Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570943
B. Awoyemi, B. Maharaj
Africa is a rising continent with very high potential and capacity for technological and industrial growth. Broadband communications will play a significant role in the realisation of Africa’s potential. The fourth industrial revolution (4IR), also referred to as Industry 4.0, is rapidly changing the industrial and manufacturing space in Africa through the use of automation and modern technology. A number of emerging communication technologies are working together to help drive the realisation of 4IR. One relevant technology that is very critical to the realisation of 4IR is cognitive radio networks (CRN). The CRN can mitigate the effect of spectrum scarcity and underutilisation by enabling multiple networks to co-use (either simultaneously or opportunistically) a spectrum space, as long as the predefined network conditions are not violated. This paper studies the critical aspects of CRN and their application towards the realisation of 4IR in Africa and beyond.
{"title":"Cognitive Radio Networks Application in the Fourth Industrial Revolution for Africa Development","authors":"B. Awoyemi, B. Maharaj","doi":"10.1109/africon51333.2021.9570943","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570943","url":null,"abstract":"Africa is a rising continent with very high potential and capacity for technological and industrial growth. Broadband communications will play a significant role in the realisation of Africa’s potential. The fourth industrial revolution (4IR), also referred to as Industry 4.0, is rapidly changing the industrial and manufacturing space in Africa through the use of automation and modern technology. A number of emerging communication technologies are working together to help drive the realisation of 4IR. One relevant technology that is very critical to the realisation of 4IR is cognitive radio networks (CRN). The CRN can mitigate the effect of spectrum scarcity and underutilisation by enabling multiple networks to co-use (either simultaneously or opportunistically) a spectrum space, as long as the predefined network conditions are not violated. This paper studies the critical aspects of CRN and their application towards the realisation of 4IR in Africa and beyond.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055787","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570851
Karen Su, Evgeniia Bonnet, F. Mondada
Building on the success of the first North-South cross-continental collaborative educational robotics mission held in November 2015 [1], this paper presents a practical model for scaling the event up into a program for developing countries, particularly those of Africa, where the first edition took place. Past participants in Remote Rescue Thymio II (R2T2) missions, students and educators alike, have shared qualitative observations about its positive educational impact, notably in the areas of Collaboration, Communication, Critical thinking, Creative problem solving, Computational thinking, and Cross-cultural exchange. The proposed framework for delivering R2T2 missions has been adapted to Africa, being specifically designed to tackle the critical challenges of internet connectivity, teacher training and program costs. In so doing, it strives to pave the way for collaboration with partners in African educational ecosystems and North-South funding bodies that share the vision of making collaborative STEM education more accessible and attractive to teachers and schoolchildren around the world.
在2015年11月举行的第一次南北跨大陆合作教育机器人任务成功的基础上[1]，本文提出了一个实用的模型，将该活动扩大到发展中国家的计划，特别是非洲国家，第一版在那里举行。过去参与远程救援Thymio II (R2T2)任务的学生和教育工作者都对其积极的教育影响进行了定性观察，特别是在协作、沟通、批判性思维、创造性解决问题、计算思维和跨文化交流等领域。交付R2T2任务的拟议框架已适用于非洲，专门用于解决互联网连接、教师培训和项目成本等关键挑战。在此过程中，它努力为与非洲教育生态系统中的合作伙伴和南北供资机构的合作铺平道路，这些机构的共同愿景是使STEM协作教育对世界各地的教师和学童更具可及性和吸引力。
{"title":"Developing STEM and Team-working Skills Through Collaborative Space Robotics Missions","authors":"Karen Su, Evgeniia Bonnet, F. Mondada","doi":"10.1109/africon51333.2021.9570851","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570851","url":null,"abstract":"Building on the success of the first North-South cross-continental collaborative educational robotics mission held in November 2015 [1], this paper presents a practical model for scaling the event up into a program for developing countries, particularly those of Africa, where the first edition took place. Past participants in Remote Rescue Thymio II (R2T2) missions, students and educators alike, have shared qualitative observations about its positive educational impact, notably in the areas of Collaboration, Communication, Critical thinking, Creative problem solving, Computational thinking, and Cross-cultural exchange. The proposed framework for delivering R2T2 missions has been adapted to Africa, being specifically designed to tackle the critical challenges of internet connectivity, teacher training and program costs. In so doing, it strives to pave the way for collaboration with partners in African educational ecosystems and North-South funding bodies that share the vision of making collaborative STEM education more accessible and attractive to teachers and schoolchildren around the world.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115018782","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570871
Tapiwa Venge, C. Nyamupangedengu
This paper presents a literature review on the variety of test voltages used in partial discharge (PD) measurements. The relationship between electrical equipment, PD measurement and test voltage has been addressed. Conventional (based on the IEC60270 standard) and unconventional method are the main methods of electrical PD detection and measurement. These methods can be done under on-line and/or off-line conditions with each method having its own advantages and disadvantages. Despite the condition or method of detection, the test voltages presented, among others, are impulse, direct-current (DC), harmonics, damped alternating current (DAC), power frequency voltage and very low frequency (VLF). For each diagnostic test, the most suitable test voltage of choice is selected based on the specifications and requirements of the device under test. However, a single measuring technique might not be sufficient to completely analyze and assess the health status of the insulation. Therefore, the use of multiple techniques may be recommended in order to create a more comprehensive picture and yield better results.
