Pub Date : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6183995
Hou Jing, Pian Jinxiang, Mengxin Li, Zhang Ying
This paper is mainly introduced a new approach which is based on combining global and local features. The cascade matching algorithm contains two stages: the first is fast matching regions using global region features extracted from the segmentation regions and the second is matching the Affine-SIFT descriptors from the matched region pairs. In the later stage, RANdom SAmple Consensus (RANSAC) is used to filter some false matches and can gain a large increase in speed. Experiments show the effectiveness and superiority of the proposed method in comparing to SIFT and affine SIFT. The method is also fit for the cases of large scale and orientation changes.
{"title":"A new image matching method based on combining global and local features","authors":"Hou Jing, Pian Jinxiang, Mengxin Li, Zhang Ying","doi":"10.1109/ICCIAUTOM.2011.6183995","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183995","url":null,"abstract":"This paper is mainly introduced a new approach which is based on combining global and local features. The cascade matching algorithm contains two stages: the first is fast matching regions using global region features extracted from the segmentation regions and the second is matching the Affine-SIFT descriptors from the matched region pairs. In the later stage, RANdom SAmple Consensus (RANSAC) is used to filter some false matches and can gain a large increase in speed. Experiments show the effectiveness and superiority of the proposed method in comparing to SIFT and affine SIFT. The method is also fit for the cases of large scale and orientation changes.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121280106","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6183898
Huang Jin-feng, Zhang He-xin, Fan Jin-suo, Wu Yu-Bin
According to the general form of updating data with forgetting factor, several conclusions are obtained in updating I/O Hankel matrices. Based on these conclusions, new subspace identification and relative SPC methods are proposed with variable forgetting factor for improving the performance in tracking the time-varying information. And the forgetting factor's update is realized by the distance between expected outputs and measured outputs. Finally, the efficiency of modified method is illustrated with a simulation example.
{"title":"Subspace predictive controlle method with updating variable forgetting factor","authors":"Huang Jin-feng, Zhang He-xin, Fan Jin-suo, Wu Yu-Bin","doi":"10.1109/ICCIAUTOM.2011.6183898","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183898","url":null,"abstract":"According to the general form of updating data with forgetting factor, several conclusions are obtained in updating I/O Hankel matrices. Based on these conclusions, new subspace identification and relative SPC methods are proposed with variable forgetting factor for improving the performance in tracking the time-varying information. And the forgetting factor's update is realized by the distance between expected outputs and measured outputs. Finally, the efficiency of modified method is illustrated with a simulation example.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121267169","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6183991
Zhifeng Wang, Zhongjian Li
In this paper, a robust Neural Network (neuro) aided H2 control scheme is developed for a nonlinear F16 aircraft in auto-landing phase under actuator failure and severe wind conditions. In this scheme, a dynamic Radial Basis Function network called Minimal Resource Allocating Network (MRAN) that incorporates a growing and pruning strategy, is utilized to aid H2 controller using a feedback-error-learning mechanism. Specifically, the performance of this neuro-H2 controller for an aircraft auto-landing is studied and compared with H2 control schemes. Simulation studies show that the performance obtained by the neuro-H2 controller scheme is better than H2 controller.
{"title":"Neuro controller design for aircraft auto-landing under actuator failure and severe wind condition","authors":"Zhifeng Wang, Zhongjian Li","doi":"10.1109/ICCIAUTOM.2011.6183991","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183991","url":null,"abstract":"In this paper, a robust Neural Network (neuro) aided H2 control scheme is developed for a nonlinear F16 aircraft in auto-landing phase under actuator failure and severe wind conditions. In this scheme, a dynamic Radial Basis Function network called Minimal Resource Allocating Network (MRAN) that incorporates a growing and pruning strategy, is utilized to aid H2 controller using a feedback-error-learning mechanism. Specifically, the performance of this neuro-H2 controller for an aircraft auto-landing is studied and compared with H2 control schemes. Simulation studies show that the performance obtained by the neuro-H2 controller scheme is better than H2 controller.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"492 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127578767","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}
This paper describes an adaptive course controller with rudder dynamics. The model is described by a third order nonlinear model with unknown parameters. An adaptive neural network (NN )control algorithm based on dynamic surface control (DSC) is developed. With only one learning parameter and reduced computation load, the proposed algorithm can avoid both problem of “explosion of complexity” in the conventional backstepping method and singularity problem. In addition, the boundedness stability of the closed-loop system is guaranteed and tracking error can be made arbitrary small. The effectiveness of the presented autopilot has been demonstrated in the simulation.
