Conference Program of WCICA 2012

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Conference Program WCICA 2012 complex multivariable input and output system into several independent single input single output pseudo-linear sub-systems. In order to make it have better robustness, with single neuron adaptive PID as subsystem additional linear controller to constitute a closed-loop system. The characteristics of combustion system of circulating fluidized bed boilers also are analyzed and control system based on presented methods is presented. The simulation results demonstrated that the presented method could achieve accurate decoupling control with robustness. ◁ PFrB-55 Research on Control Method Combined with Load Coordinate for Dry Desulfurization of Slurry Fluidized Bed Boiler, pp.3407–3411 Jiang, Aipeng Ding, Qiang Lin, Weiwei Hangzhou Dianzi Univ. Hangzhou Dianzi Univ. Hangzhou Dianzi Univ. It is the most effective resource use practices for slurry and slime to be used as fuel for Fluidized bed boiler. The dry desulfurization of sludge Fluidized bed boiler is a large time delay system, and load disturbance of this system changes frequently. In order to achieve stable control of SO2 emission, and meet environmental requirements, a fuzzy control technology combined with the optimal feed-forward was designed. Combined with field experience, fuzzy controller was designed by fuzzy control technology, and then the integral process was added to achieve non-error track. Based on the objective to minimize disturbance impact, and in order to coordinate the desulfurization control and steam load control, a nonlinear programming problem for solving the optimal feed-forward parameters was established, from which the most excellent feed-forward form can be obtained. Results of 440T/H fluidized bed boiler show that the proposed method has satisfactory control effect. SO2 concentration can fully meet environmental emissions requirements, and its fluctuation is relatively small. ◁ PFrB-56 Research on combustion control and heat efficiency’s online computing of slime fluidized bed boiler, pp.3412–3416 Jiang, Aipeng Lin, Weiwei Ding, Qiang Hangzhou Dianzi Univ. Hangzhou Dianzi Univ. Hangzhou Dianzi Univ. With the requirements for promoting the energy saving and environmental protection, it is the main trend for fluidized bed boiler to realize combustion control and online computing of heat efficiency. In order to achieve combustion automatic control of fluidized bed boilers, and improve self-control rates and on-line monitoring of boilers’ heat efficiency. In this study, the combustion control scheme was firstly designed for a 75 tons fluidized bed boiler. the automatic contorl for feed water, superheated steam temperature, superheated steam pressure and oxygen were realized in the DCS system. Then the overall automatic control of combustion was achieved with advanced control technology. Next, based on the presented work, on line calculation of heat efficency was realzied, witch which various parts of heat losses and total heat efficiency can be real-time monitored to guide the optimal operation of the boiler.It is very important for energy saving and power management requirements. ◁ PFrB-57 Simulation Experiment Platform for Optimal Control of the Raw Slurry Blending Process in the Alumina Production, pp.3443–3447 Guo, Wanli School of Electrical Engineering, Liaoning Univ. of Tech. Bai, Rui Liaoning Univ. of Tech. Raw slurry blending process is the important process in the alumina production. This process has the complicated characteristics such as the fluctuation of chemical content of the raw materials, variation of the working station, and uncertainty. It is difficult to use the conventional control strategy to realize the optimization control for the raw s- lurry blending processes. Lots of experiments and simulations for the advanced and complicated optimal control must be implemented before they are utilized in the industrial process. In order to provide a appropriate research platform for the optimal control of the raw slurry blending process, a hardware-in-the-loop simulation platform is proposed with the view of industry. The proposed hardware-in-the-loop simulation platform is different to the conventional simulation software, which is composed of the optimal model computer, virtual equipment of the actuator and sensor, Rockwell PLC. All the signals in this platform are the standard industry signals. The proposed platform can be use as an effective platform for the research of the modeling, control and optimization of the raw slurry blending process. ◁ PFrB-58 Shielding Properties Analysis of underground Methane Sensor based on Finite Element Simulation and Electromagnetic Measurement, pp.3448–3453 Ma, Fengying Ma, Fengying Shandong Inst. of Light Industry Shandong Polytechnic Univ. In order to clear up false alarms, issued by underground methane sensors, caused by Electromagnetic Interference (EMI), a novel field way was brought forward in which