Pub Date : 2016-06-05DOI: 10.1109/ICIEA.2016.7603720
Jin Ma, Dongdong Zhang, W. Yuan, Kun-Jing Liu, Weidong Xu, P. Yan
Electromagnetic gun loading control system is based on the core chip of STM32F103VET6, and the measurement system based on LABVIEW. Displacement sensor and pressure sensor of signals are collected and transmitted via two USB to PC, it can be observed in real time online, at the same time, people can control the movement of the push rod status by PC to send commands. STM32 chip has low power consumption and high stability, so it is to detect displacement of the core control chip in this system. The propeller range is 0-600 mm, to reduce displacement and thrust of error and improve operational efficiency of the system, the feedback control algorithm with a cloud model, cloud controller is designed so that the control accuracy of ± 5mm, and enhance the system rapidity. Meanwhile the control system can not only realize the real-time intelligent control and tracking, but also enhance the stability and robustness of the system.
{"title":"Electromagnetic gun loading control system based on cloud model","authors":"Jin Ma, Dongdong Zhang, W. Yuan, Kun-Jing Liu, Weidong Xu, P. Yan","doi":"10.1109/ICIEA.2016.7603720","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603720","url":null,"abstract":"Electromagnetic gun loading control system is based on the core chip of STM32F103VET6, and the measurement system based on LABVIEW. Displacement sensor and pressure sensor of signals are collected and transmitted via two USB to PC, it can be observed in real time online, at the same time, people can control the movement of the push rod status by PC to send commands. STM32 chip has low power consumption and high stability, so it is to detect displacement of the core control chip in this system. The propeller range is 0-600 mm, to reduce displacement and thrust of error and improve operational efficiency of the system, the feedback control algorithm with a cloud model, cloud controller is designed so that the control accuracy of ± 5mm, and enhance the system rapidity. Meanwhile the control system can not only realize the real-time intelligent control and tracking, but also enhance the stability and robustness of the system.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123024145","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603865
Tu Yi-yun
This paper establish mathematical models aimed at minimizing the peak-valley difference of power load and maximizing the profit of consumer for the participation of EVs on the base of adopting real-time price in electricity market. Then solve it by Particle Swarm Optimization(PSO) algorithm, obtain load curves between EVs and power grid. Results show that effect of load regulation and value of profit have obvious variation on different weight coefficients, thus realize multi-target control strategy.
{"title":"The research on multi-target control strategy of EVs based on real-time price","authors":"Tu Yi-yun","doi":"10.1109/ICIEA.2016.7603865","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603865","url":null,"abstract":"This paper establish mathematical models aimed at minimizing the peak-valley difference of power load and maximizing the profit of consumer for the participation of EVs on the base of adopting real-time price in electricity market. Then solve it by Particle Swarm Optimization(PSO) algorithm, obtain load curves between EVs and power grid. Results show that effect of load regulation and value of profit have obvious variation on different weight coefficients, thus realize multi-target control strategy.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114487326","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603909
Jin Cao, Guoli Li, Xing Qi, Qiubo Ye, Qian Zhang, Qunjing Wang
A novel design of a nonlinear full-order observer for sensorless vector controlled induction motors is proposed in this paper. It is known that the speed-sensorless vector control drive system of induction motors does not perform satisfactorily at the low speed, which is caused by the voltage model and its emf calculation of motors. The nonlinear full-order observer system abandons the voltage model and its emf calculation of motors, makes use of the motor as a reference model and the stator model together with the current model as an adjustable model. In this paper, the model reference adaptive system (MRAS) is proposed, and then the nonlinear full-order observer system is presented based on the MRAS. Finally, several simulations verify feasibility of the proposed strategy.