{"title":"A Review of Test Voltages Used in Partial Discharge Measurements","authors":"Tapiwa Venge, C. Nyamupangedengu","doi":"10.1109/africon51333.2021.9570871","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570871","url":null,"abstract":"This paper presents a literature review on the variety of test voltages used in partial discharge (PD) measurements. The relationship between electrical equipment, PD measurement and test voltage has been addressed. Conventional (based on the IEC60270 standard) and unconventional method are the main methods of electrical PD detection and measurement. These methods can be done under on-line and/or off-line conditions with each method having its own advantages and disadvantages. Despite the condition or method of detection, the test voltages presented, among others, are impulse, direct-current (DC), harmonics, damped alternating current (DAC), power frequency voltage and very low frequency (VLF). For each diagnostic test, the most suitable test voltage of choice is selected based on the specifications and requirements of the device under test. However, a single measuring technique might not be sufficient to completely analyze and assess the health status of the insulation. Therefore, the use of multiple techniques may be recommended in order to create a more comprehensive picture and yield better results.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115042107","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570934
Kennedy K. Ronoh, E. Muli, Sam Njuki, Edwin Ngwawe
The Internet of things is currently a fast-emerging technology. Many sectors and industries have currently adopted IoT into their operations. This calls for IoT-trained graduates. Universities worldwide are currently teaching IoT. In this paper we discuss our experiences in teaching an IoT course at the undergraduate level. The paper discusses how we overcame the challenge of identifying IoT course content and the right learning methodology. Various learning methodologies were identified in the literature and compared. Practical and Project Based Learning (PPBL) was chosen as the learning methodology. PPBL is a modified and enhanced version of project-based learning that incorporates students’ project idea incubation. Existing papers on IoT teaching have applied a different learning methodology or do not present a detailed course content that is in line with the latest developments in the IoT industry. This paper further presents the status of IoT teaching and makes recommendations about how IoT teaching can be further adopted in Kenya. Questionnaires were issued to various universities in Kenya to find out the teaching status of IoT and challenges encountered. A questionnaire was also issued to student to find out the impact of the PPBL methodology. Results show that PPBL is an effective learning methodology.
