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2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)最新文献

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Turbulent Flame Monitoring Using Spectral Estimation Techniques 利用光谱估计技术监测湍流火焰
Fernando Castillo, Luis E. Arias, Hugo O. Garcés, A. Rojas
A flame emits energy over a wide spectral region, and its associated spectra contain both continuous and discontinuous components, closely related to the combustion process current state. However, the non-linear and turbulent nature of the flame, high dimensionality of the spectral data, and the overlap between continuous and discontinuous spectral emissions requires the use of complex method to obtain valuable information for combustion closed loop-control and optimization. This work analyzes the spectral emission of the flame emitted by LPG flames to compute high resolution spectra combining the Maloney-Wandell spectral recovery method and field information of flame images with low spectral resolution. Then, we obtain different variables such as the flame temperature (in K) and local radiance (in μW=cm2), performing a dynamic, spectral and spatial combustion diagnostics.
火焰在很宽的光谱范围内释放能量,其相关光谱包含连续和不连续成分,与燃烧过程的当前状态密切相关。然而,由于火焰的非线性和湍流性质、光谱数据的高维性以及连续和不连续光谱发射之间的重叠,需要使用复杂的方法来获取有价值的信息,以进行燃烧闭环控制和优化。本文结合Maloney-Wandell光谱恢复方法和低光谱分辨率火焰图像的现场信息,对LPG火焰发出的火焰的光谱发射进行分析,计算出高分辨率光谱。然后,我们获得不同的变量,如火焰温度(K)和局部辐射(μW=cm2),执行动态,光谱和空间燃烧诊断。
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引用次数: 0
Simulation and mitigation of subsynchronous resonance in power systems 电力系统次同步谐振的仿真与缓解
Jorge Varela, Miguel Parada
This paper presents a detailed time domain simulation of a synchronous generator connected to an infinite bus though a transmission line with series capacitors, for the purpose of analyzing the causes and effects of subsynchronous resonance. To mitigate the serious damage that this phenomenon might cause to the generation unit shafts, a supplementary control of the synchronous generator excitation system, and the NGH damping scheme are analyzed. The effectiveness of these mitigation methods is verified by numerical simulations on MATLAB, based on Runge-Kutta algorithms.
本文对同步发电机通过串联电容传输线与无限母线连接进行了详细的时域仿真,分析了次同步谐振的原因和影响。为了减轻这种现象对发电机组轴的严重损害,分析了同步发电机励磁系统的补充控制和天然气水合物阻尼方案。基于龙格-库塔算法在MATLAB上进行了数值仿真,验证了这些缓解方法的有效性。
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引用次数: 0
A Droop Based Control Strategy for Bidirectional Power Regulation in Hybrid ACmC Microgrids 基于下垂的混合ACmC微电网双向功率调节控制策略
C. Rodríguez, Matias Malhue, M. Díaz, Enrique Espina, F. Rojas
Hybrid Alternating Current (AC) and Direct Current (DC) microgrids have been in the spotlight in the last years because they allow connection of AC and DC resources and reduces multiple power conversion in single AC or DC microgrids. The AC and DC stages are connected through interlinking converters, which manage the power transference among both sub-microgrids using droop control strategies for each single AC or DC microgrid. This paper proposes a threestage droop control strategy to regulate the power inside the sub-microgrids at the same time that bidirectional AC-DC power transference is enabled. Simulation results obtained with a hybrid microgrid model composed of five generation units are presented to validate the effectiveness of this proposal..
混合交流(AC)和直流(DC)微电网在过去几年中已经成为人们关注的焦点,因为它们允许交流和直流资源的连接,并减少单个交流或直流微电网中的多次功率转换。交流和直流级通过互连变流器连接,变流器对每个单独的交流或直流微电网使用下垂控制策略来管理两个子微电网之间的电力传输。本文提出了一种三级下垂控制策略,在实现交直流双向输电的同时,对亚微电网内的功率进行调节。最后给出了五代机组混合微电网模型的仿真结果,验证了该方法的有效性。
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引用次数: 1
Impact of the Electrical Energy-Tariff and Vehicle-to-Grid in the Total Cost of Ownership of Electromobility Projects 电力能源关税和车辆到电网对电动汽车项目总拥有成本的影响
Á. Fernández, M. Díaz, F. Rojas, L. Reyes-Chamorro, H. Chávez
This paper evaluates the impact of the electric power tariff on the total cost of ownership of electric vehicle purchase projects. Projects are analysed comparing electric vehicles with equivalent internal combustion engines vehicles. The annual equilibrium distance, Chilean energy tariffs, government incentives, and vehicle-to-grid utilities are considered in the analyses. Additionally, the current regulation in Chile is compared with special electrical vehicle energy tariffs applied in other countries is analysed to find possible spots to make electric vehicle projects more convenient.