{"title":"Sensorless vector control system of induction motor by nonlinear full-order observer","authors":"Jin Cao, Guoli Li, Xing Qi, Qiubo Ye, Qian Zhang, Qunjing Wang","doi":"10.1109/ICIEA.2016.7603909","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603909","url":null,"abstract":"A novel design of a nonlinear full-order observer for sensorless vector controlled induction motors is proposed in this paper. It is known that the speed-sensorless vector control drive system of induction motors does not perform satisfactorily at the low speed, which is caused by the voltage model and its emf calculation of motors. The nonlinear full-order observer system abandons the voltage model and its emf calculation of motors, makes use of the motor as a reference model and the stator model together with the current model as an adjustable model. In this paper, the model reference adaptive system (MRAS) is proposed, and then the nonlinear full-order observer system is presented based on the MRAS. Finally, several simulations verify feasibility of the proposed strategy.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122115796","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603589
K. Xia, Jing Lu, Bin Dong, X. Yuan, Chang Liu
This paper analyzes two novel methods of torque ripple testing and efficiency evaluation for three-phase induction motor. A high-precision torque sensor and a digital filter are used to observe torque ripple and measure torque value of the induction motor. By using indirect efficiency measurement, temperature influences on the resistance are taken into account and the torque on the shaft could be compensated. Therefore, precision of the novel methods are higher than that of the traditional method. After optimizing software, the time cost for both torque ripple testing and efficiency measurement is reduced in comparison with conventional methods.
{"title":"A new test system for torque testing and efficiency measurement of three-phase induction motor","authors":"K. Xia, Jing Lu, Bin Dong, X. Yuan, Chang Liu","doi":"10.1109/ICIEA.2016.7603589","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603589","url":null,"abstract":"This paper analyzes two novel methods of torque ripple testing and efficiency evaluation for three-phase induction motor. A high-precision torque sensor and a digital filter are used to observe torque ripple and measure torque value of the induction motor. By using indirect efficiency measurement, temperature influences on the resistance are taken into account and the torque on the shaft could be compensated. Therefore, precision of the novel methods are higher than that of the traditional method. After optimizing software, the time cost for both torque ripple testing and efficiency measurement is reduced in comparison with conventional methods.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122214117","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603729
Yanrong Guo, Shihao Zou, Huiqi Li
Depth estimation, which is mostly performed by stereo vision, is a remarkable task in vision and scene understanding. In this paper, depth map estimation from a single image is investigated and applied in pedestrian candidate generation. To recover accurate depth map from a single image, a Markov Random Field (MRF) model that incorporates both image depth cues and the relationships between different parts of the image is employed. The MRF model can be trained via supervised learning. Then a method is proposed to generate pedestrian candidates using both our estimated depth information and geometric information achieved from the image. Both representations of the scene are fused to limit the region of interest to objects standing vertically on the ground and having certain height. The proposed algorithm is tested using a public database and a considerable reduction in the number of candidate windows is achieved, which translates into a significant time-saving.
{"title":"Depth estimation from a single image in pedestrian candidate generation","authors":"Yanrong Guo, Shihao Zou, Huiqi Li","doi":"10.1109/ICIEA.2016.7603729","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603729","url":null,"abstract":"Depth estimation, which is mostly performed by stereo vision, is a remarkable task in vision and scene understanding. In this paper, depth map estimation from a single image is investigated and applied in pedestrian candidate generation. To recover accurate depth map from a single image, a Markov Random Field (MRF) model that incorporates both image depth cues and the relationships between different parts of the image is employed. The MRF model can be trained via supervised learning. Then a method is proposed to generate pedestrian candidates using both our estimated depth information and geometric information achieved from the image. Both representations of the scene are fused to limit the region of interest to objects standing vertically on the ground and having certain height. The proposed algorithm is tested using a public database and a considerable reduction in the number of candidate windows is achieved, which translates into a significant time-saving.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129920330","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603759
Jintao Cui, Xiumei Tao, Dazhi Xin, Chao Lyu
From the angle of mechanical design, this paper studies on the method of capacity increase for the main lifting system of the large scale casting crane, puts forward a specific solution. Furthermore, introduces the methods of finite element analysis and fatigue life prediction for the key components, and the method to evaluate the functional performance of the equipment according to the analysis results.
