Pub Date : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974661
Yoshinobu Tanno, Takafumi Hayashi
Industrial development promotes the production of various electronics for contributing to our life. On the other hand, various electronics occur the compatibility trouble about the communication standard. Especially, the compatibility of physical connection standards such as USB or Ethernet is required without the converter of the connector. One way to solve the compatibility of physical connection is the universal connector that enables optimal communication according to the connection partner. The universal connector can be realized by single-wire handshake of pin assignment which automatically negotiates the voltage signal or the role of the pin. After the connection between the pin, all connected pin conducts the single-wire handshake for determining the pin assignment. The single-wire pin assignment handshake consists of the physical half-duplex communication that conducts transmission and reception on one connection line. The physical half-duplex communication requires the single-wire handshake of the communication speed because the multi-pin cannot use for the communication. In addition, the communication speed cannot determine in advance because the connection partner is assumed various for the compatibility. In this paper, we propose the single-wire handshake which automatically adjusts the communication speeds for the universal connector. Moreover, the feasibility of our method is evaluated by the analysis result of the voltage signal between electronics.
{"title":"A novel single-wire digital handshake of communication speed for universal connector","authors":"Yoshinobu Tanno, Takafumi Hayashi","doi":"10.1109/ICECIE47765.2019.8974661","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974661","url":null,"abstract":"Industrial development promotes the production of various electronics for contributing to our life. On the other hand, various electronics occur the compatibility trouble about the communication standard. Especially, the compatibility of physical connection standards such as USB or Ethernet is required without the converter of the connector. One way to solve the compatibility of physical connection is the universal connector that enables optimal communication according to the connection partner. The universal connector can be realized by single-wire handshake of pin assignment which automatically negotiates the voltage signal or the role of the pin. After the connection between the pin, all connected pin conducts the single-wire handshake for determining the pin assignment. The single-wire pin assignment handshake consists of the physical half-duplex communication that conducts transmission and reception on one connection line. The physical half-duplex communication requires the single-wire handshake of the communication speed because the multi-pin cannot use for the communication. In addition, the communication speed cannot determine in advance because the connection partner is assumed various for the compatibility. In this paper, we propose the single-wire handshake which automatically adjusts the communication speeds for the universal connector. Moreover, the feasibility of our method is evaluated by the analysis result of the voltage signal between electronics.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"396 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117297781","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974816
M. Abhishek, N. Shet
Water forecasting is crucial for planning, designing the infrastructure, and also for operating and managing water supply systems. Forecasting in the computation unit plays a very significant role in Cyber-Physical System. Real-time monitoring of water flow rates information helps us to conserve water when it is needed the most. Hence, we summarize in this paper the first impediment in forecasting which is; handling missing data in the real-time monitoring system using the different imputation techniques such as k-Nearest Neighbor, Expectation-Maximization, Matrix Completion. The performance of the respective method is evaluated using traditional methods like Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). Missingness simply refers to the manner in which a demographic sample lacks data. The two types of missingness considered here are: “missing at random” and “missing at burst”. Using the different imputation methods, the validation is performed by computing for a range of ‘missingness’ varying from 0% to 60%. In our experiment setup, we synthetically omitted missing values continuously and randomly in the datasets for the rationale of imputing omitted values in the datasets. In this work, we are choosing the best-fitted model for our application.
