{"title":"Modeling research on ground-coupled heat pump system based on artificial neural network","authors":"Yating Zhang, Weichang Jiang, Ruihua Wang","doi":"10.1109/CCDC.2014.6852559","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852559","url":null,"abstract":"As a new technology of renewable energy, ground-coupled heat pump system has been rising in our country in recently years. However because of the nonlinear and high degree of coupling, it is not clear to find out the relationship between control variables and total energy consumption of the system. This paper proposes a modeling way for ground-coupled heat pump system that uses artificial neural network, it builds the relationship between control variables and total energy consumption of the system directly. Through the comparison we can find a better way for building the Ground-coupled heat pump System.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131846602","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}
{"title":"Implementation of path planning method of intelligent vehicle based on MapX","authors":"Jianmin Duan, Huiqin Ge, Junqin Yao","doi":"10.1109/CCDC.2014.6853017","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6853017","url":null,"abstract":"This paper introduces the implementation process of intelligent vehicle path planning, including the establishment of environmental models, path search algorithm, as well as the visualization of digital map. Firstly, the article introduces the path planning and several algorithms; secondly, the A * algorithm is described, as well as the representation of environment model; thirdly, the article introduces the MapX component and gives the implementation steps of visualization based on MapX; finally, the experiment results are presented, the experimental results show that the A * algorithm could easily find the optimal path, reduce the searching space of the algorithm and make the planning result more reasonable. Besides, the digital map based on MapX could perfectly display vehicle location and the planned route in real time.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"23 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132643829","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}
{"title":"A discrete model reference sliding mode controller with a disturbance compensator and its application to flight simulator","authors":"C. Chao, Wei-hong Wang, Wu-long Zhang","doi":"10.1109/CCDC.2014.6852772","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852772","url":null,"abstract":"As for parameters fluctuating, uncertainties caused by external disturbance and friction, the nonlinearity of the flight simulator turntable servo system, a discrete model reference sliding mode control theme combining with adaptive method and decoupled disturbance compensator is presented, and the globally asymptotically stability of the system is proved. The simulation results verified that the proposed control method can restrain the uncertainties and external disturbance of the flight simulator servo system efficiently assuring the dynamic tracking performance and strong robustness at a long range frequency.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128929208","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}
Wu Dinghui, Li Yiyang, J. Zhicheng, Shen Yanxia, Pan Ting-long
{"title":"Self-adaptive PID optimal control of wind energy conversion system","authors":"Wu Dinghui, Li Yiyang, J. Zhicheng, Shen Yanxia, Pan Ting-long","doi":"10.1109/CCDC.2014.6852109","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852109","url":null,"abstract":"Based on the characteristic of uncertainty and multi-disturbance of variable-speed of SGIG for wind power generation system, a self-adaptive PID controller was proposed for harvesting the maximum power from wind. Self-adaptive parameters self-turning control and vector control were used via mathematical model of SCIG-wind energy generator system. The controller was designed in Matlab and dSPACE respectively. The simulation and experimental results showed that the self-adaptive PID controller proposed had faster response speed and better anti-interference capability than the classic PID, and the efficiency and quality of wind energy conversion system were also improved.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126587124","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}
{"title":"The overview for UAV Air-Combat Decision method","authors":"Li Fu, Fuhuai Xie, Dongzheng Wang, Guanglei Meng","doi":"10.1109/CCDC.2014.6852760","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852760","url":null,"abstract":"With the rapid development of intelligent technology, sensing technology, digital communication technology and virtual reality technology etc, the research for air-combat UAV ushered in a rare opportunity. The UAV Air-Combat Decision problem has become one of the research focuses of the military field in the world. Firstly, this paper analyzes the specific process of the UAV Air-Combat Decision and divides it into four decision-making phases. Secondly, the paper introduces the research status and the decision-making methods of the various phases, to further analyze the UAV Air-Combat Decisions. Finally, the paper analyzes in detail the difficulties and the research trends of the UAV Air-Combat Decision in the future.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030644","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}
