Pub Date : 2017-05-28DOI: 10.1109/CCDC.2017.7978910
Shi Jun, Zhuang Xintian, L. Congcong, Z. Weiping
Based on supply chain inventory pledge financing, under the unified credit model, the research object is supply chain that consists of third-party logistics companies, financial institutions, manufacturers, small and medium retail businesses, research the TPL inventory credit decision problem when the market demand is random. The credit decision model of the third party logistics enterprises is constructed, and the supervision degree and the regulatory cost function are introduced into the expected return model of logistics enterprises. This paper discussed the problem of the retailer credit risk and the service decision of the logistics enterprise, and gives the corresponding countermeasures and suggestions.
{"title":"3PL inventory pledge decision analysis under the unified credit logistics model","authors":"Shi Jun, Zhuang Xintian, L. Congcong, Z. Weiping","doi":"10.1109/CCDC.2017.7978910","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978910","url":null,"abstract":"Based on supply chain inventory pledge financing, under the unified credit model, the research object is supply chain that consists of third-party logistics companies, financial institutions, manufacturers, small and medium retail businesses, research the TPL inventory credit decision problem when the market demand is random. The credit decision model of the third party logistics enterprises is constructed, and the supervision degree and the regulatory cost function are introduced into the expected return model of logistics enterprises. This paper discussed the problem of the retailer credit risk and the service decision of the logistics enterprise, and gives the corresponding countermeasures and suggestions.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"43 1","pages":"2363-2367"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72594300","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978258
Cong Dehong, Zhang Liangqi, Sun Pengpeng, Tang Zaiyang, Meng Yuhao, Wang Yong
Lidar, an important navigation instrument, is applied on various service robots and is receiving increasing attention. To solve the problem that present lidar systems are large, expensive, complecated to use and have low accuracy. This paper introduces a lidar navigation system with an upper computer application facing service robots. This lidar system is based on triangulation measurement which can get accurate distance results with our algorithm and the upper computer application can draw a 2D image. This system emits laser with a 5nw visible laser transmitter and receives the laser with a Dlis 2k photosensitive sensor, so that the system can calculate the distance to the measured object. With our mechanical design, our lidar system can realize 360° measurement. It also has an accaptable accuracy and cost.
{"title":"Design and implementation of LiDAR navigation system based on triangulation measurement","authors":"Cong Dehong, Zhang Liangqi, Sun Pengpeng, Tang Zaiyang, Meng Yuhao, Wang Yong","doi":"10.1109/CCDC.2017.7978258","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978258","url":null,"abstract":"Lidar, an important navigation instrument, is applied on various service robots and is receiving increasing attention. To solve the problem that present lidar systems are large, expensive, complecated to use and have low accuracy. This paper introduces a lidar navigation system with an upper computer application facing service robots. This lidar system is based on triangulation measurement which can get accurate distance results with our algorithm and the upper computer application can draw a 2D image. This system emits laser with a 5nw visible laser transmitter and receives the laser with a Dlis 2k photosensitive sensor, so that the system can calculate the distance to the measured object. With our mechanical design, our lidar system can realize 360° measurement. It also has an accaptable accuracy and cost.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"168 1","pages":"6060-6063"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72671616","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7979243
Puxian Li, Zhong Zhao
In this work, an IMC (Internal Model Control) — Dahlin temperature control method based on relay feedback self-tuning identification is proposed. The proposed method is based on relay feedback self-tuning identification and has double-loop control structure. According to the time delay and large time constant features of thermostat regulation, Dahlin control algorithm is applied to the inner loop to stabilize the process. To compensate the ringing response of Dahlin control and improve the robustness of the overall system, IMC control algorithm is applied to the outer loop. The parameters of Dahlin controller and IMC controller are optimized with LQR (Linear Quadratic Regulator) algorithm. The proposed method has been applied to develop a temperature regulator based on C2B8SNFA MCU (Micro Controller Unit) for thermostat. The real application results have verified the feasibility and effectiveness of the proposed method and the developed temperature regulator for thermostat.