{"title":"Data Processing and deploying missing data algorithms to handle missing data in real time data of storage tank: A Cyber Physical Perspective","authors":"M. Abhishek, N. Shet","doi":"10.1109/ICECIE47765.2019.8974816","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974816","url":null,"abstract":"Water forecasting is crucial for planning, designing the infrastructure, and also for operating and managing water supply systems. Forecasting in the computation unit plays a very significant role in Cyber-Physical System. Real-time monitoring of water flow rates information helps us to conserve water when it is needed the most. Hence, we summarize in this paper the first impediment in forecasting which is; handling missing data in the real-time monitoring system using the different imputation techniques such as k-Nearest Neighbor, Expectation-Maximization, Matrix Completion. The performance of the respective method is evaluated using traditional methods like Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). Missingness simply refers to the manner in which a demographic sample lacks data. The two types of missingness considered here are: “missing at random” and “missing at burst”. Using the different imputation methods, the validation is performed by computing for a range of ‘missingness’ varying from 0% to 60%. In our experiment setup, we synthetically omitted missing values continuously and randomly in the datasets for the rationale of imputing omitted values in the datasets. In this work, we are choosing the best-fitted model for our application.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128883388","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974818
Zhan Meng, Hongbin Li
The capacitor voltage transformer (CVT) is one of the most important measurement equipment in the high-voltage (HV) power system, its metering accuracy is a key factor to ensure the safety of the power system and the fairness of the electricity trade. The conventional off-line calibration method to obtain the ratio error of CVTs is time-consuming and needs power cut, so it is no longer a suitable approach in the HV power system. In this paper, an on-line ratio error monitoring method for CVTs has been proposed, this method is based on local outlier identification. Considering the voltage fluctuations in the power system, the output voltages of CVTs are used to construct recognition models firstly, in which other fluctuation components have been eliminated except the ratio error, then the abnormal model could be detected and blamed to the abnormal ratio error. The simulation on the field data illustrates that the proposed method could identify the abnormal ratio error of CVTs of 0.2 accuracy class, and this method is suitable for the actual conditions in power system.
{"title":"Monitoring the Ratio Error of High-Voltage CVTs Based on Local Outlier Identification","authors":"Zhan Meng, Hongbin Li","doi":"10.1109/ICECIE47765.2019.8974818","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974818","url":null,"abstract":"The capacitor voltage transformer (CVT) is one of the most important measurement equipment in the high-voltage (HV) power system, its metering accuracy is a key factor to ensure the safety of the power system and the fairness of the electricity trade. The conventional off-line calibration method to obtain the ratio error of CVTs is time-consuming and needs power cut, so it is no longer a suitable approach in the HV power system. In this paper, an on-line ratio error monitoring method for CVTs has been proposed, this method is based on local outlier identification. Considering the voltage fluctuations in the power system, the output voltages of CVTs are used to construct recognition models firstly, in which other fluctuation components have been eliminated except the ratio error, then the abnormal model could be detected and blamed to the abnormal ratio error. The simulation on the field data illustrates that the proposed method could identify the abnormal ratio error of CVTs of 0.2 accuracy class, and this method is suitable for the actual conditions in power system.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127574180","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974792
Mahima Arora, Nikita S. Raut, Y. V. Hote
In this paper, a modified approach based on Gerschgorin theorem is proposed for the designing of the PI/PID controller for Multi-Input and Multi-Output system. The modified approach of Gerschgorin theorem is based on intersection of row-wise and column-wise Gerschgorin circles. The proposed controller is improved in comparison to the existing approach of conventional Gerschgorin theorem, which was proposed by D. Chen and D. E. Seborg. The proposed approach is applied to different types of MIMO systems for designing of PI controllers. The simulation results are obtained and they are compared with the existing approaches.
