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2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)最新文献

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Model-driven soft sensor for predicting biomass calorific value in combustion power plants 燃烧电厂生物质热值预测的模型驱动软传感器
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603692
F. Belkhir, Georg Frey
An efficient way to exploit the chemical energy contained in the biomass is combustion using the state-of-the-art grate-firing systems, one of the most competitive and market-proven technology being currently used in Europe for power production: electricity and/or steam for district heating, which are offered on the market with capacities that range from 20 up to 50 MWel. A decisive variable, when operating the biomass heat recovery power plant, is the biomass calorific value, which often fluctuates between the different batches delivered to the furnace, due to harvesting, storing and transport conditions. Consequently, the operation of the grate-firing unit is complicated as a result of the uncertainty introduced by the fuel quality. Therefore, it will be advantageous, from a control point of view, to monitor online this value in order to effectively control the combustion-air system and the biomass feed rate. Thereby, increasing the plant's conversion efficiency. In this work, an estimator based on a static combustion model, along with a steam-boiler dynamic model, is developed to monitor the biomass calorific value in a grate-firing unit. The steam-boiler model predicts the amount of steam based on the released thermal power from the furnace side. Consequently, this allows for the estimation of the fuel's energy value based on measured and predicted amount of the steam produced by firing the solid biomass. Hence, no further devices, hardware calibration and additional costs are needed.
利用生物质中所含化学能的一种有效方法是使用最先进的栅格燃烧系统进行燃烧,这是目前在欧洲用于发电的最具竞争力和市场验证的技术之一:用于区域供热的电力和/或蒸汽,市场上提供的容量从20到50兆瓦不等。在运行生物质热回收发电厂时,一个决定性的变量是生物质热值,由于收获、储存和运输条件的不同,生物质热值经常在输送到炉子的不同批次之间波动。因此,由于燃料质量的不确定性,炉栅燃烧装置的运行变得复杂。因此,从控制的角度来看,在线监测该值将有利于有效控制燃烧-空气系统和生物质进料速率。从而提高电厂的转化效率。在这项工作中,开发了一个基于静态燃烧模型和蒸汽锅炉动态模型的估计器,以监测栅格燃烧单元中的生物质热值。蒸汽锅炉模型根据炉侧释放的热功率来预测蒸汽量。因此,这允许基于燃烧固体生物质产生的测量和预测的蒸汽量来估计燃料的能量值。因此,不需要进一步的设备,硬件校准和额外的成本。
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引用次数: 6
Two-dimension dynamic thermal circuit network model of cylinder 气缸二维动态热回路网络模型
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603693
Manyi Guo, Shaoping Wang, Xingjian Wang, Di Wu, M. Tomovic
It's known that electro-hydrostatic actuators (EHA) are characterized by rapid and obvious temperature rise on account of high integration and poor conditions for heat dissipation. In view of this situation, thermal circuit network of motor in EHA differs because thermal resistances occupy temperature-varying properties. Hence, thermal slide rheostat has been introduced into network newly in this paper to modify models. As the research base, brushless direct current motor (BLDC) with its components is abstracted to cylinder considering time-varying properties due to temperature-varying laws of thermal conductivities of different materials. Aiming at the cylinder, firstly, distribution and variation rules of two-dimension unsteady thermal field of it are calculated and discussed, with which time-varying properties of arbitrary node temperature can be consequently acknowledged. Secondly, results above are applied to develop thermal slide rheostat model and two-dimension dynamic thermal circuit network of cylinder. At last, corresponding simulations, relevant conclusions and necessary discussions are available to explain the novel model.
