Pub Date : 2007-05-23DOI: 10.1109/ICIEA.2007.4318753
Guangqing Wang
This work intends to Introduce a new type of motor - traveling-wave type ultrasonic motor (TWUSM). The structure and the operation principle of the TWUSM were introduced in this paper at first. Then the force transfer model of the contact surface between the stator and the rotor was deduced based on the elastic contact theory and the Hooke's law. The relationships between the preload, the contact angle and the physical parameters of the frictional material were given. According to the direct piezoelectric effect, the input current of the TWUSM was determined, and the output efficiency of the TWUSM was derived with the ratio of the output power of the contact surface and the input electric power of the TWUSM. Finally, all factors that affect the mechanical characteristics were analyzed, and the accuracy and the suitability of the analytical model were verified by comparison with the experimental results.
{"title":"Force Transfer Model and Characteristics of Traveling-Wave Type Ultrasonic Motors","authors":"Guangqing Wang","doi":"10.1109/ICIEA.2007.4318753","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318753","url":null,"abstract":"This work intends to Introduce a new type of motor - traveling-wave type ultrasonic motor (TWUSM). The structure and the operation principle of the TWUSM were introduced in this paper at first. Then the force transfer model of the contact surface between the stator and the rotor was deduced based on the elastic contact theory and the Hooke's law. The relationships between the preload, the contact angle and the physical parameters of the frictional material were given. According to the direct piezoelectric effect, the input current of the TWUSM was determined, and the output efficiency of the TWUSM was derived with the ratio of the output power of the contact surface and the input electric power of the TWUSM. Finally, all factors that affect the mechanical characteristics were analyzed, and the accuracy and the suitability of the analytical model were verified by comparison with the experimental results.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114337591","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318861
Guo Li, Jianhua Wu, Pian Zhao-yu, Wang Kun
The precise segmentation of magnetic resonance images (MRI) is an important subject in both medical and computer science communities. The intrinsic complexity of the images and their relative lack of systematics have brought to develop different approaches to segment the different parts of human head. This paper investigates a novel feature extraction approach to MRI segmentation based on feed-back pulse coupled neural network in conjunction with toboggan theory. Due to the dynamics of the FPCNN, multiple unconnected groups of neurons will often pulse at the same time, calling for further processing to identify distinct regions. We locate the object's label by FPCNN. Finally, toboggan automatically partitions the MRI image. The experimental results show that the proposed algorithm performs well compared to the traditional algorithms.
{"title":"Improved Toboggan Segmentation Algorithm for Magnetic Resonance Images","authors":"Guo Li, Jianhua Wu, Pian Zhao-yu, Wang Kun","doi":"10.1109/ICIEA.2007.4318861","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318861","url":null,"abstract":"The precise segmentation of magnetic resonance images (MRI) is an important subject in both medical and computer science communities. The intrinsic complexity of the images and their relative lack of systematics have brought to develop different approaches to segment the different parts of human head. This paper investigates a novel feature extraction approach to MRI segmentation based on feed-back pulse coupled neural network in conjunction with toboggan theory. Due to the dynamics of the FPCNN, multiple unconnected groups of neurons will often pulse at the same time, calling for further processing to identify distinct regions. We locate the object's label by FPCNN. Finally, toboggan automatically partitions the MRI image. The experimental results show that the proposed algorithm performs well compared to the traditional algorithms.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"964 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116203245","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318795
J. Hsu, A. Hu, P. Si, A. Swain
A variable inductor based power flow control method is proposed to regulate the output voltage of a wireless power pick-up. The open circuit voltage variation of the power pick-up is compensated by controlling a magnetic amplifier type inductor in an LCL tuning configuration. The proposed control algorithm directly detects the output voltage of the power pick-up and feedbacks the voltage signal to update the tuning direction truth table discretely. According to the output voltage, the controller determines the direction of the equivalent inductance change of the magnetic amplifier. Both simulation and practical results demonstrated that the proposed control algorithm can effectively maintain the output voltage at a desired value after a short period of transient response. It has been found that the step-size of the variable inductor and sampling time are two key factors governing the control quality. These two parameters were selected based on the tolerance of the output voltage variation and the desired control speed.