{"title":"Practical and Projects Based Learning for Internet of Things","authors":"Kennedy K. Ronoh, E. Muli, Sam Njuki, Edwin Ngwawe","doi":"10.1109/africon51333.2021.9570934","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570934","url":null,"abstract":"The Internet of things is currently a fast-emerging technology. Many sectors and industries have currently adopted IoT into their operations. This calls for IoT-trained graduates. Universities worldwide are currently teaching IoT. In this paper we discuss our experiences in teaching an IoT course at the undergraduate level. The paper discusses how we overcame the challenge of identifying IoT course content and the right learning methodology. Various learning methodologies were identified in the literature and compared. Practical and Project Based Learning (PPBL) was chosen as the learning methodology. PPBL is a modified and enhanced version of project-based learning that incorporates students’ project idea incubation. Existing papers on IoT teaching have applied a different learning methodology or do not present a detailed course content that is in line with the latest developments in the IoT industry. This paper further presents the status of IoT teaching and makes recommendations about how IoT teaching can be further adopted in Kenya. Questionnaires were issued to various universities in Kenya to find out the teaching status of IoT and challenges encountered. A questionnaire was also issued to student to find out the impact of the PPBL methodology. Results show that PPBL is an effective learning methodology.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122582329","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570914
Flavia Masubelele, Ernest Mnkandla
Turnaround maintenance (TAM) projects are important to the organisation’s overall success. However, the attainment of success in these projects is often a challenge due to the uncertainties in the project. It is well recognised that there are many factors that can influence the success of projects. Such factors have been identified for the success of TAM projects, yet the factors have not been prioritised nor examined based on the stakeholder’s perspectives. The purpose of this paper is to identify and evaluate the critical factors that contribute to the success of TAM projects according to the stakeholders that are involved with TAM projects. A literature survey was conducted to extract a list of success factors in TAM projects and based on the review, a questionnaire survey was developed. The mean item scores were used to rank the importance of the success factors according to the responses of the survey. The results indicated that the commitment of all members of the project is critical for project success. This paper provides a better understanding of the factors that can be used to improve the success of TAM projects. The results also illustrate that the critical success factors vary for the different stakeholders in the project due to their roles in the project.
{"title":"The Identification of Critical Success Factors for Turnaround Maintenance Projects","authors":"Flavia Masubelele, Ernest Mnkandla","doi":"10.1109/africon51333.2021.9570914","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570914","url":null,"abstract":"Turnaround maintenance (TAM) projects are important to the organisation’s overall success. However, the attainment of success in these projects is often a challenge due to the uncertainties in the project. It is well recognised that there are many factors that can influence the success of projects. Such factors have been identified for the success of TAM projects, yet the factors have not been prioritised nor examined based on the stakeholder’s perspectives. The purpose of this paper is to identify and evaluate the critical factors that contribute to the success of TAM projects according to the stakeholders that are involved with TAM projects. A literature survey was conducted to extract a list of success factors in TAM projects and based on the review, a questionnaire survey was developed. The mean item scores were used to rank the importance of the success factors according to the responses of the survey. The results indicated that the commitment of all members of the project is critical for project success. This paper provides a better understanding of the factors that can be used to improve the success of TAM projects. The results also illustrate that the critical success factors vary for the different stakeholders in the project due to their roles in the project.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122802979","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570863
J. Sompo, Kaboko Jean-Jacques Monga, J. Meyer, S. V. Solms
The investigated Q-switching technique is based on the spectral overlap between a Fabry–Perot (F–P) filter and a fiber Bragg grating. This Q-switching concept is implemented in a ring erbium (Er3+)-doped fiber laser configuration. We use a traveling-wave numerical model to study the peak power, the time duration and the pulse shape of the output pulses with respect to the cavity parameters, such as the Er3+-doped fiber length, the pumping power, and the scanning frequency of the fiber F–P tunable filter. The peak power values of 1.8 W, 5.4 W and 5.9 W were obtained for pump powers of 40 mW, 60 mW and 100 mW respectively.
{"title":"Peak Power and Pulse Shape of an Active Q-Switched Fiber Laser Based on Overlap of Narrow Filters","authors":"J. Sompo, Kaboko Jean-Jacques Monga, J. Meyer, S. V. Solms","doi":"10.1109/africon51333.2021.9570863","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570863","url":null,"abstract":"The investigated Q-switching technique is based on the spectral overlap between a Fabry–Perot (F–P) filter and a fiber Bragg grating. This Q-switching concept is implemented in a ring erbium (Er3+)-doped fiber laser configuration. We use a traveling-wave numerical model to study the peak power, the time duration and the pulse shape of the output pulses with respect to the cavity parameters, such as the Er3+-doped fiber length, the pumping power, and the scanning frequency of the fiber F–P tunable filter. The peak power values of 1.8 W, 5.4 W and 5.9 W were obtained for pump powers of 40 mW, 60 mW and 100 mW respectively.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122910745","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9571019
Learn L. Chiloane, Gerald K. Kirui, Yu-Chieh J. Yen
Utility-implemented load-shedding aims to balance the supply and demand of a constrained power grid for a scheduled period of time by switching off supply to selected regions. The unintended consequence of this strategy occurs at the return of supply, where an instantaneous peak demand is experienced as an impulse at localised points of the power system. This results in frequent trips on medium voltage breakers that can damage infrastructure and result in delayed return of supply to end-users. The aim of this paper is to examine demand-side management interventions using intelligent control of electric water heaters (EWHs) to reduce the instantaneous peak demand at return of supply. Domestic water heating load was chosen as it is a deferrable, dispatchable, passive load with a high power requirement. The approach taken simulates the loading effect of 3 600 EWHs using three measured tank states and the combination of the Monte Carlo algorithm for probabilistic population behaviour. A typical 150-litre, 3 kW EWH in horizontal orientation is used, with a maximum draw volume of 50-litre per tank per day. It is shown that system changes to load-shedding schedules from a period of 4.5-hours to 2.5-hours beneficially reduces the instantaneous peak demand with the shorter period. For a 3 600 EWH-population, simulated results comparing uniformly distributed stochastic delays for activation time windows within 15, 30, 45, and 60 minutes show that a 15-minute activation time window could reduce the expected peak demand by a factor of two. This is important because intelligent controller retrofits onto EWHs is becoming more ubiquitous and if this simple sub-routine is built-in to produce a short delay after a period of no supply, it could result in significant passive impact on the power grid.
