Pub Date : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570486
Kai Yang, Nizhi Wang, Fei Ma, Lihao Wang
This paper focuses on the problems as the fault mechanism of the laser guided air-to-ground missile dropped at close range fault and flied over target fault. A temperature compensation algorithm on the seeker's output slope has been proposed, which can improve the missile hit accuracy. Mathematical simulation and hardware-in-the-loop simulation have shown that the algorithm can effectively solve the technical problems of the missile in practical applications and improve the comprehensive performance of the weapon system.
{"title":"Research on Comprehensive Performance Improvement of Laser-Guided Missile System","authors":"Kai Yang, Nizhi Wang, Fei Ma, Lihao Wang","doi":"10.1109/ICCAIS.2018.8570486","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570486","url":null,"abstract":"This paper focuses on the problems as the fault mechanism of the laser guided air-to-ground missile dropped at close range fault and flied over target fault. A temperature compensation algorithm on the seeker's output slope has been proposed, which can improve the missile hit accuracy. Mathematical simulation and hardware-in-the-loop simulation have shown that the algorithm can effectively solve the technical problems of the missile in practical applications and improve the comprehensive performance of the weapon system.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116869705","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570513
Tianyang Du, Lihua Tian, Chen Li
Copy-move forgery is the most common type of image forgery. SIFT is widely used in copy-move forgery detection due to its excellent scale invariance and rotation invariance. However, the detection efficiency of the traditional SIFT-based method has not performed very well because its high-dimensional feature descriptors leads to a long time of feature extracting and matching. In this paper we propose an efficient method for copy-move forgery detection. First, for the forged image, we determine the SIFT keypoints with scale and position information. Then, we use BRISK algorithm to generate a binary feature descriptor for each keypoint. Finally, we can use Hamming distance to quickly match similar keypoints. The experimental results show that the proposed method obtains a significant improvement in the speed of forgery detection under the premise of better robustness.
{"title":"Image Copy-Move Forgery Detection Based on SIFT-BRISK","authors":"Tianyang Du, Lihua Tian, Chen Li","doi":"10.1109/ICCAIS.2018.8570513","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570513","url":null,"abstract":"Copy-move forgery is the most common type of image forgery. SIFT is widely used in copy-move forgery detection due to its excellent scale invariance and rotation invariance. However, the detection efficiency of the traditional SIFT-based method has not performed very well because its high-dimensional feature descriptors leads to a long time of feature extracting and matching. In this paper we propose an efficient method for copy-move forgery detection. First, for the forged image, we determine the SIFT keypoints with scale and position information. Then, we use BRISK algorithm to generate a binary feature descriptor for each keypoint. Finally, we can use Hamming distance to quickly match similar keypoints. The experimental results show that the proposed method obtains a significant improvement in the speed of forgery detection under the premise of better robustness.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126512191","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570328
Yi Yang, Deqiang Han, J. Dezert
Multiple classifier fusion belongs to the decision-level information fusion, which has been widely used in many pattern classification applications, especially when the single classifier is not competent. However, multiple classifier fusion can not assure the improvement of the classification accuracy. The diversity among those classifiers in the multiple classifier system (MCS) is crucial for improving the fused classification accuracy. Various diversity measures for MCS have been proposed, which are mainly based on the average sample-wise classification consistency between different member classifiers. In this paper, we propose to define the diversity between member classifiers from a different standpoint. If different member classifiers in an MCS are good at classifying different classes, i.e., there exist expert-classifiers for each concerned class, the improvement of the accuracy of classifier fusion can be expected. Each classifier has a ranking of classes in term of the classification accuracies, based on which, a new diversity measure is implemented using the ranking distance. A larger average ranking distance represents a higher diversity. The new proposed diversity measure is used together with each single classifier's performance on training samples to design and optimize the MCS. Experiments, simulations, and related analyses are provided to illustrate and validate our new proposed diversity measure.