{"title":"Power Flow Control of a 3-D Wireless Power Pick-up","authors":"J. Hsu, A. Hu, P. Si, A. Swain","doi":"10.1109/ICIEA.2007.4318795","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318795","url":null,"abstract":"A variable inductor based power flow control method is proposed to regulate the output voltage of a wireless power pick-up. The open circuit voltage variation of the power pick-up is compensated by controlling a magnetic amplifier type inductor in an LCL tuning configuration. The proposed control algorithm directly detects the output voltage of the power pick-up and feedbacks the voltage signal to update the tuning direction truth table discretely. According to the output voltage, the controller determines the direction of the equivalent inductance change of the magnetic amplifier. Both simulation and practical results demonstrated that the proposed control algorithm can effectively maintain the output voltage at a desired value after a short period of transient response. It has been found that the step-size of the variable inductor and sampling time are two key factors governing the control quality. These two parameters were selected based on the tolerance of the output voltage variation and the desired control speed.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646116","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318830
Yinhan Gao, Xi-lai Ma, Kaiyu Yang, Ruibao Wang
The technique for recognizing and identifying disturbed signals based on wavelet packet decomposition (WPD) and multilayer perceptron neural network (MLPNN) was proposed. It was greatly reduced the volume of computation after Parseval's theorem energy rule and feature extraction of the disturbed signals emerged by the equipment called EM-Test which could bring confirmed automotive interferential signals on automobile. A neural network was also developed for fast interferences identification.
{"title":"The Research on Identification for Electromagnetic Interference in Automobile Based on WPD and MLPNN","authors":"Yinhan Gao, Xi-lai Ma, Kaiyu Yang, Ruibao Wang","doi":"10.1109/ICIEA.2007.4318830","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318830","url":null,"abstract":"The technique for recognizing and identifying disturbed signals based on wavelet packet decomposition (WPD) and multilayer perceptron neural network (MLPNN) was proposed. It was greatly reduced the volume of computation after Parseval's theorem energy rule and feature extraction of the disturbed signals emerged by the equipment called EM-Test which could bring confirmed automotive interferential signals on automobile. A neural network was also developed for fast interferences identification.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124370642","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318416
Yi Fan, Hongbing Lu, Chongyang Hao, Zhengrong Liang
In a method we proposed before, Karhune-Loeve (KL) transform was used to de-correlate the inter-frame correlation before they are reconstructed. The drawback of this method is that the covariance matrix is estimated based on the assumption that all pixels along the time direction obey the similar time function, while it is not always comply with the situation. In this paper, we propose a potential refinement method for spatio-temporal reconstruction for gated cardiac SPECT. The gated cardiac SPECT frames are grouped into several groups according to their intra-frame similarity. Then the different KL transform strategies are applied to these groups. Experimental computer simulation results show that the approach may obtain better performance than the previous one.
{"title":"An Improved Analytical Reconstruction for Gated Cardiac SPECT Based on Intra-Frame Similarity","authors":"Yi Fan, Hongbing Lu, Chongyang Hao, Zhengrong Liang","doi":"10.1109/ICIEA.2007.4318416","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318416","url":null,"abstract":"In a method we proposed before, Karhune-Loeve (KL) transform was used to de-correlate the inter-frame correlation before they are reconstructed. The drawback of this method is that the covariance matrix is estimated based on the assumption that all pixels along the time direction obey the similar time function, while it is not always comply with the situation. In this paper, we propose a potential refinement method for spatio-temporal reconstruction for gated cardiac SPECT. The gated cardiac SPECT frames are grouped into several groups according to their intra-frame similarity. Then the different KL transform strategies are applied to these groups. Experimental computer simulation results show that the approach may obtain better performance than the previous one.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124138893","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318595
Zhefeng Li, Li-jun Diao, Wenli Lin, Gang Zhang
Direct field orientation of induction machines based on voltage model has an unsatisfying performance at low speed range. On the contrary, direct field orientation based on current model doesn't work well at high speed range. A based on voltage-current hybrid model rotor flux observer can figure out the above problems. The flux observer can run in the current model at low speed and switch to voltage model at high speed and smooth between them. Depend on flux observer, a simple open-loop speed estimator used in the vector control scheme. The speed estimator can filter out amplifying noise generated by the pure differentiator and satisfy dynamic and steady state need. The simulation and experimental results shows that the sensorless vector control based on hybrid model can satisfy steady performance at wide speed range.