本文评估了电价对电动汽车购买项目总拥有成本的影响。对电动汽车与同等内燃机汽车进行了项目分析。在分析中考虑了年度平衡距离、智利能源关税、政府激励和车辆到电网的公用事业。此外,将智利目前的规定与其他国家适用的特殊电动汽车能源关税进行比较,分析找到可能的地方,使电动汽车项目更方便。
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引用次数: 0
A Comparison Among Different Staggered Optimized Gating Patterns for Asymmetric Single-Phase Current Source Inverters 非对称单相电流源逆变器不同交错优化门控模式的比较
Hugo Gallardo, Luis Martinez, J. Guzmán, P. Melín, C. Baier, Javier A. Muñoz, E. Espinosa
In previous work, it was proposed to use multilevel current source converters to increase the current capacity as well as improve the harmonic profile of medium voltage and high current drives. Recent publications suggest that both (a) its intrinsic booster characteristics and (b) its easy way to handle independent DC sources operating in parallel make this topology an attractive alternative for the direct connection of photovoltaic plants to the grid. Furthermore, staggered optimized patterns were proposed together to modular topologies regarding the improvement on harmonic profile of injected currents to the grids. One of these techniques are the staggered Selective Harmonic Elimination. An alternative is the straightforward optimization for reduce the error among a time-based reference and the modulated current pattern. This work presents a comparison between three optimized patterns for the operation of staggered patterns in current source converters, for both symmetric and asymmetric cases. Theoretical results that are validated by simulation are presented.
在以前的工作中,提出了使用多电平电流源变换器来增加电流容量,并改善中压和大电流驱动的谐波分布。最近的出版物表明:(a)其固有的升压特性和(b)其易于处理并联运行的独立直流电源的方法使这种拓扑结构成为光伏电站与电网直接连接的有吸引力的替代方案。此外,针对电网注入电流谐波分布的改善,在模块化拓扑中提出了交错优化模式。其中一种技术是交错选择性谐波消除。另一种选择是直接优化,以减少基于时间的参考和调制电流模式之间的误差。这项工作提出了三种优化模式的交错模式的操作在电流源转换器,对称和非对称的情况下的比较。通过仿真验证了理论结果。
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引用次数: 0
Common-Mode Voltage Reduction in a VSI Inverter Applying Sequential Predictive Control 应用序贯预测控制的VSI逆变器共模电压降低
D. Murillo-Yarce, M. Rivera, C. Restrepo, Javier A. Muñoz, C. Baier, R. Rodríguez, P. Wheeler, P. Zanchetta, G. Mirzaeva
In the classical predictive control (CPC) implementation a cost function designed in terms of the control objectives and constants known as weighting factors must be minimized. Weighting factors are usually obtained by trial and error since there is no methodology to find the best factors, which also improve the controller performance. One possible solution is sequential predictive control (SPC) that proposes to eliminate weighting factors by sequential evaluation of simple cost functions. The contribution of this work is to analyze in detail the SPC performance and compare the results with a classic predictive current controller, in a VSI converter feeding an RL load where common-mode voltage is also reduced. Matlab/Simulink simulation results show that the SPC technique is able to reduce the common-mode voltage by half and still obtaining a balanced current system with an allowable THD, which is not feasible for the CPC technique. These findings demonstrate that SPC can improve results obtained with CPC without using weighting factors.
在经典的预测控制(CPC)实现中,根据控制目标和称为权重因子的常数设计的成本函数必须最小化。加权因子通常是通过试错法获得的,因为没有找到最佳因子的方法,这也提高了控制器的性能。一种可能的解决方案是顺序预测控制(SPC),它建议通过简单成本函数的顺序评估来消除权重因素。这项工作的贡献是详细分析SPC性能,并将结果与经典的预测电流控制器进行比较,在VSI转换器中馈送RL负载,其中共模电压也降低了。Matlab/Simulink仿真结果表明,SPC技术能够将共模电压降低一半,并且仍然获得具有允许THD的平衡电流系统,这对于CPC技术来说是不可行的。这些发现表明SPC可以在不使用加权因子的情况下改善CPC获得的结果。
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引用次数: 2
A causal modelling for desertion and graduation prediction using Bayesian networks: a Chilean case 用贝叶斯网络进行遗弃和毕业预测的因果模型:智利案例
B. Peralta, Jorge Salazar, M. Lévano, O. Nicolis
Currently the high rates of university dropouts and low graduation are social problems that are very relevant in Chilean society. Predicting these events can allow institutions to take action to avoid them. The typical prediction models based on machine learning are capable of making reliable predictions, however they do not allow to understand the causality that originates both events, which could help to take better actions. This work proposes to find, analyze and weigh the causal relationships that allow predicting whether a student will drop out or will graduate according to the information available using a framework with Bayesian networks. The study is based on real data from the Universidad Católica de Temuco in Chile collected over three years. The results reveal variables and relevant relationships according the opinion of human experts, which suggest that the proposed model provides better capabilities to represent the causality of university dropout and graduation. From the results we believe that it is feasible to design better retention policies and timely degree at a university.