{"title":"Tuning of PI/PID controllers for MIMO System using Modified Gerschgorin theorem","authors":"Mahima Arora, Nikita S. Raut, Y. V. Hote","doi":"10.1109/ICECIE47765.2019.8974792","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974792","url":null,"abstract":"In this paper, a modified approach based on Gerschgorin theorem is proposed for the designing of the PI/PID controller for Multi-Input and Multi-Output system. The modified approach of Gerschgorin theorem is based on intersection of row-wise and column-wise Gerschgorin circles. The proposed controller is improved in comparison to the existing approach of conventional Gerschgorin theorem, which was proposed by D. Chen and D. E. Seborg. The proposed approach is applied to different types of MIMO systems for designing of PI controllers. The simulation results are obtained and they are compared with the existing approaches.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130373551","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 : 2019-11-01DOI: 10.1109/icecie47765.2019.8974691
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icecie47765.2019.8974691","DOIUrl":"https://doi.org/10.1109/icecie47765.2019.8974691","url":null,"abstract":"","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115693371","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974744
C. Rheinländer, Felix Berkel, Maycon Douglas, Matthias Schäfer, N. Wehn, Steven Liu
The control of infrastructure systems, such as the electric power supply, water distribution or traffic networks, is challenging for many reasons. The systems are large-scale, highly complex, subject to constraints and require a safe and cost-efficient operation. An appropriate control method is Model Predictive Control (MPC). Because of its inherent continuous optimization, MPC is known to be a compute- and, especially for large systems, memory-intensive process. Hence, MPC was unfeasible for energy-constrained embedded implementations for a long time. Recently, this issue has been overcome by utilizing highly energy-efficient hardware platforms like Field Programmable Gate Arrays (FPGAs). However, the amount of available memory on an FPGA restricts the achievable system size of MPC implementations. Therefore, the realization of large MPC systems like those requiring long prediction horizons is difficult on FPGAs. This paper proposes structural data compression (SDC), a technique that drastically lowers the memory demand of embedded MPC on FPGAs. We show how SDC can reduce the memory requirements by a factor higher than 80x compared to common code-generated MPC designs, thereby enabling MPC systems that require long prediction horizons to be implemented on an embedded device.
{"title":"Structural Data Compression for Embedded Long Prediction Horizon Model Predictive Control on Resource-Constrained FPGA Platforms","authors":"C. Rheinländer, Felix Berkel, Maycon Douglas, Matthias Schäfer, N. Wehn, Steven Liu","doi":"10.1109/ICECIE47765.2019.8974744","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974744","url":null,"abstract":"The control of infrastructure systems, such as the electric power supply, water distribution or traffic networks, is challenging for many reasons. The systems are large-scale, highly complex, subject to constraints and require a safe and cost-efficient operation. An appropriate control method is Model Predictive Control (MPC). Because of its inherent continuous optimization, MPC is known to be a compute- and, especially for large systems, memory-intensive process. Hence, MPC was unfeasible for energy-constrained embedded implementations for a long time. Recently, this issue has been overcome by utilizing highly energy-efficient hardware platforms like Field Programmable Gate Arrays (FPGAs). However, the amount of available memory on an FPGA restricts the achievable system size of MPC implementations. Therefore, the realization of large MPC systems like those requiring long prediction horizons is difficult on FPGAs. This paper proposes structural data compression (SDC), a technique that drastically lowers the memory demand of embedded MPC on FPGAs. We show how SDC can reduce the memory requirements by a factor higher than 80x compared to common code-generated MPC designs, thereby enabling MPC systems that require long prediction horizons to be implemented on an embedded device.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116186592","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974839
Alireza Zamani, Marvin Klimke, Guido Dartmann, A. Schmeink
This paper considers the cocktail party problem for determined setup with convolutive mixtures. The proposed framework combines independent vector analysis with beamforming in order to improve the performance. Our approach has the advantage of not requiring a permutation alignment algorithm or accurate knowledge of all source locations. The performance of the proposed framework is evaluated and compared to conventional techniques in terms of accuracy of recovery, SIR gain and performance under different reverberation times. Simulation results demonstrate the clear superiority of the method especially in reducing the destructive correlation as well as offering a more stable performance with varying reverberation times. Furthermore, results show beamforming can also help reduce the convergence time of the separation algorithm.
