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Conference Program of WCICA 2012

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<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

complex multivariable input and output system into several independent<br />

single input single output pseudo-linear sub-systems. In order to make<br />

it have better robustness, with single neuron adaptive PID as subsystem<br />

additional linear controller to constitute a closed-loop system. The<br />

characteristics <strong>of</strong> combustion system <strong>of</strong> circulating fluidized bed boilers<br />

also are analyzed and control system based on presented methods<br />

is presented. The simulation results demonstrated that the presented<br />

method could achieve accurate decoupling control with robustness.<br />

◁ PFrB-55<br />

Research on Control Method Combined with Load Coordinate for Dry<br />

Desulfurization <strong>of</strong> Slurry Fluidized Bed Boiler, pp.3407–3411<br />

Jiang, Aipeng<br />

Ding, Qiang<br />

Lin, Weiwei<br />

Hangzhou Dianzi Univ.<br />

Hangzhou Dianzi Univ.<br />

Hangzhou Dianzi Univ.<br />

It is the most effective resource use practices for slurry and slime to be<br />

used as fuel for Fluidized bed boiler. The dry desulfurization <strong>of</strong> sludge<br />

Fluidized bed boiler is a large time delay system, and load disturbance<br />

<strong>of</strong> this system changes frequently. In order to achieve stable control<br />

<strong>of</strong> SO2 emission, and meet environmental requirements, a fuzzy control<br />

technology combined with the optimal feed-forward was designed.<br />

Combined with field experience, fuzzy controller was designed by fuzzy<br />

control technology, and then the integral process was added to achieve<br />

non-error track. Based on the objective to minimize disturbance impact,<br />

and in order to coordinate the desulfurization control and steam<br />

load control, a nonlinear programming problem for solving the optimal<br />

feed-forward parameters was established, from which the most excellent<br />

feed-forward form can be obtained. Results <strong>of</strong> 440T/H fluidized<br />

bed boiler show that the proposed method has satisfactory control effect.<br />

SO2 concentration can fully meet environmental emissions requirements,<br />

and its fluctuation is relatively small.<br />

◁ PFrB-56<br />

Research on combustion control and heat efficiency’s online computing<br />

<strong>of</strong> slime fluidized bed boiler, pp.3412–3416<br />

Jiang, Aipeng<br />

Lin, Weiwei<br />

Ding, Qiang<br />

Hangzhou Dianzi Univ.<br />

Hangzhou Dianzi Univ.<br />

Hangzhou Dianzi Univ.<br />

With the requirements for promoting the energy saving and environmental<br />

protection, it is the main trend for fluidized bed boiler to realize<br />

combustion control and online computing <strong>of</strong> heat efficiency. In order to<br />

achieve combustion automatic control <strong>of</strong> fluidized bed boilers, and improve<br />

self-control rates and on-line monitoring <strong>of</strong> boilers’ heat efficiency.<br />

In this study, the combustion control scheme was firstly designed for a<br />

75 tons fluidized bed boiler. the automatic contorl for feed water, superheated<br />

steam temperature, superheated steam pressure and oxygen<br />

were realized in the DCS system. Then the overall automatic control<br />

<strong>of</strong> combustion was achieved with advanced control technology. Next,<br />

based on the presented work, on line calculation <strong>of</strong> heat efficency<br />

was realzied, witch which various parts <strong>of</strong> heat losses and total heat<br />

efficiency can be real-time monitored to guide the optimal operation <strong>of</strong><br />

the boiler.It is very important for energy saving and power management<br />

requirements.<br />

◁ PFrB-57<br />

Simulation Experiment Platform for Optimal Control <strong>of</strong> the Raw Slurry<br />

Blending Process in the Alumina Production, pp.3443–3447<br />

Guo, Wanli School <strong>of</strong> Electrical Engineering, Liaoning Univ. <strong>of</strong><br />

