameters mismatch.
扩展卡尔曼滤波器(EKFs),锁相环(PLLs)和定子磁链观测器(SFOs)广泛用于永磁同步电机(pmms)驱动器的无传感器控制。在模型类比和适当保证的闭环稳定性的基础上,它们的使用(在最先进的版本中)扩展到混合步进电机(hsm)的无传感器调速控制,其中不使用位置和速度传感器来降低成本并增加对高温和高振动环境的鲁棒性。仿真和实验结果均证明了所提方法在闭环性能和对参数失配的鲁棒性方面的可行性。
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引用次数: 1
An Optimal Actuator Placement Method for Direct-drive Stages to Maximize Control Bandwidth 一种控制带宽最大化的直接驱动级作动器优化布置方法
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254659
Runze Ding, C. Ding, Yunlang Xu, Weike Liu, Xiaofeng Yang
This paper develops an optimal actuator placement method for direct-drive stages. Control bandwidth of rigid body motion, which is limited by flexible modes, is maximized. According to a reduced-order state-space model of stage dynamics, a dual-loop optimization method is proposed to optimize actuator locations. In the inner loop, a specific control scheme is employed to obtain the maximum control bandwidth, which is used to formulate a cost function. This control scheme is only for optimization, which does not limit the choices of control methods for an optimized stage. In the outer loop, Genetic Algorithm (GA) is employed to minimize the cost function such that the actuator locations are optimized. Compared with existing over-actuation methods, this method has low cost and complexity. Numerical simulations verify the effectiveness of the proposed method.
本文提出了一种直接驱动级作动器的优化布置方法。使受柔性模式限制的刚体运动控制带宽最大化。根据舞台动力学的降阶状态空间模型,提出了执行器位置优化的双环优化方法。在内环中,采用特定的控制方案来获得最大的控制带宽,并利用控制带宽形成代价函数。该控制方案仅用于优化,不限制优化阶段控制方法的选择。外环采用遗传算法最小化代价函数,优化致动器位置;与现有的过驱动方法相比,该方法成本低,操作简单。数值仿真验证了该方法的有效性。
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引用次数: 4
A Carrier-Based Synchronized 3 Integer Multiples SVPWM Algorithm for Three-level Inverter with Symmetrical Waveforms 对称波形三电平逆变器的载波同步3整数倍SVPWM算法
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254844
Zhan Gao, Yao-hua Li, Ke Wang, Qiongxuan Ge, Lu Zhao, Bo Zhang
In this paper, the principle of the synchronized 3 integer multiples SVPWM (S3MSVM) which can make the phase voltage pulse number be an integer multiple of 3 is introduced. Then the equivalent relationship between carrier-based PWM (CBPWM) and S3MSVM in different modulation index regions is derived. On this basis, a carrier-based S3MSVM (CBS3MSVM) is proposed by comparing the carrier with the single modulation wave or double modulation wave at each sampling point. CBS3MSVM can make the voltage waveform satisfies three-phase symmetry (TPS), half-wave symmetry (HWS), and quarter waveform symmetry (QWS), it optimizes the harmonic performance of the voltage and its calculation is simpler than S3MSVM. The correctness of the theoretical analysis is verified by simulation results.
本文介绍了同步3整数倍SVPWM (S3MSVM)的原理,它可以使相电压脉冲数为3的整数倍。然后推导了不同调制指标区域下基于载波的PWM (CBPWM)与S3MSVM的等效关系。在此基础上,通过将载波与每个采样点的单调制波或双调制波进行比较,提出了基于载波的S3MSVM (CBS3MSVM)。CBS3MSVM可以使电压波形满足三相对称(TPS)、半波对称(HWS)和四分之一波形对称(QWS),优化了电压的谐波性能,其计算比S3MSVM简单。仿真结果验证了理论分析的正确性。
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引用次数: 0
Eyes Status Detector Based on Light-weight Convolutional Neural Networks supporting for Drowsiness Detection System 支持困倦检测系统的轻量级卷积神经网络眼状态检测器
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254858
Duy-Linh Nguyen, M. D. Putro, K. Jo
The drowsiness is the leading cause of many accidents on the road. These causes can be reduced by using the drowsiness alarm or drowsiness detection system. These systems monitor drivers while driving and alarm when they don’t focus or have some abnormal signs in the driver’s body. Currently, most methodologies use the analysis of human behaviors, vehicle behaviors, and human physiological conditions. This paper regards eyes status analysis based on deep learning method using proposed Convolutional Neural Networks (CNN) with two stages are face detection and eyes classification. The face detector employs a single detector module and shallow layer, then the eyes classifier using simple CNN without ignoring the accuracy. As a result, the average speed was tested in real-time by 50.03 fps (frames per second) on Intel Core I7-4770 CPU @ 3.40 GHz.
困倦是道路上许多事故的主要原因。这些原因可以通过使用困倦警报或困倦检测系统来减少。这些系统在驾驶时监测驾驶员,并在驾驶员注意力不集中或身体出现异常迹象时发出警报。目前,大多数方法都是分析人的行为、车辆的行为和人的生理状况。本文采用提出的卷积神经网络(CNN)进行基于深度学习的眼睛状态分析,分为人脸检测和眼睛分类两个阶段。人脸检测器采用单个检测器模块和浅层,然后眼睛分类器使用简单的CNN而不忽略准确率。因此,在英特尔酷睿I7-4770 CPU @ 3.40 GHz上实时测试了平均速度为50.03 fps(每秒帧数)。
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引用次数: 0
期刊
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
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