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2010 Chinese Control and Decision Conference最新文献

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Research on efficiency optimization of interior permanent magnet synchronous motor based on intelligent integrated control 基于智能集成控制的内置式永磁同步电机效率优化研究
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498664
Sheng Yifa, Shou-yi Yu, Zhou Wen-zhen
{"title":"Research on efficiency optimization of interior permanent magnet synchronous motor based on intelligent integrated control","authors":"Sheng Yifa, Shou-yi Yu, Zhou Wen-zhen","doi":"10.1109/CCDC.2010.5498664","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498664","url":null,"abstract":"To improve the steady state efficiency of interior permanent magnet synchronous motor system(IPMSM), the intelligent integrated online optimal control strategy of IPMSM efficiency optimization was presented. The intelligent integrated control technology and torque compensation method were combined to the system. The method of adaptive fuzzy logic to adjust direct-axis current was adopted in the first half search, using the adaptive step size to reduce the torque fluctuations. The golden section search method was adopted in the next half search to speed up the search process and improve its convergence. While in the whole process, the torque correction program was introduced to compensate the torque current in real-time and resolve the torque pulsation problem in the regulation process of the excitation current. The dynamic and static performances of the system are improved. A 100kW IPMSM efficiency optimization intelligent integrated control system was implemented using a TMS320LF2407A DSP. Experimental results prove the validity of the proposed strategy.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115600541","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}
引用次数: 9
A class of integrable riccati equations and applications to optimal control 一类可积riccati方程及其在最优控制中的应用
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498520
Yanxia Hu
{"title":"A class of integrable riccati equations and applications to optimal control","authors":"Yanxia Hu","doi":"10.1109/CCDC.2010.5498520","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498520","url":null,"abstract":"In this paper, based on the theory of Lie group and the Hamilton-Jacobi Theorem, the solution of the secondorder linear homogeneous equations which can be obtained from a class of Riccati equations by transformation are considered. By solving the corresponding Hamilton-Jacobi equations, a class of integrable Riccati differential equations is obtained. Finally, the classical optimal control problem with finite time be considered, and a class of systems for the optimal control problem is solved by using the proposed method to solving the corresponding Riccati equations.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124357091","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}
引用次数: 0
Robust control for the uncertain nonliner systems 不确定非线性系统的鲁棒控制
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498772
Qian Gao, Naibao He, Chao Xu
{"title":"Robust control for the uncertain nonliner systems","authors":"Qian Gao, Naibao He, Chao Xu","doi":"10.1109/CCDC.2010.5498772","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498772","url":null,"abstract":"This paper considers control design using an adaptive backstepping algorithm for a class of nonlinear continuous uncertain processes with disturbances. This approach needs only a transformation to realize. Combining the backstepping method with robust control technology, an adaptive parameter control law is developed and thus the output tracking is successfully accomplished for the system with unknown parameters and dynamic uncertainties. It is proved that the derived robust adaptive controller based on Lyapunov stability theory can guarantee that all states of the closed-loop system are globally uniformly?? ultimately bounded.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114364167","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}
引用次数: 0
Modeling of a circulating fluidized bed for flue gas desulfurization process 烟气脱硫循环流化床的建模
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498781
Liting Fan, Fuli Wang, Hongru Li, Dakuo He
{"title":"Modeling of a circulating fluidized bed for flue gas desulfurization process","authors":"Liting Fan, Fuli Wang, Hongru Li, Dakuo He","doi":"10.1109/CCDC.2010.5498781","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498781","url":null,"abstract":"A steady state model is proposed to predict the SO2 removal efficiency in the circulating fluidized bed for flue gas desulfurization process. With some reasonable assumptions, the steady state mathematical equations were derived and solved. A detailed analysis was conducted to investigate the influence of recycled particles on desulfurization efficiency. In addition, the conversions of both fresh and recycled sorbent are taken into account in this model. The simulation results indicate that high calcium to sulfur molar ratio, low approach to the adiabatic saturation temperature and large solid recirculation ratio increase the desulfurization efficiency, which is confirmed with the obtained experiment results, and the prediction efficiency is verified against the available data in literature.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114433887","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}
引用次数: 1
Design and implementation of rotary inverted pendulum motion control hardware-in-the-loop simulation platform 旋转倒立摆运动控制硬件在环仿真平台的设计与实现
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498818
Feng Pan, Dingyu Xue, Dali Chen, J. Cui
{"title":"Design and implementation of rotary inverted pendulum motion control hardware-in-the-loop simulation platform","authors":"Feng Pan, Dingyu Xue, Dali Chen, J. Cui","doi":"10.1109/CCDC.2010.5498818","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498818","url":null,"abstract":"Based on MATLAB/Simulink control system design and testing environment, the rotary inverted pendulum motion control hardware-in-the-loop simulation platform is designed and implemented by applying hardware-in-the-loop simulation technology. The system mathematical models of single and double inverted pendulums are obtained. The optimal control method is adopted to design the controller and the inverted pendulum is studied in the simulation system loop. We can observe the system dynamic performance in online by building up virtual instruments and verify the effectiveness of the control strategy. The results show that this system is the ideal platform to research and apply control theory.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114515469","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}
引用次数: 2
Optimal strategy for concurrent variable interval reinforcement schedule 并行变间隔强化调度的最优策略
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498938
Zhenbo Cheng, Ming Liang, Zhidong Deng