{"title":"Demand Reduction of Electric Water Heaters for Load-Shedding Recovery using Stochastic Control","authors":"Learn L. Chiloane, Gerald K. Kirui, Yu-Chieh J. Yen","doi":"10.1109/africon51333.2021.9571019","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9571019","url":null,"abstract":"Utility-implemented load-shedding aims to balance the supply and demand of a constrained power grid for a scheduled period of time by switching off supply to selected regions. The unintended consequence of this strategy occurs at the return of supply, where an instantaneous peak demand is experienced as an impulse at localised points of the power system. This results in frequent trips on medium voltage breakers that can damage infrastructure and result in delayed return of supply to end-users. The aim of this paper is to examine demand-side management interventions using intelligent control of electric water heaters (EWHs) to reduce the instantaneous peak demand at return of supply. Domestic water heating load was chosen as it is a deferrable, dispatchable, passive load with a high power requirement. The approach taken simulates the loading effect of 3 600 EWHs using three measured tank states and the combination of the Monte Carlo algorithm for probabilistic population behaviour. A typical 150-litre, 3 kW EWH in horizontal orientation is used, with a maximum draw volume of 50-litre per tank per day. It is shown that system changes to load-shedding schedules from a period of 4.5-hours to 2.5-hours beneficially reduces the instantaneous peak demand with the shorter period. For a 3 600 EWH-population, simulated results comparing uniformly distributed stochastic delays for activation time windows within 15, 30, 45, and 60 minutes show that a 15-minute activation time window could reduce the expected peak demand by a factor of two. This is important because intelligent controller retrofits onto EWHs is becoming more ubiquitous and if this simple sub-routine is built-in to produce a short delay after a period of no supply, it could result in significant passive impact on the power grid.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122181240","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570986
L. C. Tabata, Clement N. Nyirenda
The objective of this study is to identify cephalometric landmarks on 2D cephalograms (X-rays) using a two-stage Artificial Intelligence (AI) based object detection method. The proposed work implements a Faster Region-based Convolutional Neural Network (Faster R-CNN), a deep-neural network, which consists of a 50 layered Residual Network (ResNet50) with Feature Pyramid Network (FPN) as a backbone network. The algorithm is trained and tested on a dataset presented in the IEEE International Symposium on Biomedical Imaging Challenge (ISBI-2015). The detection was based on the algorithm’s performance, in terms of mean error and the success rate under the clinically accepted accuracy range of 2 mm. The hypothesis behind this work was that Faster R-CNN will have a difficulty in detecting the landmarks due to either fuzzy features and, or low-resolution representations, but with help of FPN, the performance might be better. Results show that the model achieves approximately 90% and 0.9 mm in terms success rate and mean error respectively. In terms of future work, there is still a need to improve Faster R-CNN performance by increasing or modifying the dataset. Furthermore, the use of a more powerful computational platform would lead to faster training time, which would give room to the implementation of optimization algorithms of the hyper parameters by using evolutionary computation methods.