{"title":"IMC — Dahlin temperature regulator for thermostat","authors":"Puxian Li, Zhong Zhao","doi":"10.1109/CCDC.2017.7979243","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7979243","url":null,"abstract":"In this work, an IMC (Internal Model Control) — Dahlin temperature control method based on relay feedback self-tuning identification is proposed. The proposed method is based on relay feedback self-tuning identification and has double-loop control structure. According to the time delay and large time constant features of thermostat regulation, Dahlin control algorithm is applied to the inner loop to stabilize the process. To compensate the ringing response of Dahlin control and improve the robustness of the overall system, IMC control algorithm is applied to the outer loop. The parameters of Dahlin controller and IMC controller are optimized with LQR (Linear Quadratic Regulator) algorithm. The proposed method has been applied to develop a temperature regulator based on C2B8SNFA MCU (Micro Controller Unit) for thermostat. The real application results have verified the feasibility and effectiveness of the proposed method and the developed temperature regulator for thermostat.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"55 1","pages":"4238-4242"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73487449","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978524
Li Yu, Chunyang Wang, Hongwei Shi, Ruihao Xin, Lingxin Wang
Aiming at the nonlinear and multivariable complex systems of permanent magnet synchronous motor, a magnetic field oriented control strategy based on SVPWM permanent magnet synchronous motor is proposed. The space vector PWM has the character of wide linear range, little higher harmonic and easy digital realization. The FOC theory and SVPWM technique make the PMSM can achieve the performance as well as DC motor. The mathematical model of PMSM is analyzed and the system model of FOC vector control has been established. The control system has been also simulated by MATLAB/Simulink. The simulation results accord with the real motor's performance and provide the theory basis for the designing of real system.
{"title":"Simulation of PMSM field-oriented control based on SVPWM","authors":"Li Yu, Chunyang Wang, Hongwei Shi, Ruihao Xin, Lingxin Wang","doi":"10.1109/CCDC.2017.7978524","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978524","url":null,"abstract":"Aiming at the nonlinear and multivariable complex systems of permanent magnet synchronous motor, a magnetic field oriented control strategy based on SVPWM permanent magnet synchronous motor is proposed. The space vector PWM has the character of wide linear range, little higher harmonic and easy digital realization. The FOC theory and SVPWM technique make the PMSM can achieve the performance as well as DC motor. The mathematical model of PMSM is analyzed and the system model of FOC vector control has been established. The control system has been also simulated by MATLAB/Simulink. The simulation results accord with the real motor's performance and provide the theory basis for the designing of real system.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"36 1","pages":"7407-7411"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78019525","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}
As the first step towards the natural interaction between human and multi-UAV system, we present a novel human-UAV interaction method based on hand gesture recognition. We design different hand gestures corresponding to different UAV commands and propose a stable algorithm to distinguish these gestures. Then, considering the fact that the operation of multi-UAV system may need multiple cooperative operators, an algorithm based on position information and color information is designed to identify multiple operators. Thus multi-user recongnition by hand gestures is achieved. Lastly, we combine the results of hand gesture recognition of multiple operators with UAV control under Robot Operation System (ROS) framework and use AR Drone platform to test the whole system's performance.
{"title":"ROS-based UAV control using hand gesture recognition","authors":"Yangguang Yu, Xiangke Wang, Zhiwei Zhong, Yongwei Zhang","doi":"10.1109/CCDC.2017.7978402","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978402","url":null,"abstract":"As the first step towards the natural interaction between human and multi-UAV system, we present a novel human-UAV interaction method based on hand gesture recognition. We design different hand gestures corresponding to different UAV commands and propose a stable algorithm to distinguish these gestures. Then, considering the fact that the operation of multi-UAV system may need multiple cooperative operators, an algorithm based on position information and color information is designed to identify multiple operators. Thus multi-user recongnition by hand gestures is achieved. Lastly, we combine the results of hand gesture recognition of multiple operators with UAV control under Robot Operation System (ROS) framework and use AR Drone platform to test the whole system's performance.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"26 1","pages":"6795-6799"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74679251","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978213
Zhang Jing, Yang Xiaoduo, Fan Hongbo
To improve the performance of real-time task scheduling and the utilization of the system resources in Cyber-Physical System, at the same time, to reduce the number of task switching, this paper improved traditional preemptive task scheduling, introduced the concept of buffer time and the guard time, made judgments when the task may need to switch to, according to the situation to retain the task which had lower priority but should not be suspended, and let the higher priority task wait for a while. Finally, our research verifies the performance of the algorithm by examples and simulation experiments, demonstrates that the algorithm can optimize the performance of CPS, avoids the jitter caused by frequent task switching and its adverse effects on system performance, reduces the number of task switching, and improves the utilization of resources within the system to some extent.