{"title":"Optimal strategy for concurrent variable interval reinforcement schedule","authors":"Zhenbo Cheng, Ming Liang, Zhidong Deng","doi":"10.1109/CCDC.2010.5498938","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498938","url":null,"abstract":"Herrnstein experimentally studied the choice behavior of pigeons on a special reinforcement schedule, the concurrent variable interval (CVI) schedule, and found a famous matching law. The empirical behavior law is remarkably conserved across many kinds of species, but it has been viewed as an irrational behavior, which means that the matching behavior does not maximize reward. In this paper, we succinctly demonstrate that any strategies leading to matching law can obtain maximal rewards for the CVI reinforcement schedule in discrete time steps. In addition, we put forward a novel strategy algorithm that can earn the maximal reward in the CVI reinforcement schedule. Our results reveal that the matching behavior can be seen as a rational behavior in the reinforcement schedule.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114873124","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}
引用次数: 0
Global path planning method of mobile robot in uncertain environment 不确定环境下移动机器人全局路径规划方法
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498378
Qian Zhang, Ming Li, X. Wang
{"title":"Global path planning method of mobile robot in uncertain environment","authors":"Qian Zhang, Ming Li, X. Wang","doi":"10.1109/CCDC.2010.5498378","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498378","url":null,"abstract":"Path planning is one of the key technologies in the robot research. The aim of it is to find the shortest safe path in the objective environments. Firstly, the robot is transformed into particle by expanding obstacles method; the obstacle is transformed into particle by multi-round enveloping method. Secondly, we make the Voronoi graph of the particles of obstacle and find the skeleton topology about the feasible path. Following, a new arithmetic named heuristic bidirectional ant colony algorithm is proposed by joining the merit of ant colony algorithm, Dijkstra algorithm and heuristic algorithm, with which we can find the shortest path of the skeleton topology. After transforming the path planning into n-dimensions quadrate feasible region by coordinate transformation and solving it with particle swarm optimization, the optimization of the path planning is acquired.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116170223","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}
引用次数: 8
Simulation of Random dynamic changes of soil organic matter based on fuzzy Markov chain model 基于模糊马尔可夫链模型的土壤有机质随机动态变化模拟
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498240
Panpan Gao, Zhihong Qie, Xiangbin Kong
{"title":"Simulation of Random dynamic changes of soil organic matter based on fuzzy Markov chain model","authors":"Panpan Gao, Zhihong Qie, Xiangbin Kong","doi":"10.1109/CCDC.2010.5498240","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498240","url":null,"abstract":"In response to the random change features of soil organic matter content and limited monitoring data in practice, a fuzzy Markov chain model is put forward in this paper to be used in simulating and forecasting the dynamic change of the region soil organic matter content. Firstly, the content of organic matter is divided into four levels by using grey clustering method in order to establish the grading model and fuzzy membership function of the sample classification which can make the change of organic matter state more smooth, continuous and reasonable; Secondly, in view of the limited monitoring data of soil nutrient, Marko transition matrix is simplified, and a new method based on Hybrid Particle Swarm Optimization (HPSO) is proposed to optimize the transition matrix; Finally, taking a county in Hebei province as the sample area, the simulation and forecast of dynamic change of soil organic matter are achieved. Analysis result shows that the simulation result suits well with the practical change trend.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116466626","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}
引用次数: 0
The application of Genetic Algorithm-Radial Basis Function (GA-RBF) Neural Network in stock forecasting 遗传算法-径向基函数(GA-RBF)神经网络在股票预测中的应用
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498491
Pengying Du, Xiaoping Luo, Zhiming He, Liang Xie
{"title":"The application of Genetic Algorithm-Radial Basis Function (GA-RBF) Neural Network in stock forecasting","authors":"Pengying Du, Xiaoping Luo, Zhiming He, Liang Xie","doi":"10.1109/CCDC.2010.5498491","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498491","url":null,"abstract":"According to the shortage that only historical data are made use of in the previous researches on stock forecast, a new idea of multi-input stock forecasting integrating various outer impact factors such as Dow Jones Index, Nikkei Index and Hang Seng Index etc. was presented. To avoid the local convergence of BP Neural Network, Radial Basis Function Neural Network (RBF) was selected and Genetic Algorithm (GA) was adopted for parameter optimization of RBF, and then forecasting was carried out by making use of the GA-RBF network obtained after optimization. This approach has good generalization capability and learning speed, which overcomes the shortages in BP network and solves the problem that a unified standard is lacked for RBF network parameter selection. The experiment results indicate that the approach of this paper can reflect the impact factors more complete and thus works better.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123593502","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}
引用次数: 6
Design of neural network controller for a class of nonlinear systems with input saturation 一类输入饱和非线性系统的神经网络控制器设计
2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI: 10.1109/CCDC.2010.5498546
Shurong Li, Bo Xu
{"title":"Design of neural network controller for a class of nonlinear systems with input saturation","authors":"Shurong Li, Bo Xu","doi":"10.1109/CCDC.2010.5498546","DOIUrl":"https://doi.org/10.1109/CCDC.2010.5498546","url":null,"abstract":"In actual systems, actuator saturation is a common phenomenon, which often severely restricts system dynamic performance and gives rise to instability. In order to reduce the effects of saturation, this paper presents an adaptive control method based on neural networks (NN) for a class of uncertain nonlinear systems with Brunovsky canonical form and input saturation. This controller is composed of a tracking controller and a saturation compensator. The saturation compensator is designed by RBF neural networks. The adaptation laws are derived in the sense of Lyapunov function and Barbalat's lemma. The closed-loop system is uniformly ultimately bounded, which is proved by Lyapunov theory. The simulation example is given to illustrate the effectiveness of this method.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122006543","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}
引用次数: 0
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