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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 />

controller and the controlled object are set in the different computers in<br />

the net and a simulation platform <strong>of</strong> networked control system based<br />

on Ethernet is designed, which uses the mixed programming <strong>of</strong> Visual<br />

C++ and Matlab. This kind programming adopts TCP/IP protocol and<br />

uses Socket to encapsulate into DLL so as to realize the transmission<br />

<strong>of</strong> network data. And then build simulation models in the Matlab environment<br />

on two computers at the same time, whose communication are<br />

worked by calling packaged Socket function. Through the simulations<br />

<strong>of</strong> typical controlled object in the process <strong>of</strong> industrial production, the<br />

feasibility and effectiveness <strong>of</strong> the control scheme has been proved.<br />

◁ PFrB-41<br />

The Study <strong>of</strong> Wireless Sensor Network Energy, pp.433–437<br />

Duan, Ping<br />

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

Based on the ZigBee Wireless Sensor Network technology with its low<br />

cost, low power consumption and low complexity, which has great concerned<br />

application prospect. In view <strong>of</strong> its node energy limited, replace<br />

the battery isn’t convenient and so on, this paper with an actual application,<br />

from the physical layer <strong>of</strong> hardware structure and network protocol<br />

in two aspects <strong>of</strong> the power consumption. Put forward by use <strong>of</strong> the low<br />

power consumption and has a variety <strong>of</strong> work mode based on the chip,<br />

the physical layer protocol reduces power consumption , could guarantee<br />

the algorithm <strong>of</strong> the quality and reduce the system <strong>of</strong> communication<br />

power consumption. Among them, reduce power consumption<br />

algorithm including: dynamic power management, the determination <strong>of</strong><br />

sleeping time.<br />

◁ PFrB-42<br />

Research and Application <strong>of</strong> Whole-process Virtual Simulation for Tunnel<br />

Shield System, pp.3208–3213<br />

Han, Yanling<br />

No.999, Huchenghuan Road,College <strong>of</strong><br />

information, Shanghai Ocean Univ., Pudong New<br />

Area, Shanghai<br />

Cao, Shouqi<br />

Shanghai Ocean Univ.<br />

Aiming at the complexity, dynamics and special safeness <strong>of</strong> the construction<br />

process for tunnel shield, we applied the computer dynamic<br />

simulation technology into the whole-process simulation realization for<br />

shield construction, constructed 3D virtual simulation platform based on<br />

OpenInventor technology and gave the overall framework <strong>of</strong> the system;<br />

in the paper, the soil dynamic simulation model in the process<br />

<strong>of</strong> tunneling operation was researched and ground settlement computation<br />

model was constructed, and the relative arithmetic was given.<br />

The whole process <strong>of</strong> shield construction was emulated dynamically<br />

and the situation <strong>of</strong> the soil change and the ground surface settlement<br />

were analyzed and feedback in time, and the actual construction process<br />

was controlled and guided availably by coordinating with configuration<br />

s<strong>of</strong>tware. At last, we took the new construction project <strong>of</strong> Xianxia<br />

West Road in Shanghai Hongqiao comprehensive communication hub<br />

as application background and verified by test running, the result indicated<br />

that the simulation system satisfied the construction request on<br />

the scene <strong>of</strong> tunnel. It explained the feasibility <strong>of</strong> simulation technology<br />

and simulation model, and provided aided decision-making means for<br />

risk controlling <strong>of</strong> actual shield construction process.<br />

◁ PFrB-43<br />

Using fuzzy theory and information entropy to detect leakage for<br />

pipelines, pp.3232–3235<br />

Chen, Zhigang<br />

Beijing Univ. <strong>of</strong> Civil Engineering & Architecture<br />

When detect leakage for pipelines in complicated conditions it is difficult<br />

to determine reasons between pipeline fault symptoms and fault causes.<br />

In order to obtain the complicated subordinate relationships and<br />

to improve the accuracy <strong>of</strong> pipeline leakage fault diagnosis and other<br />

operations, a fault diagnosis method based on the fuzzy mathematics<br />

theory and the advantages <strong>of</strong> information entropy quantitative diagnostic<br />