{"title":"A Sensorless Vector Control of Induction Machines Based on Hybrid Model","authors":"Zhefeng Li, Li-jun Diao, Wenli Lin, Gang Zhang","doi":"10.1109/ICIEA.2007.4318595","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318595","url":null,"abstract":"Direct field orientation of induction machines based on voltage model has an unsatisfying performance at low speed range. On the contrary, direct field orientation based on current model doesn't work well at high speed range. A based on voltage-current hybrid model rotor flux observer can figure out the above problems. The flux observer can run in the current model at low speed and switch to voltage model at high speed and smooth between them. Depend on flux observer, a simple open-loop speed estimator used in the vector control scheme. The speed estimator can filter out amplifying noise generated by the pure differentiator and satisfy dynamic and steady state need. The simulation and experimental results shows that the sensorless vector control based on hybrid model can satisfy steady performance at wide speed range.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127640806","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318884
Li-li Zhao, Jinchun Song, Hong-yi Liu
Working principle of continuously variable transmission (CVT) applying in wind power system is analyzed. Mathematic model of CVT in wind power is established. Compared with fixed pitch wind power, the relation between wind energy utilization coefficient, power and wind speed are studied. Dynamic simulations of CVT wind power system are researched in random wind speeds. The CVT transmission ratio, wind turbine rotational speed, wind energy utilization coefficient, generator's rotational speed, wind turbine power and generator power are simulated when wind speed signals are random changed. Simulation results show that wind power applying CVT makes wind turbine operate at an optimal blade tip ratio, obtain an optimal wind energy utilizing coefficient, take full advantage of wind energy and be superior to fixed pitch wind power. Generator outputs constant frequency voltage and smoothly variable powers without applying other electric power and electronic equipments.
{"title":"Simulation Study of Wind Power with Continuously Variable Transmission","authors":"Li-li Zhao, Jinchun Song, Hong-yi Liu","doi":"10.1109/ICIEA.2007.4318884","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318884","url":null,"abstract":"Working principle of continuously variable transmission (CVT) applying in wind power system is analyzed. Mathematic model of CVT in wind power is established. Compared with fixed pitch wind power, the relation between wind energy utilization coefficient, power and wind speed are studied. Dynamic simulations of CVT wind power system are researched in random wind speeds. The CVT transmission ratio, wind turbine rotational speed, wind energy utilization coefficient, generator's rotational speed, wind turbine power and generator power are simulated when wind speed signals are random changed. Simulation results show that wind power applying CVT makes wind turbine operate at an optimal blade tip ratio, obtain an optimal wind energy utilizing coefficient, take full advantage of wind energy and be superior to fixed pitch wind power. Generator outputs constant frequency voltage and smoothly variable powers without applying other electric power and electronic equipments.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125642350","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318709
Zhenhuan Zhang, Huijin Liu, Xiaoli Liu
The performance and application of active power filter (APF) in power system is closely linked to the control strategy. The paper proposes a novel nonlinear passivity-based algorithm for APF based on Euler-Lagrange (EL) dynamic averaged model of APF. Firstly, the EL dynamic averaged expressions of APF are determined in terms of substitution theorem and EL system theory. Secondly, according to passivity theory and EL averaged model presented, the passivity-based feedback control laws and the whole control objectives of APF arc proposed, which can guarantee the stability and achieve asymptotically command tracking. Lastly, in order to overcome the difficulty in estimating the ripple component on dc-side capacitor voltage, the modified control algorithm is proposed by neglecting the ripple component. Simulation results arc presented to verify the validity of the proposed algorithm.