{"title":"An improved real-time task preemptive scheduling in cyber-physical systems","authors":"Zhang Jing, Yang Xiaoduo, Fan Hongbo","doi":"10.1109/CCDC.2017.7978213","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978213","url":null,"abstract":"To improve the performance of real-time task scheduling and the utilization of the system resources in Cyber-Physical System, at the same time, to reduce the number of task switching, this paper improved traditional preemptive task scheduling, introduced the concept of buffer time and the guard time, made judgments when the task may need to switch to, according to the situation to retain the task which had lower priority but should not be suspended, and let the higher priority task wait for a while. Finally, our research verifies the performance of the algorithm by examples and simulation experiments, demonstrates that the algorithm can optimize the performance of CPS, avoids the jitter caused by frequent task switching and its adverse effects on system performance, reduces the number of task switching, and improves the utilization of resources within the system to some extent.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"82 1 1","pages":"5843-5848"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79814121","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978463
Zhang Bin-wen, T. Wen, Li Jian
This paper applies ADRC algorithm to the inverted pendulum stabilization problem. Since the extended state observer and control law can be nonlinear or linear, different combinations are designed to balance the pendulum's angle. It also offers a practical solution that the nonlinear parameters are tuned as the linear ones. The output response speed and control variable are compromised to determine the preferable structure. Simulations showed that ADRC has good performance on stability, anti-interference and robustness.
{"title":"Comparative study of linear and nonlinear ADRC for an inverted pendulum","authors":"Zhang Bin-wen, T. Wen, Li Jian","doi":"10.1109/CCDC.2017.7978463","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978463","url":null,"abstract":"This paper applies ADRC algorithm to the inverted pendulum stabilization problem. Since the extended state observer and control law can be nonlinear or linear, different combinations are designed to balance the pendulum's angle. It also offers a practical solution that the nonlinear parameters are tuned as the linear ones. The output response speed and control variable are compromised to determine the preferable structure. Simulations showed that ADRC has good performance on stability, anti-interference and robustness.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"11 1","pages":"704-708"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89049390","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978056
Zhang Yong, Liu Xuqiang
The flotation process is a complicated multi-input and multi-output process with the characteristic of strong non-linearity, heavy coupling and large delay. Due to the difficulty of measuring the concentrate grade and tailing grade index online, and its dynamics varying with the process conditions, such a control objective by far is difficult to achieve by the existing control methods to control the product quality indices into their technical targeted ranges and even cause fault work-condition. This paper presents a clustering algorithm based on punishing constraint of swarm intelligence (PCSI). Directed by the nature of PSO, PCSI could randomly search the centers of clusters and obtain the number of clusters. The process prior knowledge and PCA method are used to reduce dimension of the input data and select auxiliary variables. And then a new hybrid recursive algorithm of RBFNN based on simplified rival penalized competitive learning method (SRPCL) to make an adaptive clustering is developed. The method proposed has successfully been applied to two production lines of a mineral processing plant of Anshan Iron and Steel Group Corporation, and its effectiveness is proved evidently.