the simulation and radiated emission measurement were adopted to accomplish the analysis of shielding property about methane sensor. The data was acquired through the R&S spectrum analyzer FSP7. With analyzing the influence of cable aperture on enclosure shielding properties through simulation and measurement, the optimization of explosion-proof enclosure was finished according to the distribution of radiated interference characteristics and simulation of the trumpet structure shield performance. As a result, with the optimization of explosion-proof enclosure, the false alarms of methane sensor significantly reduced; however, there were still occasionally false alarms when nearby electrical equipments were switched on and off. Therefore the complex EMI filter was put forward at power ports and the EMI was controlled within the allowable range. The running results demonstrated that the problem of false alarms had been resolved successfully. It is concluded that the improved shielding and filtering are highly significant in enhancing the Electromagnetic Compatibility (EMC) of the methane sensor. ◁ PFrB-59 Social Learning with Bounded Confidence, pp.3485–3490 Liu, Qipeng Wang, Xiaofan Shanghai Jiao Tong Univ. Shanghai Jiaotong Univ. Motivated by the homophily principle in social networks, this paper investigates a social learning model with bounded confidence, in which two individuals are neighbors only if the difference of their beliefs is not larger than a constant called bound of confidence. Each individual updates her belief through Bayesian inference based on her private signal plus consensus algorithm based on the beliefs of her neighbors. We find that the whole group can learning the true state only if the bound of confidence is larger than a positive threshold, which implies that people should try to communicate with others whose beliefs are quite different with themselves, in addition to those similar to themselves. Furthermore, we introduce a neighborhood-preserved strategy to guarantee that once two individuals are neighbors they will be neighbors forever. We show that social learning in the revised model can be realized with much smaller threshold, and therefore, provide an effective mechanism for social learning. ◁ PFrB-60 The Network Structure of Optimal Synchronizability for Bounded Regions Case, pp.3497–3502 Wang, Lifu Liu, Yunjing Wu, Zhaoxia Kong, Zhi Wang, Xingang Northeastern Univ. North-east Univ. at Qinhuangdao Northeastern Univ. At Qinhuangdao Northeastern Univ. At Qinhuangdao Northeastern Univ. To study the network sturcture of optimal synchronizability with given node and edge number, we use simple graph to analyze the topology structure of the optimal synchronizability network. Then, the optimal network characteristic of N node N-1 edges, N edges, or N+1 edges 130
WCICA 2012 Book of Abstracts: Friday Sessions are founded. Espectively, An approach to construct the optimal synchronizability network with N nodes and N+1 edges is presented for given node and edge number. And, it is found that the class optimal synchronizability network structure with three chains. Every chain size is as same as possible, that is, maximum and minimum chain the difference between the number of nodes is less than or equal to 1. Moreover, the difference between maximum degree and minimum degree is less than or equal to 1 in the network with N+1 edges. Then, an example is given to illustration the process of construction optimal network with N node and N+1 edges. At last, we discuss on the optimal network with N node and N+2 edges. ◁ PFrB-61 Impact of Evacuee Behavior on Evacuation Clearance Time, pp.3520– 3525 Lv, Yisheng Zhu, Fenghua XIONG, Gang Yao, Qingming Chen, Songhang Ye, Peijun Institue of Automation, Chinese Acad. of Sci. Inst. of Automation, Chinese Acad. of Sci. Inst. of Automation,Chinese Acad. of Sci. Institue of Automation, Chinese Acad. of Sci. Inst. of Automation,Chinese Acad. of Sci. Chinese Acad. of Sci. Evacuation is an effective strategy to mitigate damage of man-made or natural disasters. Evacuation clearance time is one of the key indicators in evacuation planning and management. Evacuees’destination choice and route choice behavior are two crucial factors used to estimate evacuation clearance time. However, these two factors are viewed as constants in previous research, and the quantification of the impact of these two factors is lacking. In this paper, the authors report impact of variation of evacuees’destination choice and route choice behavior on evacuation clearance time. The impact analysis is done based on a case study by using an artificial transportation system platform called TransWorld. And the best values of evacuees’destination choice and route choice behavior are given, respectively. The computational experimental results illustrate that if evacuation managers adopt reasonable strategies to guide evacuees’destination choice and route choice, it can significantly reduce evacuation clearance time. The simulation