众所周知,电液静压执行器(EHA)由于集成度高,散热条件差,具有升温快、明显的特点。针对这种情况,由于热阻具有变温特性,电机的热电路网络也有所不同。为此,本文在网络中引入了热滑动变阻器来修正模型。考虑到不同材料导热系数的温度变化规律,将无刷直流电机及其部件抽象为圆柱体作为研究基础。针对圆柱体,首先计算和讨论了其二维非定常热场的分布和变化规律,从而可以认识任意节点温度的时变特性;其次,应用上述结果建立了气缸的热滑动变阻器模型和二维动态热电路网络。最后给出了相应的仿真、相关结论和必要的讨论来解释新模型。
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引用次数: 0
A bidirectional switched-capacitor based AC-AC resonant converter 基于双向开关电容的交流-交流谐振变换器
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603723
Y. Mu, Xiaofeng Yang, Yao Xue, Zhiqin Lin, T. Zheng, S. Igarashi
A novel direct ac-ac converter based on the switched-capacitor and series resonant principle, featuring with soft switching characteristic and bidirectional power flow, is proposed in this paper. The converter consists of a LC resonant tank, switched-capacitors and reverse blocking IGBTs (RB-IGBT), resulting in small size and light weight; high efficiency is achieved by adopting soft switching technology. Moreover, this converter is designed to apply for 220/110V AC/AC voltage conversion applications. In order to demonstrate the performance of the new converter, its operation principle and control methods are described in detail. The feasibility of the theory analysis and control method has been verified by both simulation and experimental results.
提出了一种基于开关电容和串联谐振原理的新型直交变换器,具有软开关特性和双向潮流特性。该变换器由LC谐振槽、开关电容器和反向阻断igbt (RB-IGBT)组成,体积小,重量轻;采用软开关技术实现了高效率。此外,该转换器设计适用于220/110V AC/AC电压转换应用。为了演示新型变换器的性能,详细介绍了其工作原理和控制方法。仿真和实验结果验证了理论分析和控制方法的可行性。
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引用次数: 4
Robust adaptive backstepping controller design for DC-DC buck converters with external disturbances 具有外部干扰的DC-DC降压变换器鲁棒自适应反步控制器设计
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603770
T. K. Roy, M. A. Mahmud, W. Shen, M. E. Haque, A. Oo
In modern power electronic systems, DC-DC converter is one of the main controlled power sources for driving DC systems. But the inherent nonlinear and time-varying characteristics often result in some difficulties mostly related to the control issue. This paper presents a robust nonlinear adaptive controller design with a recursive methodology based on the pulse width modulation (PWM) to drive a DC-DC buck converter. The proposed controller is designed based on the dynamical model of the buck converter where all parameters within the model are assumed as unknown. These unknown parameters are estimated through the adaptation laws and the stability of these laws are ensured by formulating suitable control Lyapunov functions (CLFs) at different stages. The proposed control scheme also provides robustness against external disturbances as these disturbances are considered within the model. One of the main features of the proposed scheme is that it overcomes the over-parameterization problems of unknown parameters which usually appear in some conventional adaptive methods. Finally, the effectiveness of the proposed control scheme is verified through the simulation results and compared to that of an existing adaptive backstepping controller. Simulation results clearly indicate the performance improvement in terms of a faster output voltage tracking response.
在现代电力电子系统中,DC-DC变换器是驱动直流系统的主要受控电源之一。但其固有的非线性和时变特性往往给控制问题带来一些困难。本文提出了一种基于脉冲宽度调制(PWM)递归方法的鲁棒非线性自适应控制器设计,用于驱动DC-DC降压变换器。该控制器是基于buck变换器的动力学模型设计的,模型中的所有参数都假定为未知。通过自适应律估计这些未知参数,并通过在不同阶段制定合适的控制Lyapunov函数(clf)来保证这些律的稳定性。所提出的控制方案还提供了对外部干扰的鲁棒性,因为这些干扰被考虑在模型内。该方案的一个主要特点是克服了传统自适应方法中存在的未知参数的过度参数化问题。最后,通过仿真结果验证了所提控制方案的有效性,并与已有的自适应反步控制器进行了比较。仿真结果清楚地表明,在更快的输出电压跟踪响应方面,性能得到了改善。
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引用次数: 9
Analysis of online active noise control strategies by hybrid algorithm 基于混合算法的在线主动噪声控制策略分析
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603561
J. Calderon, J. Tafur, Benjamín Barriga, Edgar A. Manzano
Engines operations usually produce intense noise and may cause hearing injuries. Therefore, passive absorbers are being used to reduce or eliminate unwanted noise. However, this mechanism is connected with high costs and space requirements. Active Noise Control (ANC) allows to eliminate mentioned drawbacks and therefore offers a better solution. ANC can be designed by feedback, feedforward or hybrid algorithm. Hybrid algorithm has an average settling time, but allows a good response in presence of disturbances. In this paper a fair noise reduction is shown for the use case where an identification process is being made inside of the main hybrid control algorithm loop (online).