{"title":"Faster R-CNN Based Cephalometric Landmarks Detection","authors":"L. C. Tabata, Clement N. Nyirenda","doi":"10.1109/africon51333.2021.9570986","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570986","url":null,"abstract":"The objective of this study is to identify cephalometric landmarks on 2D cephalograms (X-rays) using a two-stage Artificial Intelligence (AI) based object detection method. The proposed work implements a Faster Region-based Convolutional Neural Network (Faster R-CNN), a deep-neural network, which consists of a 50 layered Residual Network (ResNet50) with Feature Pyramid Network (FPN) as a backbone network. The algorithm is trained and tested on a dataset presented in the IEEE International Symposium on Biomedical Imaging Challenge (ISBI-2015). The detection was based on the algorithm’s performance, in terms of mean error and the success rate under the clinically accepted accuracy range of 2 mm. The hypothesis behind this work was that Faster R-CNN will have a difficulty in detecting the landmarks due to either fuzzy features and, or low-resolution representations, but with help of FPN, the performance might be better. Results show that the model achieves approximately 90% and 0.9 mm in terms success rate and mean error respectively. In terms of future work, there is still a need to improve Faster R-CNN performance by increasing or modifying the dataset. Furthermore, the use of a more powerful computational platform would lead to faster training time, which would give room to the implementation of optimization algorithms of the hyper parameters by using evolutionary computation methods.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128638587","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570873
A. T. Umoette, O. Okoro, I. Davidson
Speed control of an induction motor using indirect field-oriented control (IFOC) method with space vector pulse width modulation (SVPWM) technique and proportional integral controller is presented and discussed in this paper. A 2.2kW three phase squirrel cage type Induction motor model with field-oriented control was simulated and analyzed using MATLAB/Simulink. The decoupling of the flux and torque producing components, for secondary control was carried out for the actual IFOC of the induction motor drive. The motor performance was analyzed under no-load, variable load, constant speed, and variable speed with load conditions. From the results obtained, the proposed control technique was found to produce satisfactory dynamic response and improved motor performance under these operating conditions.
{"title":"Implementation of Indirect Field Oriented Control of a 2.2kW Three-Phase Induction Motor Using MATLAB Simulink","authors":"A. T. Umoette, O. Okoro, I. Davidson","doi":"10.1109/africon51333.2021.9570873","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570873","url":null,"abstract":"Speed control of an induction motor using indirect field-oriented control (IFOC) method with space vector pulse width modulation (SVPWM) technique and proportional integral controller is presented and discussed in this paper. A 2.2kW three phase squirrel cage type Induction motor model with field-oriented control was simulated and analyzed using MATLAB/Simulink. The decoupling of the flux and torque producing components, for secondary control was carried out for the actual IFOC of the induction motor drive. The motor performance was analyzed under no-load, variable load, constant speed, and variable speed with load conditions. From the results obtained, the proposed control technique was found to produce satisfactory dynamic response and improved motor performance under these operating conditions.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124772708","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}
Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570869
A. Ogunjuyigbe, T. Ayodele, Olufemi Balogun, T. Mosetlhe, A. Yusuff
This paper present the design and implementation of a convenient, cashless, seamlessly automated and fully transparent electricity metering, billing and payment system. This system enables both electricity consumers and the utility company to remotely monitor electricity consumption. It also allows the customer to remotely pay or "recharge" his/her energy meter. The solution combines the power electronic meter with a communications network which in this case uses an RF Transceiver (Wi-Fi Module) and GSM network (SIM card attached). The system is effective and free of corruption since the consumption can be monitored remotely by the utility company and the consumers while being cross-checked with revenue earned.
{"title":"Design and Implementation of an Energy Auto Crediting Scheme for Prepaid Energy Meters","authors":"A. Ogunjuyigbe, T. Ayodele, Olufemi Balogun, T. Mosetlhe, A. Yusuff","doi":"10.1109/africon51333.2021.9570869","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570869","url":null,"abstract":"This paper present the design and implementation of a convenient, cashless, seamlessly automated and fully transparent electricity metering, billing and payment system. This system enables both electricity consumers and the utility company to remotely monitor electricity consumption. It also allows the customer to remotely pay or \"recharge\" his/her energy meter. The solution combines the power electronic meter with a communications network which in this case uses an RF Transceiver (Wi-Fi Module) and GSM network (SIM card attached). The system is effective and free of corruption since the consumption can be monitored remotely by the utility company and the consumers while being cross-checked with revenue earned.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129675321","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：