{"title":"Convolutive Blind Source Separation with Independent Vector Analysis and Beamforming","authors":"Alireza Zamani, Marvin Klimke, Guido Dartmann, A. Schmeink","doi":"10.1109/ICECIE47765.2019.8974839","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974839","url":null,"abstract":"This paper considers the cocktail party problem for determined setup with convolutive mixtures. The proposed framework combines independent vector analysis with beamforming in order to improve the performance. Our approach has the advantage of not requiring a permutation alignment algorithm or accurate knowledge of all source locations. The performance of the proposed framework is evaluated and compared to conventional techniques in terms of accuracy of recovery, SIR gain and performance under different reverberation times. Simulation results demonstrate the clear superiority of the method especially in reducing the destructive correlation as well as offering a more stable performance with varying reverberation times. Furthermore, results show beamforming can also help reduce the convergence time of the separation algorithm.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123201835","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974833
Rufo I. Marasigan, E. Festijo, D. E. Juanico, Ruji P. Medina
Mangrove forest is one of the most essential types of forest in the Philippines. Although they cover the country for about 256185 hectares, they play a vital role in the ecosystem. However, mangroves have faced widespread of destruction throughout the past century. With more than 90% of the worlds, mangroves are located in developing countries like the Philippines and with rapid development and urbanization, these forests are threatened to be destroyed at an alarming rate. With this, there is a critical need to continuously monitor and assess them for dynamic conservation, restoration and management purposes. Moreover, forest inventory, management, and monitoring are very challenging, laborious and expensive to conduct, that is why the emergent of remote sensing application in forest inventory has increasingly become popular. Among the methods in remote sensing, airborne LiDAR has proven effective and reliable. Marker-Controlled Watershed Algorithm, on the other hand, was known as the most common type of technique utilized to conduct the processing of lidar data in terms of crown delineation, tree segmentation, and extraction. Although the marker-controlled watershed algorithm performs well in the forest with open canopy cover like coniferous, they tend to become less reliable in mangrove forest with complex structure and mixed-vegetations. In this study, an enhanced marker-controlled watershed algorithm (MCWS-HTSR) was proposed. The algorithm will use the marker-controlled watershed algorithm to initially extract the individual tree then apply modified Hamraz's tree segmentation routine to further refine the crown delineation process of the mangrove trees giving a more accurate crown measurement. The algorithm will be validated using the LiDAR data obtained from the mangrove forest in Virac, Catanduanes and the data obtained from the actual field survey.
{"title":"Improved Mangrove Crown Measurement from Airborne Lidar Data using Marker-controlled Watershed Algorithm-filtered Hamraz Technique","authors":"Rufo I. Marasigan, E. Festijo, D. E. Juanico, Ruji P. Medina","doi":"10.1109/ICECIE47765.2019.8974833","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974833","url":null,"abstract":"Mangrove forest is one of the most essential types of forest in the Philippines. Although they cover the country for about 256185 hectares, they play a vital role in the ecosystem. However, mangroves have faced widespread of destruction throughout the past century. With more than 90% of the worlds, mangroves are located in developing countries like the Philippines and with rapid development and urbanization, these forests are threatened to be destroyed at an alarming rate. With this, there is a critical need to continuously monitor and assess them for dynamic conservation, restoration and management purposes. Moreover, forest inventory, management, and monitoring are very challenging, laborious and expensive to conduct, that is why the emergent of remote sensing application in forest inventory has increasingly become popular. Among the methods in remote sensing, airborne LiDAR has proven effective and reliable. Marker-Controlled Watershed Algorithm, on the other hand, was known as the most common type of technique utilized to conduct the processing of lidar data in terms of crown delineation, tree segmentation, and extraction. Although the marker-controlled watershed algorithm performs well in the forest with open canopy cover like coniferous, they tend to become less reliable in mangrove forest with complex structure and mixed-vegetations. In this study, an enhanced marker-controlled watershed algorithm (MCWS-HTSR) was proposed. The algorithm will use the marker-controlled watershed algorithm to initially extract the individual tree then apply modified Hamraz's tree segmentation routine to further refine the crown delineation process of the mangrove trees giving a more accurate crown measurement. The algorithm will be validated using the LiDAR data obtained from the mangrove forest in Virac, Catanduanes and the data obtained from the actual field survey.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122722322","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974747
