M. Gaiceanu, Răzvan Buhosu, Iulian Ghenea, Cristian Vidan
{"title":"Complete regenerative distributed drive system","authors":"M. Gaiceanu, Răzvan Buhosu, Iulian Ghenea, Cristian Vidan","doi":"10.1109/ISEEE.2017.8170687","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170687","url":null,"abstract":"The paper is a result of the authors' researches in the field of energy area. The objective is to develop a power grid converter which includes all fundamental drive systems being capable to regenerate the energy into the grid. The topology fits very well to the hybrid renewable power systems, in order to control the green energy. Three-types of the electrical drives were included: the dc drive, the Induction Machine (IM)-based drive and the Permanent Magnet Synchronous Machine (PMSM) one. These drives are connected to the active loads, i.e. the load becomes under certain conditions as source. In order to deliver the energy from the active loads into the grid, the voltage source power converter (VSC) is used. By using the vector control the quasi unity power factor can be obtained. The cascaded control of the VSC assures the independent loop control of the active and reactive power. Additionally, the dc link voltage is maintained to the rated value through the outer loop control. Taking into consideration the different time constants between the cascaded control loops, the speed response of the outer loop should be increased when the perturbations of the system appears. The feedforward power control is one of the solution used in this paper. The cascaded loop control is also used for the load side. The vector control of both the induction machine and permanent synchronous magnet machine conducts to the increased performances of the overall system. For the dc drive, the full bridge dc-dc power converter ensures the bidirectional path for the circulated energy. The control parameters of the overall system are designed. The provided numerical simulation results underline the correctness of the proposed solution.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131428141","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}
{"title":"Fault detection method for a wastewater treatment process based on a neural model","authors":"M. Miron, L. Frangu, S. Caraman","doi":"10.1109/ISEEE.2017.8170684","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170684","url":null,"abstract":"In this paper is presented a fault detection method for a biological wastewater treatment process (WWTP) based on residual generation. The residuals were determined by comparing the process model affected by different faults with its neural model. The simulation results demonstrate that this approach is efficient for detecting faults which occurs in biotechnological processes.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125401700","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}
{"title":"Real-time trajectory tracking control for electric-powered wheelchairs using model-based multivariable sliding mode control","authors":"K. K. Ayten, A. Dumlu, Alirıza Kaleli","doi":"10.1109/ISEEE.2017.8170636","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170636","url":null,"abstract":"In this paper, real-time trajectory tracking control of an electric-powered wheelchair (EPW), actuated by two DC motors, has been designed, analysed and studied. Two different control approaches such as nonlinear SMC and the classical proportional–integral–derivative (PID) are employed to increase the tracking performance of the electric-powered wheelchair. A nonlinear SMC technique has been presented in order to consider the complete dynamic model of the EPW and so as to increase trajectory tracking performance of the EPW. In this study, realtime experimental application of the two different control methods has been realized. Lastly, in terms of the results, the nonlinear SMC technique has improved the trajectory tracking performance of the designed EPW.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131493969","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}
L. Luca, G. Ifrim, E. Ceanga, S. Caraman, M. Barbu, I. Santín, R. Vilanova
{"title":"Optimization of the wastewater treatment processes based on the relaxation method","authors":"L. Luca, G. Ifrim, E. Ceanga, S. Caraman, M. Barbu, I. Santín, R. Vilanova","doi":"10.1109/ISEEE.2017.8170690","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170690","url":null,"abstract":"The use of control engineering in the case of wastewater treatment processes can be an efficient way to improve their performances. This paper deals with implementation and evaluation of an optimization procedure used to determine the optimal values of the setpoints and the fixed command variables from the low level of the control structure. The optimization procedure is based on the relaxation method, the minimum value for each coordinate being determined from a limited number of simulations that covers all the evolution range using the polynomial interpolation. The results are validated on the Benchmark Simulation Model No. 2 using the default control strategy implemented in this software package.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132729492","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}
M. Dumitrescu, G. Gurguiatu, T. Munteanu, D. Balanuta
{"title":"Trends for intelligent power system technical evolution","authors":"M. Dumitrescu, G. Gurguiatu, T. Munteanu, D. Balanuta","doi":"10.1109/ISEEE.2017.8170698","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170698","url":null,"abstract":"This paper presents aspects of the technical evolution in micro-networks efficiency with respect to the power quality and system availability. Different potential approaches for market using are shown. The environmental and economic effects of the micro-networks depends of their implementing phases, like design, commissioning and testing. It can be a lot different than the normal main grid, depending on the type of the distributed energy resource (DER) units, load characteristics, power quality constraints and market participation strategies. Testing the operational tasks of a micro-network is an important issue for the researchers. Possible design, control, testing structures and possible power supply of the consumers studies are a purpose of this paper. A DC micro-network consumers testing study case is presented.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131720150","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}