{"title":"Study on the application of a new prediction model based on penalty constraint to flotation process","authors":"Zhang Yong, Liu Xuqiang","doi":"10.1109/CCDC.2017.7978056","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978056","url":null,"abstract":"The flotation process is a complicated multi-input and multi-output process with the characteristic of strong non-linearity, heavy coupling and large delay. Due to the difficulty of measuring the concentrate grade and tailing grade index online, and its dynamics varying with the process conditions, such a control objective by far is difficult to achieve by the existing control methods to control the product quality indices into their technical targeted ranges and even cause fault work-condition. This paper presents a clustering algorithm based on punishing constraint of swarm intelligence (PCSI). Directed by the nature of PSO, PCSI could randomly search the centers of clusters and obtain the number of clusters. The process prior knowledge and PCA method are used to reduce dimension of the input data and select auxiliary variables. And then a new hybrid recursive algorithm of RBFNN based on simplified rival penalized competitive learning method (SRPCL) to make an adaptive clustering is developed. The method proposed has successfully been applied to two production lines of a mineral processing plant of Anshan Iron and Steel Group Corporation, and its effectiveness is proved evidently.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"50 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80260428","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978879
Donghai Bao, Fang Yang, Qianru Jiang, Sheng Li, Xiongxiong He
Block recursive least square (BRLS) algorithm for dictionary learning in compressed sensing system is developed for surveillance video processing. The new method uses image blocks directly and iteratively to train dictionaries via BRLS algorithm, which is different from classical methods that require to transform blocks to columns first and then giving all training blocks at one time. Since the background in surveillance video is almost fixed, the residual of foreground can be represented sparsely and reconstructed with background subtraction directly. The new method and framework are applied in real image and surveillance video processing. Simulation results show that the new method achieves better representation performance than classical ones in both image and surveillance video.
{"title":"Block RLS algorithm for surveillance video processing based on image sparse representation","authors":"Donghai Bao, Fang Yang, Qianru Jiang, Sheng Li, Xiongxiong He","doi":"10.1109/CCDC.2017.7978879","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978879","url":null,"abstract":"Block recursive least square (BRLS) algorithm for dictionary learning in compressed sensing system is developed for surveillance video processing. The new method uses image blocks directly and iteratively to train dictionaries via BRLS algorithm, which is different from classical methods that require to transform blocks to columns first and then giving all training blocks at one time. Since the background in surveillance video is almost fixed, the residual of foreground can be represented sparsely and reconstructed with background subtraction directly. The new method and framework are applied in real image and surveillance video processing. Simulation results show that the new method achieves better representation performance than classical ones in both image and surveillance video.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"10 1","pages":"2195-2200"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81052210","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 : 2017-05-28DOI: 10.1109/CCDC.2017.7978077
Yuhang Lei, Gangquan Si, Lijie Diao, Jianwei Zhu
Modeling and analyzing electrical energy storage devices appears crucial for recently research in engineering study. This paper researches the power and impedance of fractional-order electric circuit models: super-capacitors and batteries. For super-capacitors and batteries models, the fractional order α plays an essential role in the power and energy obtained. An interesting phenomena found out is that the fractional-order super-capacitor (0 < α < 1) can gain more energy than the normal one (α = 1). The reactive power of the battery model is analyzed versus different order α, which decreasing with α when 0 < α < 0.29 and increasing with α when 0.29 < α < 1. Apart from it, the impedance Z(jω, α) of the two models are given in the paper.
{"title":"Characteristic analysis of fractional-order super-capacitors and batteries","authors":"Yuhang Lei, Gangquan Si, Lijie Diao, Jianwei Zhu","doi":"10.1109/CCDC.2017.7978077","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978077","url":null,"abstract":"Modeling and analyzing electrical energy storage devices appears crucial for recently research in engineering study. This paper researches the power and impedance of fractional-order electric circuit models: super-capacitors and batteries. For super-capacitors and batteries models, the fractional order α plays an essential role in the power and energy obtained. An interesting phenomena found out is that the fractional-order super-capacitor (0 < α < 1) can gain more energy than the normal one (α = 1). The reactive power of the battery model is analyzed versus different order α, which decreasing with α when 0 < α < 0.29 and increasing with α when 0.29 < α < 1. Apart from it, the impedance Z(jω, α) of the two models are given in the paper.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"6 1","pages":"117-122"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81705535","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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