Heba Youssef, Mohamed H. Hassan, S. Kamel, S. Elsayed
{"title":"Parameter Estimation of Single Phase Transformer Using Jellyfish Search Optimizer Algorithm","authors":"Heba Youssef, Mohamed H. Hassan, S. Kamel, S. Elsayed","doi":"10.1109/ICAACCA51523.2021.9465279","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465279","url":null,"abstract":"In this paper, new application of Jellyfish search optimizer algorithm (JS) is proposed to estimate the parameters of single-phase power transformer which is one of the most important engineering problems. JS algorithm simulates the motion jellyfish in the ocean. This study aims to estimate the parameters of equivalent circuit of single-phase transformer by current and voltage values at any different load. Through algorithm, difference between actual data and estimated parameter values, the error, is taken as the main objective function that must be minimized. Experiential verifications are done on 4 kVA, 250/125 V, 50 Hz single-phase transformer. The obtained results using JS determine accurate parameters of transformer equivalent circuit. These results prove that the applied algorithm can be used for parameters estimation of single-phase transformer.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114288988","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":"Assessing Machine learning-based approaches for Silica concentration estimation in Iron Froth flotation","authors":"Mauricio Montanares, Sebastián Guajardo, Iván Aguilera, Nathalie Risso","doi":"10.1109/ICAACCA51523.2021.9465297","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465297","url":null,"abstract":"In the mining industry, specifically in the flotation process, there is a challenge associated to noninvasive, real-time contaminant and impurities estimation. Achieving predictions on contaminant levels has a high impact on quality insurance and it can help technicians and engineers to make adjustments in advance to improve the quality of the final product, and thus profits. In this paper, exploratory research is performed on the problem of silica concentrate estimation for iron ore froth flotation using machine learning techniques, with the goal to identify algorithms that may be suitable for industry soft sensor development. For this purpose, a public, real process dataset is used and three different machine learning techniques are implemented: Random Forest (RF), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). The techniques were implemented, tested and compared in terms of their error percentage, mean absolute error, mean square error, and root mean square error. Obtained results show acceptable performance for LTSM and GRU implementations, being LSTM network the out-performer with errors below 9%.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886237","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}
Ashraf Ramadan, Mohamed Ebeed, S. Kamel, C. Rahmann
{"title":"Optimal Allocation of Solar-Wind based DG Considering Uncertainty Using Improved Grasshopper Algorithm","authors":"Ashraf Ramadan, Mohamed Ebeed, S. Kamel, C. Rahmann","doi":"10.1109/ICAACCA51523.2021.9465200","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465200","url":null,"abstract":"Grasshopper optimization algorithm (GOA) is an efficient technique which mimics the movement orientation and lifestyle of grasshopper in natural. However, the GOA is applied for solve successfully numerous optimizations problem, it failed to solve other cases efficiently and it prone to stuck in local optima. Thus, an improved version of the GOA is proposed to enhance the performance the conventional GOA. The improved GOA (IGOA) is based on improving the exploration and the exploitation process of the GOA. The exploration is enhanced using a mutation operator to enable the algorithm to a new area to avoid the stagnation of this technique while the exploitation process is enhanced using an adaptive operator to update the positions of the grasshopper around the best so far solution. In this paper, the IGOA is applied to address the allocation problem of renewable energy resources in radial distribution grid (RDG). The renewable resources include hybrid solar wind based Distributed Generator (DG) units for the expected power loss minimization to consider the uncertainty in the electric system. The IGOA is tested on 85-bus distribution grid and the captured results are compared with the traditional GOA to verify its applicability and efficiency. Numerous scenarios are generated using Monte-Carlo simulation to take into consideration the uncertainties of system which include load demands, solar irradiation, and wind speed variations. The simulation results demonstrate that the IGOA is superior for addressing the allocation problem of DG compared with traditional GOA in terms of objective function.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133387387","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}
A. Rienzo, Valentina Soza, M. Bustamante, G. Lefranc
