Conference Program of WCICA 2012
Conference Program of WCICA 2012
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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