发动机的运转通常会产生强烈的噪音,并可能造成听力损伤。因此,被动吸收器被用来减少或消除不必要的噪音。但是,这种机制与高成本和空间要求有关。主动噪声控制(ANC)可以消除上述缺点,因此提供了更好的解决方案。ANC可以采用反馈、前馈或混合算法设计。混合算法具有平均稳定时间,但在存在干扰时具有良好的响应能力。在本文中,对于在主混合控制算法回路(在线)内进行识别过程的用例,显示了一个公平的降噪。
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引用次数: 1
H infinity observer based state of charge estimation for battery packs in electric vehicles 基于H∞观测器的电动汽车电池组充电状态估计
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603672
Fengxian He, W. Shen, A. Kapoor, D. Honnery, D. Dayawansa
A H infinity observer based method is proposed to estimate the state of charge (SOC) for a series-connected battery pack for electric vehicles. In this method, an average virtual cell (AVC) model is defined and the SOC of the AVC model is estimated to represent the pack SOC when all terminal voltage differences (TVD) between each individual cell in the pack and the AVC are within a voltage value set in advance. The LiFePO4 battery pack is utilized to conduct the experiments to verify the effectiveness of the proposed method.
提出了一种基于H∞观测器的电动汽车串联电池组荷电状态估计方法。该方法定义了一个平均虚拟电池(AVC)模型,当电池组中每个电池与AVC之间的所有终端电压差(TVD)在预先设定的电压值范围内时,估计AVC模型的SOC代表电池组SOC。利用LiFePO4电池组进行了实验,验证了所提方法的有效性。
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引用次数: 5
Photovoltaic output power chaotic characteristic and trend prediction based on the actual measurement data 基于实测数据的光伏输出功率混沌特性及趋势预测
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603603
Wang Yufei, Sun Lu, Xue Hua
Based on the nonlinear dynamic modeling of photovoltaic power generation system output time sequences, parsing the kinetic characteristics of the output power of photovoltaic power generation system, the chaos characteristics of the photovoltaic power generation system output power is put forward. According to the phase space reconstruction theory, adding weight first order local prediction method is used for photovoltaic output power chaotic prediction. The actual measurement data of the output power acquired from the photovoltaic power generation system of a printing plant roof is used to verify the prediction method. Results show that the photovoltaic power generation system output power has chaotic characteristics, and it is feasible that the chaos prediction method apply to photovoltaic output power prediction, the method has a high accuracy for photovoltaic power ultra-short term prediction, it provide a new way for photovoltaic output power prediction.
基于光伏发电系统输出时间序列的非线性动态建模,解析光伏发电系统输出功率的动力学特性,提出光伏发电系统输出功率的混沌特性。根据相空间重构理论,采用加权一阶局部预测法对光伏输出功率进行混沌预测。利用某印刷厂屋顶光伏发电系统输出功率的实际测量数据对预测方法进行了验证。结果表明,光伏发电系统输出功率具有混沌特性,混沌预测方法应用于光伏输出功率预测是可行的,该方法对光伏功率超短期预测具有较高的精度,为光伏输出功率预测提供了一种新的途径。
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引用次数: 5
A new differential protection scheme for microgrid using Hilbert space based power setting and fuzzy decision processes 基于Hilbert空间和模糊决策过程的微电网差动保护新方案
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603542
A. Abdulwahid, Shaorong Wang
Nowadays, the use of a distributed generation (DG) has increased because of the benefits such as increased reliability, reduced losses, and improvement in the line capacity and less environmental pollution. The protection of microgrids, which consists of generation sources, it is one of the most crucial concerns of basic distribution operators. One of the key issues in this field is the protection of microgrids against permanent and temporary failures by improving safety and reliability of the network. The traditional method that was used has a number of disadvantages. The proposed protection scheme develops power differential protection (PDP) using the fuzzy rule approach for intelligent protection of microgrids. This paper proposes the development of a new algorithm to improve the differential protection performance by using fuzzy processes with Hilbert space based power theory (FHSP). The protection can be obtained in a novel way based on this theory. An advantage of this algorithm is that the protection system operates in less than two cycles after the occurrence of the fault. Another advantage is that the error detection is not dependent on the selection of threshold values, and all types of internal fault can identify and show that the algorithm operates correctly for all types of faults whilst preventing unwanted tripping, even if the data has been distorted by current transformer (CT) saturation or by data mismatches.