{"title":"Model predictive contouring control for direct drive XY table","authors":"Zheng Hao, Wang Limei","doi":"10.1109/CCDC.2014.6852769","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852769","url":null,"abstract":"Contouring control can provide precision machine tool control an effective method, and many methods have been proposed to date. Direct drive of linear motor is the inevitable demand and trends for improving CNC processing speed and precision. XY table contouring systems involve competing control objective of maximizing accuracy while minimizing traversal time. To meet high-speed, high precision and complex contour machining requirement, a model predictive controller is presented. The new controller is successfully implemented in real time on an XY table, and can meet the requirement of high precision control. simulation results show the contouring control method gets a performance improvement.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131043037","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}
G. Hou, Pengcheng Jiang, Xiaobin Zheng, Jian-hang Zhang
{"title":"Modeling and simulation for boiler combustion control system of 1000MW ultra-supercritical unit","authors":"G. Hou, Pengcheng Jiang, Xiaobin Zheng, Jian-hang Zhang","doi":"10.1109/CCDC.2014.6852888","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852888","url":null,"abstract":"Taking the 1000MW ultra-supercritical once-through boiler as a research object, the combustion process of boiler is analyzed through principles of energy transferring, heat exchange, and mass flow balances. Since the complete and accurate model of boiler combustion is the basis of performance study and optimizing control, a mechanism mathematical model of boiler combustion control system is built up in this paper. It is the first time that boiler combustion control system has successfully covered the coal mill pulverizing system, and this model consists of the other three controlled variables subsystems: main steam pressure control system, furnace pressure control system and flue gas oxygen content control system. Furthermore, this paper gives the simulation of the mechanism mathematical model and analyzes the response curves of the outputs after giving each input a step disturbance respectively at two different load conditions. The results of the simulation show that the mathematical model is reasonable and effective.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133368296","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}
{"title":"Improved differential evolution algorithm and its application in complex function optimization","authors":"Xiaogang Dong, Yan Liu, Changshou Deng","doi":"10.1109/CCDC.2014.6852822","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852822","url":null,"abstract":"When solving complex function optimization problem, Differential evolution(DE) algorithms may suffer from low convergence rate. In this paper, we propose an improved differential evolution algorithm named n-IDE. Our algorithm uses Gaussian sequence to dynamically generate zoom factors and applies an improved hybrid mutation strategy to individuals in order to improve the overall performance. We compare n-IDE with existing DE approaches using benchmark functions and the experimental result shows that n-IDE has significant improvement on the convergence rate.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133390144","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}
{"title":"Optimal formation of robots by the continuous-discrete PSO algorithm in three dimensional space","authors":"Jun Liu, Hongbin Ma, T. Shi, Ping Li","doi":"10.1109/CCDC.2014.6853114","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6853114","url":null,"abstract":"This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular constraints, it is shown that the center of the desired shape is determined and equal to the center of the initial shape by utilizing the Lagrangian method. From the perspective of efficiency, the main task of the continuous-discrete PSO algorithm, short for CDPSO, is to search for some key parameters and to minimize the distance of all robots from the initial shape to the desired shape. To demonstrate the effectiveness of the new CDPSO algorithm, numerical results chiefly concentrate on the optimal helicopters formation from the initial shape to the desired shape in the three dimensional space and the typical shape conversion from the two-dimensional space to the three-dimensional space.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133548747","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}
{"title":"The fault diagnosis research for the underwater vehicle system based on SOFCMAC","authors":"Tingting Zhu, Daqi Zhu","doi":"10.1109/CCDC.2014.6852384","DOIUrl":"https://doi.org/10.1109/CCDC.2014.6852384","url":null,"abstract":"For the fault diagnosis problems of the underwater vehicle sensor systems, the solution is combined by the Principal Component Analysis (PCA) and Self-Organizing Fuzzy Cerebellar Model Articulation Controller (SOFCMAC). The signal prediction model approach based on PCA and SOFCMAC is proposed in this paper. According to the history data, it can predict the signal data in the future time using the SOFCMAC method. And the statistic, Squared Prediction Error (SPE), is introduced into the approach. According to the change of the SPE value, this model can judge whether the underwater system fault occurs. Then the linear variable reconstruction method is used to isolate the fault. The water tank experimental results show that the proposed approach is capable of detecting and isolating the fault in the vehicle sensor systems efficiently and accurately.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132773621","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}