{"title":"A Novel Nonlinear Passivity-Based Control Algorithm for Active Power Filter Using Euler-Lagrange Model","authors":"Zhenhuan Zhang, Huijin Liu, Xiaoli Liu","doi":"10.1109/ICIEA.2007.4318709","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318709","url":null,"abstract":"The performance and application of active power filter (APF) in power system is closely linked to the control strategy. The paper proposes a novel nonlinear passivity-based algorithm for APF based on Euler-Lagrange (EL) dynamic averaged model of APF. Firstly, the EL dynamic averaged expressions of APF are determined in terms of substitution theorem and EL system theory. Secondly, according to passivity theory and EL averaged model presented, the passivity-based feedback control laws and the whole control objectives of APF arc proposed, which can guarantee the stability and achieve asymptotically command tracking. Lastly, in order to overcome the difficulty in estimating the ripple component on dc-side capacitor voltage, the modified control algorithm is proposed by neglecting the ripple component. Simulation results arc presented to verify the validity of the proposed algorithm.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131960813","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318808
Sun Shi-chao, Ji Li-xin, Liu Han-bing
Human speech perception is based on narrow frequency channels, not on whole frequency band. According to the keystone of Human speech perception, the paper introduces multi-band processing into speech recognition system to improve robust. In order to improve the discriminability of speech feature, so as to improve performance of the system, the paper attempts to use independent component analysis (ICA) to transform existing speech feature into another feature space. Experiments over telephone channel show that this system can improve robust to narrow band noises and increase recognition rate obviously.
{"title":"Design of Keyword Recognition System over Telephone Channel Based on Multi-band Processing","authors":"Sun Shi-chao, Ji Li-xin, Liu Han-bing","doi":"10.1109/ICIEA.2007.4318808","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318808","url":null,"abstract":"Human speech perception is based on narrow frequency channels, not on whole frequency band. According to the keystone of Human speech perception, the paper introduces multi-band processing into speech recognition system to improve robust. In order to improve the discriminability of speech feature, so as to improve performance of the system, the paper attempts to use independent component analysis (ICA) to transform existing speech feature into another feature space. Experiments over telephone channel show that this system can improve robust to narrow band noises and increase recognition rate obviously.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132407373","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 : 2007-05-23DOI: 10.1109/ICIEA.2007.4318802
Guo Li, Gao Liqun, Pian Zhao-yu, Wang Kun
Toboggan is an important tool on image segmentation, and the performance of image segmentation based on toboggan mostly independent on the gradient image. A method of image segmentation was presented, which is toboggan segmentation. The gradient image is computed by using the multi-scale morphological gradient operation. The approach of region merging is used after toboggan segmentation. Region merging was carried out according to region area and region homogeneity. It was proved that the method was valid and more accurate than other common algorithms of image segmentation.
{"title":"Image Segmentation Using Multiscale Gradient Toboggan","authors":"Guo Li, Gao Liqun, Pian Zhao-yu, Wang Kun","doi":"10.1109/ICIEA.2007.4318802","DOIUrl":"https://doi.org/10.1109/ICIEA.2007.4318802","url":null,"abstract":"Toboggan is an important tool on image segmentation, and the performance of image segmentation based on toboggan mostly independent on the gradient image. A method of image segmentation was presented, which is toboggan segmentation. The gradient image is computed by using the multi-scale morphological gradient operation. The approach of region merging is used after toboggan segmentation. Region merging was carried out according to region area and region homogeneity. It was proved that the method was valid and more accurate than other common algorithms of image segmentation.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129982666","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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