{"title":"A Ranking Distance Based Diversity Measure for Multiple Classifier Systems","authors":"Yi Yang, Deqiang Han, J. Dezert","doi":"10.1109/ICCAIS.2018.8570328","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570328","url":null,"abstract":"Multiple classifier fusion belongs to the decision-level information fusion, which has been widely used in many pattern classification applications, especially when the single classifier is not competent. However, multiple classifier fusion can not assure the improvement of the classification accuracy. The diversity among those classifiers in the multiple classifier system (MCS) is crucial for improving the fused classification accuracy. Various diversity measures for MCS have been proposed, which are mainly based on the average sample-wise classification consistency between different member classifiers. In this paper, we propose to define the diversity between member classifiers from a different standpoint. If different member classifiers in an MCS are good at classifying different classes, i.e., there exist expert-classifiers for each concerned class, the improvement of the accuracy of classifier fusion can be expected. Each classifier has a ranking of classes in term of the classification accuracies, based on which, a new diversity measure is implemented using the ranking distance. A larger average ranking distance represents a higher diversity. The new proposed diversity measure is used together with each single classifier's performance on training samples to design and optimize the MCS. Experiments, simulations, and related analyses are provided to illustrate and validate our new proposed diversity measure.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128883567","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570500
Mei-Hao Yang, Jiang Liu, B. Cai, Tao Wen
With the rapid increasing applications of Global Navigation Satellite System (GNSS) technology in railway train control systems, the specific performance test and evaluation methods and platforms for train positioning units have received more attention in recent years. Considering the varieties and uncertainties in the environmental conditions and critical requirement of safety for railway trains, commercial grade GNSS receivers may not meet specified requirements in safety-related railway operations. In this paper, composition of the GNSS-based train positioning units is presented, where an overlay module for autonomous integrity monitoring is integrated. It enables the implementation of GNSS-based train positioning units under different conditions, even with faults or failures in the raw measurements. Performance properties and the test process of the positioning units are introduced, and the integrity monitoring performance test method dedicated to the train positioning application is designed. Based on results from different testing objects, the feasibility of the frame for test and effectiveness of the presented performance evaluation method are demonstrated, which show the potentials in safety-related GNSS railway applications in the future.
{"title":"Research on Integrity Monitoring Performance Test Method of GNSS-Based Train Positioning Units","authors":"Mei-Hao Yang, Jiang Liu, B. Cai, Tao Wen","doi":"10.1109/ICCAIS.2018.8570500","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570500","url":null,"abstract":"With the rapid increasing applications of Global Navigation Satellite System (GNSS) technology in railway train control systems, the specific performance test and evaluation methods and platforms for train positioning units have received more attention in recent years. Considering the varieties and uncertainties in the environmental conditions and critical requirement of safety for railway trains, commercial grade GNSS receivers may not meet specified requirements in safety-related railway operations. In this paper, composition of the GNSS-based train positioning units is presented, where an overlay module for autonomous integrity monitoring is integrated. It enables the implementation of GNSS-based train positioning units under different conditions, even with faults or failures in the raw measurements. Performance properties and the test process of the positioning units are introduced, and the integrity monitoring performance test method dedicated to the train positioning application is designed. Based on results from different testing objects, the feasibility of the frame for test and effectiveness of the presented performance evaluation method are demonstrated, which show the potentials in safety-related GNSS railway applications in the future.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127843766","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570551
Lifan Sun, Yayuan Zhang, Zhumu Fu, Guoqianhg Zheng, Zishu He, J. Pu
Multi-sensor systems are able to obtain various measurement data, but their accuracy and reliability are difficult to be guaranteed, thus the decision-makings using these data are likely contrary to the facts. In view of this, an approach to multi-sensor decision fusion based on improved Jousselme evidence distance is proposed in the framework of D-S evidence theory. By rationally dividing the similarity Jaccard coefficient matrix, the evidences about conflicted sensor node are described accurately and their weights are reallocated by correction. This facilitates the final decision fusion. Numerical experimental results demonstrate that the proposed decision fusion approach based on the improved Jousselme distance achieves better performance than some existed approaches and largely reduces the uncertainty of the fused decision. To sum up, our approach not only recognizes the evidence about conflicted sensor node rapidly, but also has less risk of decision-makings.
{"title":"An Approach to Multi-Sensor Decision Fusion Based on the Improved Jousselme Evidence Distance","authors":"Lifan Sun, Yayuan Zhang, Zhumu Fu, Guoqianhg Zheng, Zishu He, J. Pu","doi":"10.1109/ICCAIS.2018.8570551","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570551","url":null,"abstract":"Multi-sensor systems are able to obtain various measurement data, but their accuracy and reliability are difficult to be guaranteed, thus the decision-makings using these data are likely contrary to the facts. In view of this, an approach to multi-sensor decision fusion based on improved Jousselme evidence distance is proposed in the framework of D-S evidence theory. By rationally dividing the similarity Jaccard coefficient matrix, the evidences about conflicted sensor node are described accurately and their weights are reallocated by correction. This facilitates the final decision fusion. Numerical experimental results demonstrate that the proposed decision fusion approach based on the improved Jousselme distance achieves better performance than some existed approaches and largely reduces the uncertainty of the fused decision. To sum up, our approach not only recognizes the evidence about conflicted sensor node rapidly, but also has less risk of decision-makings.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855347","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570333
Yuan Huang, S. Chong, T. Song, J. Lee
In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.