methodology, computational results and discussion can be used for future emergency evacuation planning. This study also provides potentials of new emergency evacuation management and control strategies from the perspective of evacuee behavior. ◁ PFrB-62 Sensitivity Analysis in Equilibrium Property of Photosynthetic Carbon Metabolism, pp.3549–3554 Xia, Chao Guo, Jin Zhao, Yanlong Lin, Zhiwei Beijing Inst. of Tech. Chinese Acad. of Sci. Chinese Acad. of Sci. Beijing Inst. of Tech. Equilibrium property of the photosynthetic carbon metabolic network plays an important role on how to improve photosynthesis. In this paper, with respect to the independent subsystem of the photosynthetic carbon metabolic network, the one-at-a-time sensitivity measure is used to analyze sensitivity in whether or not it has multiple equilibria. Finally, we can get the maximum field of the two most sensitive parameters under the condition that the subsystem has only one equilibrium. ◁ PFrB-63 Mobile Robot Active Observation and Mapping Based on Factored Method, pp.3577–3582 Yuan, Jing Huang, Yalou Sun, Fengchi Huang, Shuzi Chen, Huan Nankai Univ. Nankai Univ. Nankai Nankai Univ. Nankai Univ. This paper investigates the active observation and mapping of the mobile robot in SLAM problem. Firstly, based on factored solution to the simultaneous localization and mapping (FastSLAM), we apply the approximately optimal particle filter in the sense of statistics, as well as the unscented Kalman filter (UKF) to estimate the configuration of the robot and the position of the landmarks respectively. Then, by choosing the accuracy of SLAM and the environmental information as the optimization function, we convert the active observation and mapping into a problem of the optimal control for the mobile robot. By solving this optimal control, the robot can use the active control inputs to explore the environment and observe the landmarks adaptively and effectively. Finally, simulation results are presented to show the effectiveness of our approach. ◁ PFrB-64 A Method of Map Building for Robots in Unknown Indoor Environments, pp.3642–3647 Liu, Shuhua Northeast Normal Univ. A new method of map building is presented for mobile robots in unknown indoor environments. It combined Internal Spiral Coverage (IS- C) algorithm, A* algorithm and wildfire algorithm to build the map in unknown indoor environments. The rasterization of sensor detection zone can improve the accuracy of map building which is affected by the error of the sensor data. Once an obstacle is explored, the robot will immediately go around it to identify. Simulation results show that the proposed method of map building is very effective in different indoor environments. ◁ PFrB-65 Research on Robot Motion Control Based on Local Weighted kNN-TD Reinforcement Learning, pp.3648–3651 Han, Fei College of Information Engineering, Yangzhou Univ. Jin, Lu Yang, Yuequan Cao, Zhiqiang Zhang, Tianping College of Information Engineering, Yangzhou Univ. Yangzhou Univ., China Inst. of Automation,Chinese Acad. of Sci. Yangzhou Univ. Learning is an important capability for an individual robot, which provides an effective way for understanding, planning, and decisionmaking in a complex environment. For robot motion control, a local weighted k-nearest neighbors states selection method based on environment information and task information is presented. Based on this method, TD reinforcement learning algorithm is combined to reduce the misclassified probability of kNN-TD method, which is finally verified by the simulations. ◁ PFrB-66 An Algorithm for Sub-optimal Attribute Reduction in Decision Table Based on Neighborhood Rough Set Model, pp.685–690 Liu, Zunren Wu, Gengfeng Yu, Zhongqing Shanghai Univ.; Qingdao Univ. Shanghai Univ. qingdao Univ. In this paper, some concepts of upper approximation and lower approximation and so on are defined concisely and strictly on neighborhood rough set model.According to the fruit fly optimization algorithm’s idea, an new algorithm (NBH SFR) to get a sub-optimal attribute reduction on neighborhood decision table is proposed.The validity and feasibility of the algorithm are demonstrated by the results of experiments on four UCI Machine Learning database.A detailed analysis of delta operator to influence on the results is given. And the delta operator formula to obtain a sub-optimal reduction is proposed.Moreover,the experiments also show that it is impossible to solve multi-dimensional big dataset based on kernel-based heuristic algorithm ideas. ◁ PFrB-67 Traffic Signal Timing and Phase Optimization for Intersection Based on IPSO, pp.711–714 JIN, Chengjun Northeastern Univ. Urban area traffic signal control is a complicated issue. Based on the characteristics of vehicle delay, this paper proposes a method for signal timing and phase optimization. Particle swarm optimization (PSO) 131
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WCICA 2012 The 10 th World Congress
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