2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献

Induced voltage unbalance on a permanent magnet motor with armature failures 永磁电机电枢故障时的感应电压不平衡

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036313

J. Alvarez, E. Peralta, F. Espino

引用次数: 2

A current mode control for a single phase full bridge Power Factor Compensator 单相全桥功率因数补偿器的电流模式控制

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036285

P. Martinez‐Rodriguez, G. Escobar, J. M. Sosa, G. Vázquez, J. Mendoza, C. A. Limones

{"title":"A current mode control for a single phase full bridge Power Factor Compensator","authors":"P. Martinez‐Rodriguez, G. Escobar, J. M. Sosa, G. Vázquez, J. Mendoza, C. A. Limones","doi":"10.1109/ROPEC.2014.7036285","DOIUrl":"https://doi.org/10.1109/ROPEC.2014.7036285","url":null,"abstract":"In this paper is presented a model based current controller for a Single Phase Power Factor Compensator (PFC). The proposed controller is based a description of the average model of the system. This control scheme is designed in two loops, namely the inner control loop or current loop and the outer loop or voltage loop. The first loop is aimed at compensating reactive power and current harmonic distortion in a single phase system, i.e. at guaranteeing a power factor close to unity. An adaptation scheme is introduced to cope with harmonic uncertainties in the system signals and system parameters. Additionally, an estimate of the series resistance is proposed to cope with the series resistor of the filter. The adaptation schemes proposed in the control law are reduced to a bank of resonant filters. These filters are tuned at the frequencies of the harmonics under compensation, which provides precise selective harmonic compensation. The second loop is designed to regulate the voltage load and it consists of a well known Integral plus Proportional controller (PI). Given that the output of the PI controller is a modulating signal which is used to construct the current reference, it has to include a Low Pass Filter (LPF) to restrict the bandwidth of the controller and avoid the harmonic pollution in a current reference which is produced by the rectification process. The topology selected for the PFC consists of a single phase full-bridge Voltage Source Inverter (VSI). The proposed control scheme and the power converter has been simulated and the results are presented here.","PeriodicalId":357133,"journal":{"name":"2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128657536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Comparison between Genetic Programming and full model selection on classification problems 遗传规划与全模型选择在分类问题上的比较

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036349

José María Valencia-Ramírez, Julio A. Raya, J. R. Cedeño, R. R. Suárez, H. Escalante, Mario Graff

{"title":"Comparison between Genetic Programming and full model selection on classification problems","authors":"José María Valencia-Ramírez, Julio A. Raya, J. R. Cedeño, R. R. Suárez, H. Escalante, Mario Graff","doi":"10.1109/ROPEC.2014.7036349","DOIUrl":"https://doi.org/10.1109/ROPEC.2014.7036349","url":null,"abstract":"Genetic Programming (GP) has been shown to be a competitive classification technique. GP is generally enhanced with a novel crossover, mutation, or selection mechanism, in order to compare the performance of this improvement with the performance of a standard GP. Although these comparisons show the capabilities of GP, it also makes harder, for a new comer, to figure out whether a traditional GP would have a competitive classification performance, when compared to state-of-the-art techniques. In this work, we try to fill this gap by comparing a standard GP, a GP with minor modifications and a ensemble of GP with two competitive techniques, namely support vector machines and a procedure that performs full model selection (Particle Swarm Model Selection). The results show that GP has better performance on problems with high dimensionality and large training sets and it is competitive on the rest of the problems tested. The former result is interesting because while Particle Swarm Model Selection is tailored to perform a data preprocessing and feature selection, GP is automatically performing these tasks and producing better classifiers.","PeriodicalId":357133,"journal":{"name":"2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128058603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

MMC technology and its participation in the integration of variable renewable energies and implementation of DC grids MMC技术及其参与可变可再生能源的整合和直流电网的实施

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036319

L. Zuñiga-García, A. Zaragoza-Hernandez, J. M. Nadal-Martinez, G. A. Anaya-Ruiz, E. Moreno-Goytia, L. E. Ugalde-Caballero, V. Venegas-Rebollar

引用次数: 16

Computation of the voltage oscillatory stability boundary by a direct method 用直接法计算电压振荡稳定边界

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036317

Miguel Chavez-Lugo, C. Fuerte-Esquivel

引用次数: 1

Genetic Programming: Semantic point mutation operator based on the partial derivative error 遗传规划:基于偏导数误差的语义点突变算子

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036344

Mario Graff, J. Flores, Jose Ortiz Bejar

引用次数: 4

Virtual speed sensor for DC motor using back-propagation artificial neural networks 基于反向传播人工神经网络的直流电机虚拟速度传感器

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036283

J. V. Montesdeoca-Contreras, J. Zambrano-Abad, J. A. Morales-Garcia, R. S. Avila-Campoverde

{"title":"Virtual speed sensor for DC motor using back-propagation artificial neural networks","authors":"J. V. Montesdeoca-Contreras, J. Zambrano-Abad, J. A. Morales-Garcia, R. S. Avila-Campoverde","doi":"10.1109/ROPEC.2014.7036283","DOIUrl":"https://doi.org/10.1109/ROPEC.2014.7036283","url":null,"abstract":"The use of artificial neural networks has enabled applications that would be impossible to achieve with conventional electronics, through to versatility that them have, they can be configured as needed and use as required such as classifiers, adaptive filters, controllers and predictors. This paper describes a experimental implementation of virtual speed sensor for DC motor using back-propagation artificial neural networks through voltage and current acquisition. In implementation process a comparative between both logsig and tansig activation function in hidden layer is made. The training of the neural network is performed by acquiring signals of voltage, current and speed sensor, later the response efficiency of the network is analyzed by comparing the result produced by physical sensor and virtual sensor implemented using neural networks. In this experiment training pattern values has a large range, a several process training with both small and large section range is made. Results show a good performance and a minimum error with both logsig and tansig activation function in hidden layer when pattern signal is full training.","PeriodicalId":357133,"journal":{"name":"2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114996534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Inverse optimal control on electric power conversion 电力转换的逆最优控制

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036320

C. Vega, R. Alzate

引用次数: 14

An empirical comparison of two crossover operators in real-coded genetic algorithms for constrained numerical optimization problems 约束数值优化问题实数编码遗传算法中两个交叉算子的经验比较

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036347

Adriana Cervantes-Castillo, E. Mezura-Montes, C. Coello

引用次数: 5

Real-time simulation of a buck converter for educational purposes in a LabVIEW®-programmed FPGA LabVIEW®编程FPGA中用于教学目的的降压转换器的实时仿真

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2014-11-01 DOI: 10.1109/ROPEC.2014.7036306

M. Heras Cervantes, M. G. Ramirez, J. Correa Gómez, A. T. Anguiano, F. Martinez Cardenas

引用次数: 2