{"title":"Robust adaptive NN course controller design based on DSC","authors":"H. Sun, Fengwei Yu, Jinlu Sheng","doi":"10.12696/GSAM.2013.1015","DOIUrl":"https://doi.org/10.12696/GSAM.2013.1015","url":null,"abstract":"This paper describes an adaptive course controller with rudder dynamics. The model is described by a third order nonlinear model with unknown parameters. An adaptive neural network (NN )control algorithm based on dynamic surface control (DSC) is developed. With only one learning parameter and reduced computation load, the proposed algorithm can avoid both problem of “explosion of complexity” in the conventional backstepping method and singularity problem. In addition, the boundedness stability of the closed-loop system is guaranteed and tracking error can be made arbitrary small. The effectiveness of the presented autopilot has been demonstrated in the simulation.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132681613","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}
Based on the special demand of energy control for wireless sensor network, this paper proposed an on-demand multi-path and power-saving ant colony algorithm. The algorithm balances the energy consumption and creates small network latency. It synthesizes the concept of ACO and AODV protocol. It can find multiple transmission paths from sources to the goal by parallel search. The experimental results show that the algorithm is more effective and available than MACO and ACA in routing cost and energy dissipation.
{"title":"A routing algorithm of ant colony algorithm for wireless sensor network","authors":"Yujun Ma, Shengbin Liang","doi":"10.12696/GSAM.2013.0939","DOIUrl":"https://doi.org/10.12696/GSAM.2013.0939","url":null,"abstract":"Based on the special demand of energy control for wireless sensor network, this paper proposed an on-demand multi-path and power-saving ant colony algorithm. The algorithm balances the energy consumption and creates small network latency. It synthesizes the concept of ACO and AODV protocol. It can find multiple transmission paths from sources to the goal by parallel search. The experimental results show that the algorithm is more effective and available than MACO and ACA in routing cost and energy dissipation.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133175123","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6183983
L. Jia
Laser beam divergence angle is an important parameter to characterize laser beam quality. LABVIEW is used to build up a test platform to measure the laser beam divergence angle. The test software, which is based on principle of divergence angle measuring, regards 86.5% of the total energy as beam divergence edge measurement standard. Testing results indicate that, the test software has done well in display function and maneuverability, and the error of the measurement system is within 0.05mrad which fulfills requirements of divergence angle test.
{"title":"Design of laser divergence angle test software based on labview","authors":"L. Jia","doi":"10.1109/ICCIAUTOM.2011.6183983","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183983","url":null,"abstract":"Laser beam divergence angle is an important parameter to characterize laser beam quality. LABVIEW is used to build up a test platform to measure the laser beam divergence angle. The test software, which is based on principle of divergence angle measuring, regards 86.5% of the total energy as beam divergence edge measurement standard. Testing results indicate that, the test software has done well in display function and maneuverability, and the error of the measurement system is within 0.05mrad which fulfills requirements of divergence angle test.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133280454","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6183920
Sun Aijun
The important feature of fluid-structure interaction (FSI) is the interaction between the two-phase media. FSI calculation is processed based on CFX and Workbench. Firstly, DesignModeler is used to creat the solid blade with the single channel flow field. Secondly, the grids for the blade and the flow field are created through the unique grid system in Workbench. Finally, the model will be calculated by using the FSI method. The stress and displacement of blade, the velocity and pressure of flow field, and the changes of grid can be obtained. The simulation result is reasonable and has some reference value to the FSI analysisi.
