Pub Date : 2011-06-21DOI: 10.1109/ICIEA.2011.5975712
Lezhu Chen, Yi-jun Ge, Ye-ce Qian, Peng Yi, L. Nie
This paper proposals a novel hybrid static var compensator, which can adjust capacitor continuously. The proposed compensator combines the PWM type AC_Buck converter with the transformer to adjust the voltage on the compensating capacitor directly. So the continuous output of reactive power is realized. The compensator has fast dynamic response, and produces no harmonic. The capacity of the transformer is only 25% of that of the compensating capacitor. Operation Principle of the compensator is elaborated in this paper, and the equations for the power of compensator and inverter are deduced. Experiment results verify the feasibility and effectiveness of the compensator.
{"title":"Research of a novel PWM static VAR compensator based on AC_Buck voltage converter","authors":"Lezhu Chen, Yi-jun Ge, Ye-ce Qian, Peng Yi, L. Nie","doi":"10.1109/ICIEA.2011.5975712","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975712","url":null,"abstract":"This paper proposals a novel hybrid static var compensator, which can adjust capacitor continuously. The proposed compensator combines the PWM type AC_Buck converter with the transformer to adjust the voltage on the compensating capacitor directly. So the continuous output of reactive power is realized. The compensator has fast dynamic response, and produces no harmonic. The capacity of the transformer is only 25% of that of the compensating capacitor. Operation Principle of the compensator is elaborated in this paper, and the equations for the power of compensator and inverter are deduced. Experiment results verify the feasibility and effectiveness of the compensator.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115710045","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975678
Tao Feng, Tao Liu, Xu Wang, Zhao Xu, Meng Zhang, Sheng-chao Han
This paper presents the modeling and implementation of a two-wheel self-balancing robot which is built as a test platform as well as an exhibit for Macau Science Center. In this design, three feedback sensors are used: an accelerometer to measure the tilt angle of the robot with respect to gravity, a gyroscope to measure the angular rate and two shaft encoders to measure the position and velocity of the base of the robot. Kalman filter is used for the fusion of sensor data and linear state space controller is used for self-balancing. It can move back and forth, turn left and right under the control of the operator from distance through a set of remote control module. In addition, the robot features two supporting arms equipped on it, and can rest itself on them for power-saving during the break of exhibition, or be supported by them when impacted by an irresistible force from external and unable to stay upright any more. It can switch between self-balancing and resting status swiftly and stably on its own or under the control of the operator.
{"title":"Modeling and implementation of two-wheel self-balancing robot equipped with supporting arms","authors":"Tao Feng, Tao Liu, Xu Wang, Zhao Xu, Meng Zhang, Sheng-chao Han","doi":"10.1109/ICIEA.2011.5975678","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975678","url":null,"abstract":"This paper presents the modeling and implementation of a two-wheel self-balancing robot which is built as a test platform as well as an exhibit for Macau Science Center. In this design, three feedback sensors are used: an accelerometer to measure the tilt angle of the robot with respect to gravity, a gyroscope to measure the angular rate and two shaft encoders to measure the position and velocity of the base of the robot. Kalman filter is used for the fusion of sensor data and linear state space controller is used for self-balancing. It can move back and forth, turn left and right under the control of the operator from distance through a set of remote control module. In addition, the robot features two supporting arms equipped on it, and can rest itself on them for power-saving during the break of exhibition, or be supported by them when impacted by an irresistible force from external and unable to stay upright any more. It can switch between self-balancing and resting status swiftly and stably on its own or under the control of the operator.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124273154","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975817
Junyou Shi, Jin-zhong Li, Meng Shi
The principle of built-in test false alarm simulation (BFAS) is analyzed, with the definition of BFAS in this paper. Related false alarm inducing factors simulated by electronic design automation (EDA) techniques are determined, including load variations, power supply disturbances and electromagnetic interferences. The concept of false alarm simulation profile is proposed. The types and simulation modes of false alarm inducing events are analyzed. The automated insertion algorithm of false alarm inducing events and the flow of BFAS are established, and verified using a typical circuit. It is shown that this method is feasible and effective, and can be used to analyze false alarms in the development stage.
{"title":"Method of automated BIT false alarms simulation based on EDA","authors":"Junyou Shi, Jin-zhong Li, Meng Shi","doi":"10.1109/ICIEA.2011.5975817","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975817","url":null,"abstract":"The principle of built-in test false alarm simulation (BFAS) is analyzed, with the definition of BFAS in this paper. Related false alarm inducing factors simulated by electronic design automation (EDA) techniques are determined, including load variations, power supply disturbances and electromagnetic interferences. The concept of false alarm simulation profile is proposed. The types and simulation modes of false alarm inducing events are analyzed. The automated insertion algorithm of false alarm inducing events and the flow of BFAS are established, and verified using a typical circuit. It is shown that this method is feasible and effective, and can be used to analyze false alarms in the development stage.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124577624","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5976028
A. Namadmalan, S. Fathi, J. Moghani, S. Sadeghi
With the increasing application of Induction Heating (IH) systems in various industries such as metallurgy, concerns about the harmonic effects and power quality of the power grid have been involved in the problems facing network operation engineers. This paper presents two methods to improve the power quality of three phase current source induction system. The two methods are active and passive solutions. One of the most important problem for current source IH systems is the start-up problem, which causes flicker at the PCC. For three-phase current source IH system an active solution with shunt active power filter and a passive solution with single tuned passive filters is used to improve harmonic distortions and sag voltages. In this paper the current source induction heating system is modeled and the transient and steady state behaviors of the system are simulated.
