Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
network (NN) framework is studied, where the static NN is to describe
the OPDF while the dynamic NN is to identify nonlinearity, uncertainty
of system and to refine the OPDF model based on data of the input
and statistic information of the output. To identify the sensor fault, an
augmented descriptor system is employed, where the augmented state
includes the plant state and the sensor fault. As a result, an adaptive
strategy is given for nonlinear parameter estimation and sensor fault
identification simultaneously. A sensor compensation rule is given to
restore the plant by adding it to output feedback controller. The simulation
examples are given to verify the effectiveness of the presented
algorithm.
◁ PFrB-48
Study on Periodic Feeding Control for a Semi-batch Polymerization Process,
pp.3316–3321
Zhao, Rongchang
Cao, Liulin
Wang, Jing
Beijing Univ. of Chemical Tech.
BUCT
Beijing Univ. of Chemical Tech., China
The relationships between period operation and Molecular Weight Distribution
(MWD) of polymeric products were investigated firstly aiming
at a semi-batch free-radical homo-polymerization process. Then, using
the duty-cycle of the periodic feeding as a control variable, a novel
method of controlling the quality of polymer was proposed. The objective
function of maximum possible monomer conversion (XM) with a
specific value of polydispersity (PDI) of MWD was chosen as the control
index. Particle Swarm Optimization (PSO) was utilized to solve the
optimization problem. Simulation results indicated that under periodic
operation of reactant feeding, the wider variation range for PDI of MWD
can be obtained, and the PDI in a semi-batch polymerization reactor
can reach the required goal in terms of adjusting the duty-cycle of periodic
feeding.
◁ PFrB-49
Key Technology of Network Monitoring and Early Warning System for
Wharf Mooring, pp.3336–3339
Qiu, Zhanzhi
Sun, Lei
Liu, Yongchao
Dalian Jiaotong Univ.
Dalian Jiaotong Univ.
Dalian Jiaotong Univ.
Aiming at the needs of domestic large-scale open-wharf ship mooring,
design solution and other issues about network monitoring and early
warning system for wharf mooring are studied. Network monitoring
solutions, system architecture, monitoring data collection, transmission
methods and distributed data storage technology are described. The
system can monitor and predict mooring control through DB technology,
web technology and software engineering technology so that ensure
the security of wharf mooring and efficient solutions.
◁ PFrB-50
Power Reliable Analysis of Coalmine Emergency Monitoring System in
Catastrophic Environment, pp.3345–3350
Ma, Fengying
Shandong Inst. of Light Industry
The emergency refuge system is significant for coalmine safety in
catastrophic Environment. The emergency monitoring is the important
part of the emergency system, which detects lots of parameters of the
system. In order to assess the reliability of the underground substation
power in the coalmine emergency monitoring system, the accelerated
life tests under constant stress were presented based on the exponential
distribution. Through a comparative analysis of lots of factors, the
temperature was chosen as the constant accelerated stress parameter.
With regard to the data statistical analysis, the type-I censoring
sample method was put forward. The mathematical model of the coal
mine monitoring power supply was established and the average life expectancy
curve was obtained under different temperatures through the
analysis of experimental data. The results demonstrated that the mathematical
model and the average life expectancy curve were fit for the
actual very well. It is concluded that the reliability study of the substation
power provides an important foundation for the coalmine emergency
monitoring system.
◁ PFrB-51
Distributed Storage and Prediction Method for Mooring Monitoring System,
pp.3351–3354
Sun, Lei
Qiu, Zhanzhi
Dalian Jiaotong Univ.
Dalian Jiaotong Univ.
Distributed storage and prediction method of monitoring data for mooring
monitoring system is researched. Aiming at the real time requirement
of monitoring and prediction for mooring monitoring system,
used Hadoop distributed file system to store generous monitoring data,
and used Map/Reduce framework to predict monitoring data, which
solve the problem of mass data storage in limited memory and timeconsuming
dynamic prediction. Simulation analysis shows that the distributed
data storage and prediction method can solve the problem of
massive data storage, and enhance the prediction efficiency of the system,
so that mooring monitoring system achieve the design requirements
of the system.
◁ PFrB-52
Energy consumption monitoring of the steam pipe network based on
affinity propagation clustering, pp.3364–3368
You, Xiazhu
Du, Wenli
Zhao, Liang
Qian, Feng
East China Univ. of Sci. & Tech.
automation Inst.
East China Univ. of Sci. & Tech.
East China Univ. of Sci. & Tech.
Abstract - The steam system is an important part of chemical utility
system, but there are widespread phenomenon about lack of testing
information, energy consumption configuration depend on given experience
and wasting energy. So this paper puts forward a method about
the steam pipe network system’s status identification of different energy
consumption based on the steam pipe network’s characteristics
of complex structure, much steam equipment, lack of testing information
and difficult to build accurate mathematical model. The method
based on affinity propagation clustering that can solve big set of data’
s clustering problem quickly and effective. As it is hard to find preference
parameters and damping factor, this paper uses PSO to find the
most optimal parameters in order to achieve the best clustering effect.
This method is applied test both in classic data set and the steam pipe
network of ethylene plant’s status identification, the results show the
effectiveness of this method.
◁ PFrB-53
Individual Pitch Control of Large-scale Wind Turbine Based on Load
Calculation, pp.3384–3388
Gao, Feng
North China Electric Power Univ.
Wind shear and tower shadow makes wind speed in the rotor rotating
plane changing differently, so it increase the load difference of every
blade seriously. This paper model 1.5MW wind turbine for individual
pitch control, and analyze the main reason of periodic load fluctuation.
Then individual pitch control based on load calculation was researched
combining the actual of the load is difficult to measure. Pitch angle
was distributed by weight coefficient to realize individual pitch control.
The weight coefficient was computed according to the computed axial
load based on blade element theory, at the same time the blade elements
were divided by weight coefficient to ensure the real-time request
for control algorithm. Simulations indicate that the proposed individual
pitch control method not only meet the basic power control request but
also reduce fluctuation of load, so it can solve the problem of fatigue
load in process of development to large-scale.
◁ PFrB-54
Adaptive decoupling control systems based on SVM for large supercritical
CFB boilers combustion system, pp.3401–3406
Liu, Han
Xi’an Univ. of Tech.
An αth-order inversed decoupling control method based on least
square support vector machines (LS-SVM) is presented to resolve the
difficulties of inverse modeling with the traditional inverse control methods
in this paper. The nonlinear offline inverse model of plant is built by
LS-SVM, which is cascaded before the original system to decouple a
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