{"title":"Study on the method of capacity increase for the main lifting system of the casting crane","authors":"Jintao Cui, Xiumei Tao, Dazhi Xin, Chao Lyu","doi":"10.1109/ICIEA.2016.7603759","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603759","url":null,"abstract":"From the angle of mechanical design, this paper studies on the method of capacity increase for the main lifting system of the large scale casting crane, puts forward a specific solution. Furthermore, introduces the methods of finite element analysis and fatigue life prediction for the key components, and the method to evaluate the functional performance of the equipment according to the analysis results.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129086541","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603649
Zhen Zeng, Hong Liang, Ming Su, Chunnian Zeng
Mobile robot technology has been one of the most promising topics recently. As the basis of mobile robots, object recognition has important research significance to perceive environments. Float-point descriptors like SIFT are widely used for object recognition, but need large storage and computational costs. To overcome the limitations of float-point descriptors applied to mobile robots, binary descriptors are put forward. Since the property of object recognition algorithms can be affected by the selection of descriptors, evaluation of different descriptors to compare performance of them is necessary. However, evaluation of up-to-date binary descriptors for mobile robots is lack. In this paper, an evaluation of several algorithms based on binary descriptors i.e. BRIEF, ORB, BRISK and FREAK on a mobile robot object recognition dataset is provided. To find an efficient descriptor for mobile robots, some typical performance metrics are used to analyze the results of evaluation. And an improved object recognition strategy is presented. It can enhance the performance of binary descriptors for object recognition of mobile robots. This paper can provide a practical reference for researchers in this field.
{"title":"Performance evaluation of binary descriptors for mobile robots","authors":"Zhen Zeng, Hong Liang, Ming Su, Chunnian Zeng","doi":"10.1109/ICIEA.2016.7603649","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603649","url":null,"abstract":"Mobile robot technology has been one of the most promising topics recently. As the basis of mobile robots, object recognition has important research significance to perceive environments. Float-point descriptors like SIFT are widely used for object recognition, but need large storage and computational costs. To overcome the limitations of float-point descriptors applied to mobile robots, binary descriptors are put forward. Since the property of object recognition algorithms can be affected by the selection of descriptors, evaluation of different descriptors to compare performance of them is necessary. However, evaluation of up-to-date binary descriptors for mobile robots is lack. In this paper, an evaluation of several algorithms based on binary descriptors i.e. BRIEF, ORB, BRISK and FREAK on a mobile robot object recognition dataset is provided. To find an efficient descriptor for mobile robots, some typical performance metrics are used to analyze the results of evaluation. And an improved object recognition strategy is presented. It can enhance the performance of binary descriptors for object recognition of mobile robots. This paper can provide a practical reference for researchers in this field.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129246141","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603990
Zeru Lu, Huang Bai, Binbin Sun
This paper deals with the problem of designing the sensing matrix Φ for a compressed sensing (CS) system, in which the dictionary Ψ is assumed to be given. The optimal sensing matrix design is formulated as to identify those Φ which minimize a proposed coherence-based measure with the constraint that the equivalent dictionary A = ΦΨ is normalized. Unlike the existing measures, the proposed measure is defined as the sum of lp-norm-based coherence factors. A gradient-based algorithm is derived for solving this problem. Experiments are carried out and simulations show that the sensing matrix obtained by the proposed algorithm significantly improves the signal recovery accuracy of the CS system and outperforms those by existing algorithms.