目前,高大学辍学率和低毕业率是智利社会非常相关的社会问题。预测这些事件可以让机构采取行动来避免它们。基于机器学习的典型预测模型能够做出可靠的预测,但是它们不允许理解导致这两个事件的因果关系,这可能有助于采取更好的行动。这项工作建议找到、分析和权衡因果关系,这些因果关系允许根据使用贝叶斯网络框架的可用信息预测学生是否会辍学或毕业。这项研究是基于智利特穆科大学(Católica de Temuco)三年多来收集的真实数据。结果表明,该模型能够较好地反映大学辍学与毕业的因果关系。从结果来看,我们认为设计更好的留人政策和及时授予权是可行的。
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引用次数: 0
Visual recognition incorporating features of self-supervised models for the use of unlabelled data 结合自监督模型特征的视觉识别,用于使用未标记的数据
G. Díaz, O. Nicolis, B. Peralta
Automatic visual object recognition has gained great popularity in the world and is successfully applied to various areas such as robotics, security or commerce using deep learning techniques. Training in machine learning models based on deep learning requires an enormous amount of supervised data, which is expensive to obtain. An alternative is to use semi-supervised models as co-training where the views given by deep networks are differentiated using models that incorporate lateral information from each training object. In this document, we describe and test a co-training model for deep networks, adding as auxiliary inputs to self-supervised network features. The results show that the proposed model managed to converge using a few dozen iterations, exceeding 2 % in precision compared to recent models. This model, despite its simplicity, manages to be competitive with more complex recent works. As future work, we plan to modify deep self-supervised networks to increase diversity in co-training learning.
自动视觉对象识别在世界范围内获得了极大的普及,并成功地应用于机器人、安全或商业等各个领域。基于深度学习的机器学习模型的训练需要大量的监督数据,而这些数据的获取成本很高。另一种选择是使用半监督模型作为协同训练,其中使用包含来自每个训练对象的横向信息的模型来区分深度网络给出的视图。在本文中,我们描述并测试了深度网络的协同训练模型,将自监督网络特征添加为辅助输入。结果表明,所提出的模型通过几十次迭代就能收敛,与现有模型相比精度超过2%。这个模型,尽管很简单,但却能与最近更复杂的作品竞争。作为未来的工作,我们计划修改深度自监督网络,以增加共同训练学习的多样性。
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引用次数: 0
Strong stability for multivariable LTI systems 多变量LTI系统的强稳定性
R. G. Orozco
In a proposed Observer-Controller Feedback Configuration (OCFC), a class of proper multivariable causal Linear Time-Invariant (LTI) square systems with a detectable and stabilizable realization, is considered. This configuration is based on pseudo-inverses of the input and output matrices, as well as linear robust pre-compensator $K_{1}(s)$ and dual post-compensator $K_{2}(s)$ stabilizing a full actuation full information plant. $K_{1}(s)$ and $K_{2}(s)$ are low-complexity controllers that belong to the Family of All Stabilizing Controllers (FASC) and their free control parameters are selected to achieve strong stability. The separation principle is fulfilled, and necessary and sufficient stability conditions are provided for the overall system to achieve a stable closed-loop system and stable controller. An algebraic approach is used to find these stability conditions that are useful for the pole placement control problem. A simulation of a mechanical system is used to demonstrate the findings.
在一种被提出的观察者-控制器反馈配置(OCFC)中,考虑了一类具有可检测和可稳定实现的适当多变量因果线性时不变(LTI)平方系统。该结构基于输入和输出矩阵的伪逆,以及线性鲁棒预补偿器K_{1}(s)$和对偶后补偿器K_{2}(s)$来稳定全致动全信息对象。$K_{1}(s)$和$K_{2}(s)$是低复杂度控制器,属于所有稳定控制器族(Family of All stabilization controllers, FASC),它们的自由控制参数被选择以达到强稳定性。实现了分离原则,为整个系统实现稳定的闭环系统和稳定的控制器提供了必要和充分的稳定条件。用代数方法求出了这些稳定条件,这些条件对极点放置控制问题是有用的。一个机械系统的模拟被用来证明这些发现。
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引用次数: 0
LQR and PID Control Design for a Pneumatic Diaphragm Valve 气动隔膜阀的LQR和PID控制设计
G. Conte, F. Marques, Claudio Garcia
This work demonstrates the design and compares the performance of two different digital control techniques for a modeled pneumatic diaphragm valve. The valve model is derived using first-principles modeling, the Karnopp friction model and approximates the I/P converter dynamics with a first order filter. The digital PID and LQR controllers were chosen to compensate the valve friction. A proposed contribution is to implement a digital LQR control using the Bryson rule and the Pincer technique to tune the matrices Q and R based on requirements response, maximum deviation of states variables and control effort. The robustness of the LQR controller compared to the PID controller is presented in this paper.
这项工作演示了设计,并比较了两种不同的数字控制技术的性能,用于模拟气动隔膜阀。阀模型采用第一性原理建模、Karnopp摩擦模型推导,并使用一阶滤波器近似I/P转换器动力学。采用数字PID和LQR控制器对阀门的摩擦进行补偿。建议的贡献是使用Bryson规则和钳子技术实现数字LQR控制,根据需求响应、状态变量的最大偏差和控制努力来调整矩阵Q和R。本文比较了LQR控制器与PID控制器的鲁棒性。
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引用次数: 0
期刊
2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
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