{"title":"Power quality improvement for three phase current source induction heating systems","authors":"A. Namadmalan, S. Fathi, J. Moghani, S. Sadeghi","doi":"10.1109/ICIEA.2011.5976028","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5976028","url":null,"abstract":"With the increasing application of Induction Heating (IH) systems in various industries such as metallurgy, concerns about the harmonic effects and power quality of the power grid have been involved in the problems facing network operation engineers. This paper presents two methods to improve the power quality of three phase current source induction system. The two methods are active and passive solutions. One of the most important problem for current source IH systems is the start-up problem, which causes flicker at the PCC. For three-phase current source IH system an active solution with shunt active power filter and a passive solution with single tuned passive filters is used to improve harmonic distortions and sag voltages. In this paper the current source induction heating system is modeled and the transient and steady state behaviors of the system are simulated.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114307633","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975577
Y. Murphey, Gerti Tuzi, R. Milton
This paper presents a new method for defining standard roadway types used in a machine learning approach for intelligent vehicle power management. The machine learning approach uses a roadway specific energy optimization method to train an intelligent power controller(IPC) for a conventional (non-hybrid) vehicle. Experiments are conducted under the simulation program PSAT to evaluate the effectiveness of the proposed standard drive cycles. The intelligent power controller is implemented in a Ford Taurus model provided by PSAT. The experiments on 11 test drive cycles show that the IPC used the proposed standard drive cycles performed better than the IPC used the 11 Sierra standard drive cycles.
{"title":"Intelligent vehicle power control based on effective roadway types and traffic congestion levels","authors":"Y. Murphey, Gerti Tuzi, R. Milton","doi":"10.1109/ICIEA.2011.5975577","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975577","url":null,"abstract":"This paper presents a new method for defining standard roadway types used in a machine learning approach for intelligent vehicle power management. The machine learning approach uses a roadway specific energy optimization method to train an intelligent power controller(IPC) for a conventional (non-hybrid) vehicle. Experiments are conducted under the simulation program PSAT to evaluate the effectiveness of the proposed standard drive cycles. The intelligent power controller is implemented in a Ford Taurus model provided by PSAT. The experiments on 11 test drive cycles show that the IPC used the proposed standard drive cycles performed better than the IPC used the 11 Sierra standard drive cycles.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114463233","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975669
Xu Dong, Wang Tianmiao, Wei Hong-xing
The load torque disturbance influences the performance of permanent magnet synchronous motor speed control. Therefore, to compensate this problem, this paper designed a model reference torque observer based on Popov-super-stability theory. This observer uses off-line calculation to obtain the model parameters and PI calculation of the speed model error to get the load torque. This structure is simple and easy to implement for speed control compensation. The compare of this observer and a reduced order torque observer is studied by simulation. The results show that the model reference observer designed this paper has better performance in convergence, noise immunity and observation accuracy, and is more suitable for speed control compensation.
{"title":"Comparison between model reference observer and reduced order observer of PMSM torque","authors":"Xu Dong, Wang Tianmiao, Wei Hong-xing","doi":"10.1109/ICIEA.2011.5975669","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975669","url":null,"abstract":"The load torque disturbance influences the performance of permanent magnet synchronous motor speed control. Therefore, to compensate this problem, this paper designed a model reference torque observer based on Popov-super-stability theory. This observer uses off-line calculation to obtain the model parameters and PI calculation of the speed model error to get the load torque. This structure is simple and easy to implement for speed control compensation. The compare of this observer and a reduced order torque observer is studied by simulation. The results show that the model reference observer designed this paper has better performance in convergence, noise immunity and observation accuracy, and is more suitable for speed control compensation.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114480483","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975825
He Ketai, Liu Xiaoli, Li Li
Chinese Research Universities have done many efforts for underground students to enhance innovation capabilities. But the effect is not so ideal for many reasons. The authors discuss the three questions, innovation team building, innovation capability cultivating and research methods directing, based on the experience on it in the past years.
{"title":"Cultivating innovation capabilities of undergraduate students in extracurricular activities","authors":"He Ketai, Liu Xiaoli, Li Li","doi":"10.1109/ICIEA.2011.5975825","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975825","url":null,"abstract":"Chinese Research Universities have done many efforts for underground students to enhance innovation capabilities. But the effect is not so ideal for many reasons. The authors discuss the three questions, innovation team building, innovation capability cultivating and research methods directing, based on the experience on it in the past years.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114389461","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975965
Xiankang Liu, Baofa Wang, Xiaojian Xu, Jing Liang, J. Ren, C. Wei
Multi-stage classification algorithm is proposed for the special character of ship target high resolution range profile (HRRP). Range alignment, elimination of abnormal HRRP and noncoherent average are all used to process the ship HRRP before feature extraction. Multi-stage classification algorithm is designed for different feature to contribute their predominance in different stage. Classification rules are also different to ensure the high accurate classification rate in the first 3 stages, and the BP neural networks is used to process the generalized central moments features to determine the exclusive target class in the last stage. The results of experiment with the actual measured data of 10 ships indicates that the proposed algorithm is very useful in ship target classification.