{"title":"Multi-path Data Association for Over-the-Horizon Radar Using Linear Multitarget Integrated Probabilistic Data Association","authors":"Yuan Huang, S. Chong, T. Song, J. Lee","doi":"10.1109/ICCAIS.2018.8570333","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570333","url":null,"abstract":"In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130096823","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570521
Zhixin Li, Desheng Wen, Zongxi Song
Fourier Ptychography (FP) is a new method for long-distance, sub-diffraction imaging. However, due to the coherence of laser-illumination and the scattering of the objects' surface, there will be obvious laser speckle noise in measured images. In this work, we reconstruct the high-resolution image following two steps: the first step is to recover the Fourier spectrum using truncated amplitude flow algorithm, and the second step is to enhance the noisy recovered images using denoisers during reconstruction. It's demonstrated that this method can effectively suppress speckle noise, improve PSNR about 7dB and improve SSIM about 0.2 compared with other algorithms.
{"title":"Speckle Reduction for Long Distance Fourier Ptychography Using Truncated Amplitude Flow and Filtering","authors":"Zhixin Li, Desheng Wen, Zongxi Song","doi":"10.1109/ICCAIS.2018.8570521","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570521","url":null,"abstract":"Fourier Ptychography (FP) is a new method for long-distance, sub-diffraction imaging. However, due to the coherence of laser-illumination and the scattering of the objects' surface, there will be obvious laser speckle noise in measured images. In this work, we reconstruct the high-resolution image following two steps: the first step is to recover the Fourier spectrum using truncated amplitude flow algorithm, and the second step is to enhance the noisy recovered images using denoisers during reconstruction. It's demonstrated that this method can effectively suppress speckle noise, improve PSNR about 7dB and improve SSIM about 0.2 compared with other algorithms.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132096059","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570478
Yankun Han, Qianshuai Cheng, Yandong Hou
In order to solve the problem of high dimension and nonlinearity of monitoring data in chemical process, a fault detection method based on the combination of improved isometric mapping (Isomap) and Support Vector Machines (SVM) is proposed. First of all, a new method of Isomap improvement is proposed in this paper, called Standardized Residuals-Isomap (SR-Isomap), to solve the problem that Isomap algorithm is easily affected by noise. Then based on the statistic-proximity ratio r, the residuals are analyzed and the noise is separated within the confidence intervals [-2, 2] to accurately extract the low-dimensional principal components in the high-dimensional and Nonlinear manifold under the noisy environment, the robustness of Isomap algorithm to noise is enhanced. Finally, based on the feature of minimizing the structural risk of support vector machines, an SR-Isomap-SVM fault detection model is constructed and the radial basis function suitable for process monitoring signal is chosen to train and learn the low-dimensional clustering data to realize the fault detection of nonlinear monitoring data with noise. The simulation results of Tennessee Eastman(TE) Process show that this method can effectively realize the fault detection of non-linear chemical process with noise.
{"title":"Fault Detection Method Based on Improved Isomap and SVM in Noise-Containing Nonlinear Process","authors":"Yankun Han, Qianshuai Cheng, Yandong Hou","doi":"10.1109/ICCAIS.2018.8570478","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570478","url":null,"abstract":"In order to solve the problem of high dimension and nonlinearity of monitoring data in chemical process, a fault detection method based on the combination of improved isometric mapping (Isomap) and Support Vector Machines (SVM) is proposed. First of all, a new method of Isomap improvement is proposed in this paper, called Standardized Residuals-Isomap (SR-Isomap), to solve the problem that Isomap algorithm is easily affected by noise. Then based on the statistic-proximity ratio r, the residuals are analyzed and the noise is separated within the confidence intervals [-2, 2] to accurately extract the low-dimensional principal components in the high-dimensional and Nonlinear manifold under the noisy environment, the robustness of Isomap algorithm to noise is enhanced. Finally, based on the feature of minimizing the structural risk of support vector machines, an SR-Isomap-SVM fault detection model is constructed and the radial basis function suitable for process monitoring signal is chosen to train and learn the low-dimensional clustering data to realize the fault detection of nonlinear monitoring data with noise. The simulation results of Tennessee Eastman(TE) Process show that this method can effectively realize the fault detection of non-linear chemical process with noise.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114264981","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570615
Yan Gao, Lian-chuan Ma, Yuan Cao
In order to improve the safety and reliability of the safety computer of the next generation train operation control system, the safety computer using the structure of 2-vote-2 is playing an increasingly important role, and the requirements for the performance and reliability are getting higher and higher. As a real-time system, the synchronization problem of the safety computer is the key to achieving reliability. Therefore, this paper focuses on the analysis and studies on the synchronization problems of the 2-vote-2 safety computer. First of all, the structure of the 2-vote-2 safety computer is analyzed and the synchronization mechanism is designed. A new hierarchical synchronization mechanism is proposed, the bidirectional timing supervision monitor is set up between different levels to achieve the synchronization process of the 2-vote-2 safety computer. Based on this, system software uses task cycle scheduling control and dual-module communication to process the input, calculation and output tasks, synchronize in each task point of the control cycle and achieve the task synchronization. The system's model is built by UPPAAL which based on timed automata, the model is verified and the verification results showed that the designed hierarchical synchronization mechanism conformed to the requirements of design specifications.