如今,分布式发电(DG)的使用越来越多,因为它具有提高可靠性、减少损耗、提高线路容量和减少环境污染等优点。由发电源组成的微电网的保护是基本配电运营商最关心的问题之一。该领域的关键问题之一是通过提高网络的安全性和可靠性来保护微电网免受永久性和暂时性故障的影响。所使用的传统方法有许多缺点。该保护方案将模糊规则方法应用于微电网智能保护中,发展了功率差动保护(PDP)。本文提出了一种利用基于Hilbert空间的功率理论(FHSP)的模糊过程来提高差动保护性能的新算法。基于这一理论,可以以一种新颖的方式获得保护。该算法的优点是故障发生后保护系统的运行周期不超过两个周期。另一个优点是错误检测不依赖于阈值的选择,并且所有类型的内部故障都可以识别并显示算法对所有类型的故障正确运行,同时防止不必要的跳闸,即使数据因电流互感器(CT)饱和或数据不匹配而扭曲。
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引用次数: 13
A TSOA based localization algorithm in wireless networks 基于TSOA的无线网络定位算法
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603640
Shuonan Li, Jingyu Hua, Guomin Zhong, Weidang Lu, Bin Jiang
Wireless localization plays an important role in the internet of things, such as the wireless sensor network and the smart grid. Therefore this paper investigates the time-sum-of-arrival (TSOA) based localization algorithm, where a two-step weighted least-squares algorithm is analytically derived according to the elliptical geometry. Meanwhile, the comparison between the proposed algorithm and the conventional time-difference-of-arrival (TDOA) algorithm is provided in detail. The simulation shows that the TSOA based algorithm produces a better performance than the TDOA based one in the environment with large range measurements.
无线定位在无线传感器网络、智能电网等物联网中发挥着重要作用。为此,本文研究了基于到达时间和(TSOA)的定位算法,并根据椭圆几何解析导出了一种两步加权最小二乘算法。同时,将该算法与传统的到达时间差(TDOA)算法进行了比较。仿真结果表明,在大范围测量环境下,基于TSOA的算法比基于TDOA的算法具有更好的性能。
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引用次数: 6
Research on power control of hybrid power supply EV 混合电源电动汽车功率控制研究
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7604018
Jun Liu, Yonggao Zhang
Pure Electric vehicle power supply system includes two types: single power supply system and hybrid power supply system. Control scheme of EV's hybrid power supply system is especially important since it determines system performances and life of every power supply and further impacts on EV's whole performances. As a key technology of electric vehicles (EV), researches of electric power system have been widely drawn attention. Electric vehicle has a wide variety of hybrid power supply structures to respond to different needs, corresponds to different control schemes. The paper carries out research of instantaneous power to complex power structure: Fuel Cell (FC) + Battery (B) + Ultra Capacitor (UC) and propose a power management solution strategy. Finally, a series of experiments have been carried on to prove correctness and reliability of the control scheme. Due to little calculation cost, the scheme has a very strong practical value.
纯电动汽车供电系统包括单一供电系统和混合供电系统两种。电动汽车混合供电系统的控制方案尤为重要,因为它决定了系统的性能和每一个电源的寿命,进而影响到电动汽车的整体性能。作为电动汽车的关键技术之一,电力系统的研究一直受到人们的广泛关注。电动汽车具有多种多样的混合电源结构,以响应不同的需求,对应不同的控制方案。本文对燃料电池(FC) +电池(B) +超级电容器(UC)复合电源结构的瞬时功率进行了研究,并提出了一种电源管理解决方案策略。最后,通过一系列实验验证了该控制方案的正确性和可靠性。该方案计算成本小,具有很强的实用价值。
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引用次数: 2
期刊
2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)
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