{"title":"A gradient-based algorithm for optimizing sensing matrix with normalization constraint","authors":"Zeru Lu, Huang Bai, Binbin Sun","doi":"10.1109/ICIEA.2016.7603990","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603990","url":null,"abstract":"This paper deals with the problem of designing the sensing matrix Φ for a compressed sensing (CS) system, in which the dictionary Ψ is assumed to be given. The optimal sensing matrix design is formulated as to identify those Φ which minimize a proposed coherence-based measure with the constraint that the equivalent dictionary A = ΦΨ is normalized. Unlike the existing measures, the proposed measure is defined as the sum of lp-norm-based coherence factors. A gradient-based algorithm is derived for solving this problem. Experiments are carried out and simulations show that the sensing matrix obtained by the proposed algorithm significantly improves the signal recovery accuracy of the CS system and outperforms those by existing algorithms.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124583473","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603766
Qiuye Sun, Rui Wang, Yue Han
Microgrids are key elements for integrating various distributed energy resources (DERs). Conventionally, the real power-frequency droop control and the reactive power-voltage magnitude droop control are adopted in DERs. However, when the power is up to an extreme limit, the frequency and voltage must be cut off and the control strategies can no longer adopt the droop control but the PQ control. In this paper, the exponential real power-frequency droop control and the exponential reactive power-voltage magnitude droop control are proposed to solve the aforesaid problem. Additionally, the proposed control strategies are able to simply the network of the system and improve efficiency of the system. Their definition and control method are proposed and researched and the simulation results demonstrate the effectiveness of the proposed method.
{"title":"Voltage and power management in AC micro-grids with exponential droop control","authors":"Qiuye Sun, Rui Wang, Yue Han","doi":"10.1109/ICIEA.2016.7603766","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603766","url":null,"abstract":"Microgrids are key elements for integrating various distributed energy resources (DERs). Conventionally, the real power-frequency droop control and the reactive power-voltage magnitude droop control are adopted in DERs. However, when the power is up to an extreme limit, the frequency and voltage must be cut off and the control strategies can no longer adopt the droop control but the PQ control. In this paper, the exponential real power-frequency droop control and the exponential reactive power-voltage magnitude droop control are proposed to solve the aforesaid problem. Additionally, the proposed control strategies are able to simply the network of the system and improve efficiency of the system. Their definition and control method are proposed and researched and the simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126669258","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 : 2016-06-05DOI: 10.1109/ICIEA.2016.7603572
Zhi‐Min Chen, G. Cao, Su-Dan Huang, H. Zheng
This paper proposes a dual-loop control strategy using a robust controller for the emerging planar switched reluctance motor (PSRM) to achieve precise positioning. The mechanical structure and transfer functions with known parameters obtained via a forgetting factor recursive least-squares algorithm of the PSRM are first presented. Then, the description of the control strategy, the depiction of the dual-loop position control strategy with an outer-loop robust H controller and an inner proportional loop with position feedback, the design of the robust Ho controller, and the stability analysis for the PSRM are given sequentially. Additionally, the positioning of the PSRM system with the dual-loop control strategy is performed via simulation and experiment. The validity of the proposed strategy for the PSRM is finally verified through the simulation and experimental results.
{"title":"Dual-loop control strategy with a robust controller of the planar switched reluctance motor for precise positioning","authors":"Zhi‐Min Chen, G. Cao, Su-Dan Huang, H. Zheng","doi":"10.1109/ICIEA.2016.7603572","DOIUrl":"https://doi.org/10.1109/ICIEA.2016.7603572","url":null,"abstract":"This paper proposes a dual-loop control strategy using a robust controller for the emerging planar switched reluctance motor (PSRM) to achieve precise positioning. The mechanical structure and transfer functions with known parameters obtained via a forgetting factor recursive least-squares algorithm of the PSRM are first presented. Then, the description of the control strategy, the depiction of the dual-loop position control strategy with an outer-loop robust H controller and an inner proportional loop with position feedback, the design of the robust Ho controller, and the stability analysis for the PSRM are given sequentially. Additionally, the positioning of the PSRM system with the dual-loop control strategy is performed via simulation and experiment. The validity of the proposed strategy for the PSRM is finally verified through the simulation and experimental results.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130629038","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：