method is proposed. In this study, fuzzy mathematics theory and<br />

some typical information entropy were introduced and how to establish<br />

fuzzy diagnosis matrix and extract characteristic information entropy is<br />

also analyzed in leakage detection for pipelines. Some imitation and<br />

field examples were given. The experiments showed that the mapping<br />

relationships between the pipeline fault symptoms and the fault causes<br />

was most consistent with the actual situation.<br />

◁ PFrB-44<br />

Model Identification for Closed-loop Multivariable Processes Based on<br />

Min-max Critical Frequency Search, pp.3260–3264<br />

Luo, Yunhui<br />

Liu, Hongbo<br />

Cai, Wen-Jian<br />

Jia, Lei<br />

Shandong Univ.<br />

shandong Univ.<br />

Nanyang Technological Univ.<br />

Shandong Univ.<br />

This paper presents an improved method <strong>of</strong> model parameters identification<br />

in frequency-domain for closed-loop multivariable processes.<br />

Based on reference input and process output data during the closedloop<br />

sequence step tests, the process frequency-responses are estimated<br />

with signal frequency analysis. Using a min-max critical frequency<br />

search algorithm, only a least possible number <strong>of</strong> frequency points<br />

are obtained for model fitting. Then the first order plus delay time transfer<br />

functions are determined by implementing the linear least-square<br />

method. Compared with existing methods, the proposed identification<br />

technique has the advantage <strong>of</strong> less computation burden and is easy<br />

for industrial applications. Simulation results show the simplicity and<br />

effectiveness <strong>of</strong> the proposed method.<br />

◁ PFrB-45<br />

An Adaptive Observer for Actuator and Sensor Fault Diagnosis in Linear<br />

Time-Varying Systems, pp.3281–3285<br />

GAO, Fei<br />

JIANG, Guangwen<br />

ZHANG, Zebang<br />

SONG, Jingyu<br />

Sys. Engineer Research Institude<br />

CSSC<br />

CSSC<br />

CSSC<br />

Fault detection and isolation is important and effective to improve the<br />

safety and reliability <strong>of</strong> engineering processes and systems. However,<br />

for systems with redundant sensors, it is important to detect faulty sensors<br />

as early as possible to reduce their effect on the performance <strong>of</strong><br />

the control systems. In this paper, an observer for linear time-varying<br />

systems with both sensor and actuator faults is derived by extending<br />

the one that considers only actuator faults. Guidelines for selection the<br />

design parameters <strong>of</strong> the observer are discussed. The global exponential<br />

convergence is established for noise-free systems, whilst for noisy<br />

systems, the estimation errors are shown to be bounded and converged<br />

in the mean to zero if the noises are bounded and have zero means.<br />

The proposed technique is applied to detect both actuator and sensor<br />

faults in a satellite navigation system.<br />

◁ PFrB-46<br />

The Bi-Ramp Type Demand and Price Discount Inventory Model for<br />

Deteriorating Items, pp.3298–3304<br />

Zhou, Youjun<br />

LiuZhou Teachers College<br />

The paper consider a inventory model for deteriorating items with being<br />

out <strong>of</strong> stock at the beginning, in which the supplies providing price<br />

discount and price-dependent and time-varying demand and so forth.<br />

The existence <strong>of</strong> the optimal solution is proved and an algorithm <strong>of</strong> the<br />

optimal ordering policy is given. Finally, we carry out the numerical<br />

experiments.<br />

◁ PFrB-47<br />

A Data-Driven Based Adaptive Fault Diagnosis Scheme for Nonlinear<br />

Stochastic Distribution Systems via 2-step Neural Networks and Descriptor<br />

Model, pp.3311–3315<br />

Zhang, Yumin<br />

Liu, Yunlong<br />

Guo, Lei<br />

Beihang Univ<br />

Beihang Univ.<br />

Beihang Univ.<br />

A data-driven based adaptive sensor fault diagnosis (FD) and compensation<br />

scheme for stochastic distribution control (SDC) systems is studied<br />

in this paper, where an augmented descriptor model is employed.<br />

Unlike traditional SDC systems, the driven information is the output<br />

probability density function (OPDF), which is a kind <strong>of</strong> image mapping<br />

information to the true output values. A mixed 2-step adaptive neural<br />

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