{"title":"Multi-stage classification algorithm of ship target based on hrrp multi-features","authors":"Xiankang Liu, Baofa Wang, Xiaojian Xu, Jing Liang, J. Ren, C. Wei","doi":"10.1109/ICIEA.2011.5975965","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975965","url":null,"abstract":"Multi-stage classification algorithm is proposed for the special character of ship target high resolution range profile (HRRP). Range alignment, elimination of abnormal HRRP and noncoherent average are all used to process the ship HRRP before feature extraction. Multi-stage classification algorithm is designed for different feature to contribute their predominance in different stage. Classification rules are also different to ensure the high accurate classification rate in the first 3 stages, and the BP neural networks is used to process the generalized central moments features to determine the exclusive target class in the last stage. The results of experiment with the actual measured data of 10 ships indicates that the proposed algorithm is very useful in ship target classification.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116436338","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975737
G. Michael, T. Connie, A. Teoh
This paper presents an acclimatization and habituation test to evaluate the usability of a contactless hand biometric system from the user's perspective. As contactless hand-based biometrics is a relatively new technology, it is important to investigate the difficulty level, and the period it takes for the user to get accustomed to the appropriate mode of interacting with the sensor. Understanding how the users get habituated with the device is the key to the success of the biometric system in real-world application. In this research, palm vein biometrics is adopted as the domain of investigation. This modality is selected due to its promising accuracy rate. We propose a novel image quality assessment scheme to evaluate the quality of the input images. Sometimes, the vein images may not appear clear due to the medical condition of the skin (like thick fatty tissue obstructing the subcutaneous blood vessels), thus, it is not appropriate to accept the poor quality images into our system. This quality checking component is placed in both the enrollment and verification phases to scrutinize the image before taking it for further process. The performance of our system can be largely improved by eliminating many poor quality images.
{"title":"A preliminary acclimatization study of a contactless biometrics using palm vein feature","authors":"G. Michael, T. Connie, A. Teoh","doi":"10.1109/ICIEA.2011.5975737","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975737","url":null,"abstract":"This paper presents an acclimatization and habituation test to evaluate the usability of a contactless hand biometric system from the user's perspective. As contactless hand-based biometrics is a relatively new technology, it is important to investigate the difficulty level, and the period it takes for the user to get accustomed to the appropriate mode of interacting with the sensor. Understanding how the users get habituated with the device is the key to the success of the biometric system in real-world application. In this research, palm vein biometrics is adopted as the domain of investigation. This modality is selected due to its promising accuracy rate. We propose a novel image quality assessment scheme to evaluate the quality of the input images. Sometimes, the vein images may not appear clear due to the medical condition of the skin (like thick fatty tissue obstructing the subcutaneous blood vessels), thus, it is not appropriate to accept the poor quality images into our system. This quality checking component is placed in both the enrollment and verification phases to scrutinize the image before taking it for further process. The performance of our system can be largely improved by eliminating many poor quality images.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672747","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 : 2011-06-21DOI: 10.1109/ICIEA.2011.5975927
Y. Qing, D. Davies
The implementation of intelligent well technology into the petroleum production industry provides, for the first time, the opportunity to apply advanced control algorithms at the well or reservoir zone level. An “Intelligent” or “Smart” well is a well equipped with multiple, downhole chokes or Inflow Control Valves (ICVs) as well as downhole, real-time, data measurements of, for example, pressure, temperature and flow rate at a specific point within the well. This paper applies Generalized Predictive Control (GPC) to the ICVs for automatic regulation of the production rate or the pressure at a specified value within the flow system. A multi-zone, horizontal, intelligent well case study shows that the GPC works efficiently. The robustness of the technique was illustrated when noise and/or outliers were introduced into the output data.
{"title":"Generalized Predictive Control applied to intelligent production of an oil well","authors":"Y. Qing, D. Davies","doi":"10.1109/ICIEA.2011.5975927","DOIUrl":"https://doi.org/10.1109/ICIEA.2011.5975927","url":null,"abstract":"The implementation of intelligent well technology into the petroleum production industry provides, for the first time, the opportunity to apply advanced control algorithms at the well or reservoir zone level. An “Intelligent” or “Smart” well is a well equipped with multiple, downhole chokes or Inflow Control Valves (ICVs) as well as downhole, real-time, data measurements of, for example, pressure, temperature and flow rate at a specific point within the well. This paper applies Generalized Predictive Control (GPC) to the ICVs for automatic regulation of the production rate or the pressure at a specified value within the flow system. A multi-zone, horizontal, intelligent well case study shows that the GPC works efficiently. The robustness of the technique was illustrated when noise and/or outliers were introduced into the output data.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116855674","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：