{"title":"Numerical simulation of fluid-structure interaction FOR blade based on CFX and Workbench","authors":"Sun Aijun","doi":"10.1109/ICCIAUTOM.2011.6183920","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183920","url":null,"abstract":"The important feature of fluid-structure interaction (FSI) is the interaction between the two-phase media. FSI calculation is processed based on CFX and Workbench. Firstly, DesignModeler is used to creat the solid blade with the single channel flow field. Secondly, the grids for the blade and the flow field are created through the unique grid system in Workbench. Finally, the model will be calculated by using the FSI method. The stress and displacement of blade, the velocity and pressure of flow field, and the changes of grid can be obtained. The simulation result is reasonable and has some reference value to the FSI analysisi.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134251625","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6183908
Fan Shuyi, Wang Cheng, Cui Shao Shui
This paper develops a practical dynamic scheduling parallel test system with multi-threading technology that CVI supports and appropriate hardware resources. In process of tasks scheduling, it can automatically search for available free test resources dynamically and allocate it to the task that is waiting to be tested. The test result shows this method can make full use of test resources and improves the test efficiency greatly as compared with serial test.
{"title":"A dynamic scheduling parallel test system with CVI","authors":"Fan Shuyi, Wang Cheng, Cui Shao Shui","doi":"10.1109/ICCIAUTOM.2011.6183908","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183908","url":null,"abstract":"This paper develops a practical dynamic scheduling parallel test system with multi-threading technology that CVI supports and appropriate hardware resources. In process of tasks scheduling, it can automatically search for available free test resources dynamically and allocate it to the task that is waiting to be tested. The test result shows this method can make full use of test resources and improves the test efficiency greatly as compared with serial test.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"12 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113958681","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6183981
Zhou Jian, Xie Rong, Gu Xiao-jie, Li Wen-chao
This paper describes a method for generating the turbulent wind field which accords with the characteristics of atmospheric turbulence model. The model of turbulent wind with colored noise is presented and then the whitening model of the UAV state is obtained by the state augmentation. This paper also designs a Kalman filter based on the colored noisey flight speed of the UAV which can solve the problem that the classic Kalman filter only can be applied in the white color model. The simulation demostrates that this filter can reduce the influence of the wind turbulence on the UAV flight speed, and thus the accuracy of the flight speed control can be satisfied.
{"title":"The Kalman filter for UAV in the turbulent flow","authors":"Zhou Jian, Xie Rong, Gu Xiao-jie, Li Wen-chao","doi":"10.1109/ICCIAUTOM.2011.6183981","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183981","url":null,"abstract":"This paper describes a method for generating the turbulent wind field which accords with the characteristics of atmospheric turbulence model. The model of turbulent wind with colored noise is presented and then the whitening model of the UAV state is obtained by the state augmentation. This paper also designs a Kalman filter based on the colored noisey flight speed of the UAV which can solve the problem that the classic Kalman filter only can be applied in the white color model. The simulation demostrates that this filter can reduce the influence of the wind turbulence on the UAV flight speed, and thus the accuracy of the flight speed control can be satisfied.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122879173","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 : 2011-12-01DOI: 10.1109/ICCIAUTOM.2011.6184021
Lu Zheng, Zhang Fengrui
The performance of vector control (VC) system for induction motor is depended on the rotor flux estimation in a large degree. Extended Kalman filter (EKF) is useful to estimate state variables when the measured signal is mixed with noise. A flux linkage estimation method for induction motor based on EKF theory is presented in this paper, where, the stator current, as well as flux linkage are regarded as the state variables to be estimated by joint filtering. For the sake of improving the accuracy of the filtering, genetic algorithm (GA)is introduced to optimize the noise matrix in EKF. The closed loop system composed by vector controller and the proposed flux linkage observer with optimized filtering parameter has better estimating accuracy and dynamic speed performance than ordinary vector control scheme. The effectiveness is verified by simulation and experimental results.
{"title":"A method of vector control system based on genetic algorithm","authors":"Lu Zheng, Zhang Fengrui","doi":"10.1109/ICCIAUTOM.2011.6184021","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6184021","url":null,"abstract":"The performance of vector control (VC) system for induction motor is depended on the rotor flux estimation in a large degree. Extended Kalman filter (EKF) is useful to estimate state variables when the measured signal is mixed with noise. A flux linkage estimation method for induction motor based on EKF theory is presented in this paper, where, the stator current, as well as flux linkage are regarded as the state variables to be estimated by joint filtering. For the sake of improving the accuracy of the filtering, genetic algorithm (GA)is introduced to optimize the noise matrix in EKF. The closed loop system composed by vector controller and the proposed flux linkage observer with optimized filtering parameter has better estimating accuracy and dynamic speed performance than ordinary vector control scheme. The effectiveness is verified by simulation and experimental results.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125581120","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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