Tech.<br />

Bai, Rui<br />

Liaoning Univ. <strong>of</strong> Tech.<br />

Raw slurry blending process is the important process in the alumina<br />

production. This process has the complicated characteristics such as<br />

the fluctuation <strong>of</strong> chemical content <strong>of</strong> the raw materials, variation <strong>of</strong><br />

the working station, and uncertainty. It is difficult to use the conventional<br />

control strategy to realize the optimization control for the raw s-<br />

lurry blending processes. Lots <strong>of</strong> experiments and simulations for the<br />

advanced and complicated optimal control must be implemented before<br />

they are utilized in the industrial process. In order to provide a<br />

appropriate research platform for the optimal control <strong>of</strong> the raw slurry<br />

blending process, a hardware-in-the-loop simulation platform is proposed<br />

with the view <strong>of</strong> industry. The proposed hardware-in-the-loop<br />

simulation platform is different to the conventional simulation s<strong>of</strong>tware,<br />

which is composed <strong>of</strong> the optimal model computer, virtual equipment <strong>of</strong><br />

the actuator and sensor, Rockwell PLC. All the signals in this platform<br />

are the standard industry signals. The proposed platform can be use<br />

as an effective platform for the research <strong>of</strong> the modeling, control and<br />

optimization <strong>of</strong> the raw slurry blending process.<br />

◁ PFrB-58<br />

Shielding Properties Analysis <strong>of</strong> underground Methane Sensor based<br />

on Finite Element Simulation and Electromagnetic Measurement,<br />

pp.3448–3453<br />

Ma, Fengying<br />

Ma, Fengying<br />

Shandong Inst. <strong>of</strong> Light Industry<br />

Shandong Polytechnic Univ.<br />

In order to clear up false alarms, issued by underground methane<br />

sensors, caused by Electromagnetic Interference (EMI), a novel field<br />

way was brought forward in which the simulation and radiated emission<br />

measurement were adopted to accomplish the analysis <strong>of</strong> shielding<br />

property about methane sensor. The data was acquired through<br />

the R&S spectrum analyzer FSP7. With analyzing the influence <strong>of</strong> cable<br />

aperture on enclosure shielding properties through simulation and<br />

measurement, the optimization <strong>of</strong> explosion-pro<strong>of</strong> enclosure was finished<br />

according to the distribution <strong>of</strong> radiated interference characteristics<br />

and simulation <strong>of</strong> the trumpet structure shield performance. As<br />

a result, with the optimization <strong>of</strong> explosion-pro<strong>of</strong> enclosure, the false<br />

alarms <strong>of</strong> methane sensor significantly reduced; however, there were<br />

still occasionally false alarms when nearby electrical equipments were<br />

switched on and <strong>of</strong>f. Therefore the complex EMI filter was put forward<br />

at power ports and the EMI was controlled within the allowable range.<br />

The running results demonstrated that the problem <strong>of</strong> false alarms had<br />

been resolved successfully. It is concluded that the improved shielding<br />

and filtering are highly significant in enhancing the Electromagnetic<br />

Compatibility (EMC) <strong>of</strong> the methane sensor.<br />

◁ PFrB-59<br />

Social Learning with Bounded Confidence, pp.3485–3490<br />

Liu, Qipeng<br />

Wang, Xia<strong>of</strong>an<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiaotong Univ.<br />

Motivated by the homophily principle in social networks, this paper investigates<br />

a social learning model with bounded confidence, in which<br />

two individuals are neighbors only if the difference <strong>of</strong> their beliefs is not<br />

larger than a constant called bound <strong>of</strong> confidence. Each individual updates<br />

her belief through Bayesian inference based on her private signal<br />

plus consensus algorithm based on the beliefs <strong>of</strong> her neighbors. We<br />

find that the whole group can learning the true state only if the bound <strong>of</strong><br />

confidence is larger than a positive threshold, which implies that people<br />

should try to communicate with others whose beliefs are quite different<br />

with themselves, in addition to those similar to themselves. Furthermore,<br />

we introduce a neighborhood-preserved strategy to guarantee<br />

that once two individuals are neighbors they will be neighbors forever.<br />

We show that social learning in the revised model can be realized with<br />

much smaller threshold, and therefore, provide an effective mechanism<br />

for social learning.<br />

◁ PFrB-60<br />

The Network Structure <strong>of</strong> Optimal Synchronizability for Bounded Regions<br />

Case, pp.3497–3502<br />

Wang, Lifu<br />

Liu, Yunjing<br />

Wu, Zhaoxia<br />

Kong, Zhi<br />

Wang, Xingang<br />

Northeastern Univ.<br />

North-east Univ. at Qinhuangdao<br />

Northeastern Univ. At Qinhuangdao<br />

Northeastern Univ. At Qinhuangdao<br />

Northeastern Univ.<br />

To study the network sturcture <strong>of</strong> optimal synchronizability with given<br />

node and edge number, we use simple graph to analyze the topology<br />

structure <strong>of</strong> the optimal synchronizability network. Then, the optimal<br />

network characteristic <strong>of</strong> N node N-1 edges, N edges, or N+1 edges<br />

130

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