{"title":"The Research of Hierarchical Synchronization Mechanism About 2-Vote-2 Safety Computer","authors":"Yan Gao, Lian-chuan Ma, Yuan Cao","doi":"10.1109/ICCAIS.2018.8570615","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570615","url":null,"abstract":"In order to improve the safety and reliability of the safety computer of the next generation train operation control system, the safety computer using the structure of 2-vote-2 is playing an increasingly important role, and the requirements for the performance and reliability are getting higher and higher. As a real-time system, the synchronization problem of the safety computer is the key to achieving reliability. Therefore, this paper focuses on the analysis and studies on the synchronization problems of the 2-vote-2 safety computer. First of all, the structure of the 2-vote-2 safety computer is analyzed and the synchronization mechanism is designed. A new hierarchical synchronization mechanism is proposed, the bidirectional timing supervision monitor is set up between different levels to achieve the synchronization process of the 2-vote-2 safety computer. Based on this, system software uses task cycle scheduling control and dual-module communication to process the input, calculation and output tasks, synchronize in each task point of the control cycle and achieve the task synchronization. The system's model is built by UPPAAL which based on timed automata, the model is verified and the verification results showed that the designed hierarchical synchronization mechanism conformed to the requirements of design specifications.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122370025","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570660
Jiancheng Wang, Yonghua Xu, Meilei Lv
Hybrid energy storage system(HESS) based on wind power generation system(WPGS) plays an important role in smoothing wind power fluctuations. In consideration of limited advantage of single energy storing dielectric, the hybrid energy storage system has a good application prospect with its merits complementation. In this paper, take super-capacitors(SC) and batteries for example, the advantages and disadvantages of different topology structures of power type and energy type are analyzed. Firstly, The HESS topology is built. Then, the model of wind power and principle of bidirectional DC/DC converters for charging and discharging is introduced and a current control is designed. Lastly, fuzzy sliding control strategy of hybrid energy storage system was set. Fuzzy controller can eliminate chattering of sliding controller, and it is used to smooth the power fluctuations and optimize power distribution among each energy unit, according to their different characteristics. A simulation model of the system is built in MATLAB/SIMULINK for WPGS. The results show that the proposed energy management strategy can be used to smooth power fluctuations, and optimize power distribution effectively.
{"title":"Modeling and Simulation Analysis of Hybrid Energy Storage System Based on Wind Power Generation System","authors":"Jiancheng Wang, Yonghua Xu, Meilei Lv","doi":"10.1109/ICCAIS.2018.8570660","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570660","url":null,"abstract":"Hybrid energy storage system(HESS) based on wind power generation system(WPGS) plays an important role in smoothing wind power fluctuations. In consideration of limited advantage of single energy storing dielectric, the hybrid energy storage system has a good application prospect with its merits complementation. In this paper, take super-capacitors(SC) and batteries for example, the advantages and disadvantages of different topology structures of power type and energy type are analyzed. Firstly, The HESS topology is built. Then, the model of wind power and principle of bidirectional DC/DC converters for charging and discharging is introduced and a current control is designed. Lastly, fuzzy sliding control strategy of hybrid energy storage system was set. Fuzzy controller can eliminate chattering of sliding controller, and it is used to smooth the power fluctuations and optimize power distribution among each energy unit, according to their different characteristics. A simulation model of the system is built in MATLAB/SIMULINK for WPGS. The results show that the proposed energy management strategy can be used to smooth power fluctuations, and optimize power distribution effectively.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114992323","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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