Kuruparan Shanmugalingam, Dulanjana Liyanagama, Rubisha Rubanathan, S. Thayaparan
Most of the electronic devices do not perform well in high temperature. In wafer fabrication, data propagation through thick metallic chamber walls need more transmitting power for successful data transmission. Measuring and transmitting temperature in closed metallic high temperature environment is a challenging issue. In this paper, a scheme to sense, process and transmit the data through fully closed and thick Aluminum chamber is proposed. The system is capable of sensing high temperature while handling for power fluctuations. Temperature is measured using tiny RTD resistors placed in different 7 locations up to 350 degree Celsius. The data is transmitted as radio-waves using ASK and FSK modulation techniques at the rate of 1 kbps. Processed demodulated data at the receiver-end provides the power supply voltage level, RTD locations ID, and the temperature in different locations of the IC inside the chamber real-time. Re-transmission technique is proposed to reduce the propagation loss. It ensures possibility of the transmitter to work in low power environment. Experimental results show the effectiveness of the proposed system to over come the limitations of measuring and transmitting real-time data.
{"title":"Temperature Sensing and Data Transmission Mechanism for High Temperature Applications","authors":"Kuruparan Shanmugalingam, Dulanjana Liyanagama, Rubisha Rubanathan, S. Thayaparan","doi":"10.1109/ICECIE47765.2019.8974747","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974747","url":null,"abstract":"Most of the electronic devices do not perform well in high temperature. In wafer fabrication, data propagation through thick metallic chamber walls need more transmitting power for successful data transmission. Measuring and transmitting temperature in closed metallic high temperature environment is a challenging issue. In this paper, a scheme to sense, process and transmit the data through fully closed and thick Aluminum chamber is proposed. The system is capable of sensing high temperature while handling for power fluctuations. Temperature is measured using tiny RTD resistors placed in different 7 locations up to 350 degree Celsius. The data is transmitted as radio-waves using ASK and FSK modulation techniques at the rate of 1 kbps. Processed demodulated data at the receiver-end provides the power supply voltage level, RTD locations ID, and the temperature in different locations of the IC inside the chamber real-time. Re-transmission technique is proposed to reduce the propagation loss. It ensures possibility of the transmitter to work in low power environment. Experimental results show the effectiveness of the proposed system to over come the limitations of measuring and transmitting real-time data.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125213295","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 : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974779
Reo Sumita, Terukazu Sato
This paper proposes PID control method using the predicted output voltage. The objective of this study is to improve the stability of the switching converter. The output voltage of next switching cycle is predicted using previous values. A linear function to sixth-degree function are used as prediction method. Transfer function of the proposed method is derived analytically, and the experiment is conducted for the prototype buck converter. As a result, a quadratic function or a cubic equation is practical. The frequency characteristics of the transfer function of the buck converter using the proposed method has higher phase margin and crossover frequency than conventional, and the usefulness of the predicted control was verified.
{"title":"PID control method using predicted output voltage for digitally controlled DC/DC converter","authors":"Reo Sumita, Terukazu Sato","doi":"10.1109/ICECIE47765.2019.8974779","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974779","url":null,"abstract":"This paper proposes PID control method using the predicted output voltage. The objective of this study is to improve the stability of the switching converter. The output voltage of next switching cycle is predicted using previous values. A linear function to sixth-degree function are used as prediction method. Transfer function of the proposed method is derived analytically, and the experiment is conducted for the prototype buck converter. As a result, a quadratic function or a cubic equation is practical. The frequency characteristics of the transfer function of the buck converter using the proposed method has higher phase margin and crossover frequency than conventional, and the usefulness of the predicted control was verified.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129080967","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}
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