{"title":"Measurement of the biomass concentration from a bioprocess by image processing techniques","authors":"L. Baicu, S. Caraman, L. Frangu, M. Miron","doi":"10.1109/ISEEE.2017.8170681","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170681","url":null,"abstract":"This paper deals with the measurement of the biomass concentration in a bioprocess, with a final purpose of building an on-line concentration transducer, for the control of a continuous bioprocess. The proposed method is based on processing the images of the target population, captured by a camera under a regular bright field microscope. The image processing algorithm for this method was developed and experimentally validated, in the case of the species Sacharomices cerevisiae. Its main properties are: no human operation required, fast computing (less than 10 sec.), low error level.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121559249","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}
Cristina Nichiforov, Iulia Stamatescu, I. Fagarasan, G. Stamatescu
{"title":"Energy consumption forecasting using ARIMA and neural network models","authors":"Cristina Nichiforov, Iulia Stamatescu, I. Fagarasan, G. Stamatescu","doi":"10.1109/ISEEE.2017.8170657","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170657","url":null,"abstract":"Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two approaches for energy consumption forecast: an autoregressive integrated moving average (ARIMA) model and a non-linear autoregressive neural network (NAR) model. The two models are deeply described and finally compared in order to evaluate their performance.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115411619","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}
{"title":"Sensorless model reference adaptive system control for mobile robot","authors":"A. Dumlu, K. K. Ayten","doi":"10.1109/ISEEE.2017.8170634","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170634","url":null,"abstract":"In this paper, a robust and an efficient tracking controller based on model reference adaptive system (MRAS) technique is performed for mobile robot in order to get the accurate trajectory tracking performance. The model reference adaptive system (MRAS) technique has been presented so as to achieve the estimated value of system's speed information. To estimate the rotor position and speed of the mobile robot system, the MRAS technique is one of the best methods which can be applied to the mobile robot system due to its performance in terms of decrease computational complexity, increase robustness, easy to implement to the systems. In addition, the control scheme of the mobile robot also performs the perfect speed tracking during the motion. All the simulations have verified that the proposed control algorithm is indeed feasible and effective.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122000143","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}
{"title":"A RFID-based tracking approach for building up smart solutions for consumer's safety","authors":"M. Ianculescu, A. Alexandru, E. Tudora","doi":"10.1109/ISEEE.2017.8170660","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170660","url":null,"abstract":"Internet of Things (IoT) proved to have the potential to transform the industrial and consumer's environment. Radio Frequency Identification (RFID) technology, as a primary stage of IoT, has been successfully integrated in the continuous deployment tracking-aiming solutions included into pervasive networks. Three software applications dealing with RFID-based applications for real-time localization of people or products are included in the paper. The first of them presents a solution for the wandering institutionalized senior patients suffering of Alzheimer's disease. The other two are dealing with the monitoring of the supply chains for checking and control the authenticity of products and, respectively, for wheat flour. The software applications present different phases of the software development process that are the design of the architecture of the system, the information flow in the supply chain, and the diagram of the data base.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120961248","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}
{"title":"Screening for illicit psychoactive drugs based on pattern recognition methods","authors":"M. Praisler, Ș. Ciochină, M. Coman","doi":"10.1109/ISEEE.2017.8170700","DOIUrl":"https://doi.org/10.1109/ISEEE.2017.8170700","url":null,"abstract":"We are presenting an exploratory analysis assessing the feasibility of using pattern recognition methods for building an automated system screening in situ for illicit psychoactive drugs of abuse. The study is focused on ephedrine analogues, ergogenic aids which are also the main precursors of the most popular designer drugs, i.e. amphetamines. Each compound included in the training database was first characterized based on its infrared spectrum recorded between 1405 and 1150 cm−1. These spectra have been preprocessed with a feature weight, which enhances the absorptions that are the most specific to each of the modeled classes of compounds. The effect of two feature weights, wE2 and (wE-1)2, on the modeling and discrimination power of the system have been compared by using Principal Component Analysis (PCA) and Agglomerative Cluster Analysis (ACA). The dendrograms have been obtained based on the PCA scores of the modeled compounds. The influence of the number of principal components taken into account to model the targeted classes of illicit drugs is also discussed.","PeriodicalId":276733,"journal":{"name":"2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129822117","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}