{"title":"Analysis of Kinesiological Rehabilitation Technologies in patients with Stroke Vascular","authors":"A. Rienzo, Valentina Soza, M. Bustamante, G. Lefranc","doi":"10.1109/ICAACCA51523.2021.9465197","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465197","url":null,"abstract":"Stroke (CVA) is the second leading cause of death and the third leading cause of disability in the world. A large proportion of adults who survive such an accident can recover; however, this is achieved after going through a long process of kinesiology rehabilitation. In recent times, there are numerous advances in medical equipment, systems and applications that allow a progressive recovery from the consequences caused by this type of accident. The purpose of this work is to analyze the state of the art in which kinesiological rehabilitation technologies are found, through a systematic review of the literature, which also allows to determine the effectiveness of the application of these technologies in the recovery of patients. Motor rehabilitation technologies, based on virtual reality environments and robotic equipment, were identified for adult patients who present hemiparesis or hemiplegia. A great variation was found in the treatments and scales used for its evaluation, in the motor functionality of the upper and lower limb. In the case of robotic technologies, improvements in the range of motion of the limbs, gait and functionality of the upper limbs and muscular endurance stood out. Also, it highlights the adherence of patients to therapies with virtual reality technologies, since these were partly stimulating and enhanced positive aspects such as self-esteem. The work represents a contribution to engineers, who are interested in specializing in patient rehabilitation technologies.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116772969","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":"Smart Greenhouse for economic reactivation","authors":"J. Mardones, R. Acuña, Emil Osorio","doi":"10.1109/ICAACCA51523.2021.9465255","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465255","url":null,"abstract":"Horticulture at Los Ríos Region it keeps as subsistence activity with low scale seasonal productions and weak articulation with market. In spite of economic and productive potential of heading, demand is supplied with a majority stake of “imports” from other regions. Added to the above, adverse weather, scarce technology incorporation, inefficient energy use, weaknesses in the business model, prevent adequate resource exploitation. Greenhouse is a tool to avoid several difficulties mentioned, but the model used are brought from central area of Chile, then then don't comply with all conditions for good results. This work describe the introduction of technological package for automate the control of several variables adapted to an specially architectural design for southern conditions and that has as a main constraint a value not higher than CL$ 4.000.000.- For that, the electronic design of control system and his postmaintenance process must be easy and cheap. In this way, a support of great value is provided to improvement of vegetable production to small farmers in the southernsouthern zone of Chile, promoting quality and associativity and, therefore, contributing to the regional economic reactivation.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125773463","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":"Elements for the implementation of ISO/IEC 17025 in Angolan public laboratories","authors":"M. Gaspar, Martha T. Ramírez-Valdivia","doi":"10.1109/ICAACCA51523.2021.9465331","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465331","url":null,"abstract":"Implementing Quality Management Systems to meet the requirements of ISO/IEC 17025 is a vital initiative in accrediting that a laboratory has the competency requirements to perform testing and calibration activities. This work presents the perception of various stakeholders regarding the key elements that facilitate or impede the implementation and use of such standard in Angolan public laboratories. The results obtained show that senior management participation, resource availability, and staff training contribute to successfully achieve and maintain the standard in order to improve their competence and to promote confidence on their services.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126028458","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}
Álvaro Palma, Jesús Moreno, J. Palma, Rocío Domínguez, J. Rohten, Vladimir Esparza
{"title":"Comprehensive Review of Torque and Vectoring Control for Electrical Powertrains","authors":"Álvaro Palma, Jesús Moreno, J. Palma, Rocío Domínguez, J. Rohten, Vladimir Esparza","doi":"10.1109/ICAACCA51523.2021.9465335","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465335","url":null,"abstract":"In the last few years, a rise in the planet earth pollution has brought forward a necesity for renewable energies and different ways to exploit them in order to replace coal, oil and gas. In this context, the entire world is looking forward to produce electricity by the means of -mainly- solar and wind energy, but also searching for other clean alternatives. This electricity may be used to transport people into and out of the cities, helping to reduce pollution gases that every day saturates big towns. In fact, it is expected for electromobility to be the most important way to transport people by 2050, and therefore, the design and development of proper control algorithms for electric machines become imperative in order to improve driving and safety in modern powertrains. This paper studies and reviews some of the most important works, with a special mention about, regenerative braking, grip improvement, and vectorial torque control considering the entire car dynamics. As results, this document shows the importance of proper electric powertrain control such as MPC (model predictive control) which helps with critical safety decisions that make the car stable, DTC (direct torque control) which labor is to ensure the right amount of torque is produced by the power unit in order to comply with the decisions made by the MPC or the Fuzzy Logic Controllers. All these control strategies make cars even more flexible, safe and robust than traditional combustion ones.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123529820","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}
Diego Tapia, Broderick Crawford, Ricardo Soto, W. Palma, José Lemus-Romani, Felipe Cisternas-Caneo, Mauricio Castillo, Marcelo Becerra-Rozas, F. Paredes, S. Misra
{"title":"Embedding Q-Learning in the selection of metaheuristic operators: The enhanced binary grey wolf optimizer case","authors":"Diego Tapia, Broderick Crawford, Ricardo Soto, W. Palma, José Lemus-Romani, Felipe Cisternas-Caneo, Mauricio Castillo, Marcelo Becerra-Rozas, F. Paredes, S. Misra","doi":"10.1109/ICAACCA51523.2021.9465259","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465259","url":null,"abstract":"In the different situations present in the industry, combinatorial problems are increasingly frequent. This paper presents the interaction of Metaheuristics and Machine Learning, specifically as Machine Learning can be a support to enhance Metaheuristics. The resolution of the Set Covering Problem is presented, using the Grey Wolf Optimizer and Sine Cosine Algorithm metaheuristics that have been improved by adding a Q-Learning technique for the selection of a Discretization Scheme, using two-steps, intelligently choosing which transfer function to use and which binarization technique to apply in each iteration. The results show a better result for the Grey Wolf Optimizer with Q-Learning configuration, compared to other configurations in the literature, obtaining a better balance between exploration and exploitation.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130022612","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}
S. Ibrahim, S. Kamel, Mohamed H. Hassan, S. Elsayed, L. Nasrat
{"title":"Developed Algorithm Based on Supply-Demand-Based Optimizer for Parameters Estimation of Induction Motor","authors":"S. Ibrahim, S. Kamel, Mohamed H. Hassan, S. Elsayed, L. Nasrat","doi":"10.1109/ICAACCA51523.2021.9465231","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465231","url":null,"abstract":"One of the most important topics that receive great attention due to its environmental consequences is the issue of the optimal use of electrical energy. In other ways, the induction motors of most industries are the main component as they consume the highest percentage of energy and this consumption depends on the internal parameters that control the operating conditions of the motor. Despite the success of applying many algorithms to calculate the parameters of induction motors, these algorithms have important defects; they often get suboptimal solutions as a result of an improper balance between exploitation and exploration in their search strategies. This paper applies a demand-based optimization (SDO) as an efficient and simple algorithm for estimating equivalent circuit parameters of induction motors. The variation between the calculated and manufacturer data are minimized as objective functions which considered in the torque (starting torque, maximum torque, and full load torque) and full load power factor. The results indicate that the SDO is superior as it has a less deviation than the results obtained with five recent techniques.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129196976","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":"Mathematical modeling in a MATLAB environment for a triple effect evaporation system for the non-centrifugal sugar production process","authors":"Angel Pineda-Sanchez, Daniel Marcelo-Aldana","doi":"10.1109/ICAACCA51523.2021.9465339","DOIUrl":"https://doi.org/10.1109/ICAACCA51523.2021.9465339","url":null,"abstract":"The aim of this research is to determine the most suitable configuration for an arrangement of closed evaporators that make up an evaporation system fed by the steam from a bagasse boiler as part of the non-centrifuged sugar (jaggery) production process. The aim is also to evaluate the energy saving that can be made by adding closed evaporation stages to the system. This numerical analysis involves the thermodynamic analysis of the evaporation process, including both energy and mass balance for each part of the evaporation system. A parametric analysis is included to determine the nature of the impact of the feed steam pressure and temperature, and the impact of the number of effects on the initial energy requirements. Taking as a model the NCS capacity of the Santa Rosa de Chonta plant, located in the district of Montero, Ayabaca (Peru), the general sizing of the evaporators is carried out. This plant has a production capacity of approximately 90 kg of jaggery (panela)/hour.","PeriodicalId":328922,"journal":{"name":"2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117271129","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}