Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
ity of the sintering burden system, the prediction model of sintering burden
is established by BP neural network. In addition, a new optimization
method of the sintering experiment is proposed, based on information
entropy and chaotic improved particle swarm algorithm. The initial particle
colony is produced by information entropy to increase the variety
of the initial colony. The strategy of dynamic nonlinear adjustment is
used for the inertia weight in this paper according to the iteration times,
so as to improve the algorithm’s searching capability. And the traversal
characteristic of chaos optimization is introduced to overcome effectively
the local convergence of standard particle swarm algorithm. The
simulating results show that the improved particle swarm algorithm has
faster converge, fewer iteration times and stronger global optimization
ability.
◁ PSaC-25
Establishment and Optimization of Prediction Model for Recovery Rate
of Alloying Elements, pp.2588–2591
Fang, Xiaoke
Yu, Liye
Zhang, Wenle
Wang, Jianhui
Northeastern Univ.
State Key Laboratory of Hybrid Process Industry
Automation Sys. & Equipment Tech.
Northeastern Univ.
Northeastern Univ.
Steel quality depends on the alloying model precision. While the precision
is mainly dependent on the recovery rate of alloying elements calculation,
the prediction model for recovery rate of alloying elements was
established based on the BP neural network. The simulation shows that
using POS algorithm to optimize the model is still easy to fall into local
minimum, so a simulated annealing (SA) thought was introduced to improve
it. By the comparison we can see that SA-PSO algorithm can
overcome above shortcomings. This algorithm strengthens the global
convergence ability. It can optimize the model while ensuring high precision
and improve the training convergence rate at the same time. The
simulation results proved that this model is effective.
◁ PSaC-26
Robust adaptive control for a class of switched nonlinear systems with
unmodeled dynamics, pp.2636–2641
Zhu, Baicheng
Zhang, Tianping
An, Yao
Yangzhou Univ.
Yangzhou Univ.
Yangzhou Univ.
An adaptive neural network control scheme is proposed for a class
of nonlinear switched systems with unmodeled dynamics in purefeedback
form. The design is based on the dynamic surface technique,
the approximation capability of neural networks and the dwell-time approach.
The design makes the approach of dynamic surface control
be extended to the nonlinear switched system with unmodeled dynamics,
and relaxes the extent of application of the approach of dynamic
surface control. Compared with the existing literature, the proposed approach
relaxes the requirements of the system. And the explosion of
complexity in traditional backstepping design caused by repeated differentiations
of virtual control is avoided. By theoretical analysis, the
closed-loop control system is shown to be semi-globally uniformly ultimately
bounded.
◁ PSaC-27
A New Wavelet Coefficients Correlation Denoising Method Applied in
Fault Detection, pp.2657–2660
Xiao, Qian
Shenyang Univ.
In fault detection of power system, the detection for mutations signal
is very important. The application of wavelet coefficients correlation
denoising in signal detection for noisy fault problem is relatively
widespread. However, after doing wavelet transform to the noisy signal,
the wavelet coefficients of each scale will produce a small offset.
This paper presents a wavelet coefficients correlation denoising method
based on the cross-correlation function. Cross-correlation algorithm is
used to calculate the offset between each scale coefficient and original
noisy fault signal. Then do correlation analysis to the shift scale signal
to get accurate mutation signal, so as to determine the location of
faults.
◁ PSaC-28
Trajectory tracking control for mobile robot based on the fuzzy sliding
mode, pp.2706–2709
Xie, Mujun
LI, Li-ting
Wang, Zhi-qian
Changchun Univ. of Tech.
Changchun Univ. of Tech.
Changchun Inst. of Optics,Fine Mechanics &
Physics,Chinese Acad. of Sci.
The trajectory tracking control problem of the uncertain mobile robot
with nonholonomic constraints is analyzed. Sliding mode control is presented
based on the kinematics models analysis. Switching function of
sliding model control is designed according to back-stepping method.
Trending law control is selected to improve the system dynamic performance.
In order to solve the constant speed problem caused by
conventional trending law control, fuzzy control is used to adjust trending
speed in the real time. The simulation results demonstrate that the
fuzzy sliding mode controller improves the rapidity of trajectory tracking,
and reduces the tracking error and the chattering of the control output.
◁ PSaC-29
Path Following of Underactuated UUV Based on Backstepping,
pp.2734–2739
Yan, Zheping
Chi, Dongnan
Jia, Heming
Zhou, Jiajia
Harbin Engineering Univ.
Harbin Engineering Univ.
Harbin Engineering Univ.
Harbin Engineering Univ.
An algorithm of path following for Unmanned Underwater Vehicle (UU-
V) based on backstepping is proposed in this paper. To design the path
following controller by the backstepping technique, the algorithm compares
desired path predefined and the path information collected from
the sensors of vehicle and combines with Lyapunov theory analyzing
the stability of the control system. The path following method for the
vehicle with two inputs and three outputs in the horizon plane has been
clarified. The sway coupled virtual control input is introduced. The aim
for the controller designed is to drive the real location and orientation
tend to the desired path information, to guide the whole velocity inclining
to the tangent of desired path, and to guarantee the heading asymptotically
converging to zero ultimately. Lake experiment data shows the
validity of the method presented.
◁ PSaC-30
Feedback Linearization Robust Control of Arc Furnace Electrode Regulator
System Based on dSPACE Simulation, pp.2740–2745
Liu, Xiao-he
Gao, Yuan
Beijing Information Sci. & Tech. Univ.
Beijing Information Sci. & Tech. Univ.
The method of feedback linearization robust control based on dSPACE
hardware-in-the-loop simulation for arc furnace electrode regulator system
is discussed. With the linear feedback method of differential geometry
dealing with non-linear part of electric arc furnace system, the
robust controller was designed. Then the hardware-in-the-loop simulation
system was built, and several simulations was done. Simulation
results show that the feedback linearization robust control has shorter
response time and smaller overshoot than the PID control.
◁ PSaC-31
Decentralized Controller Design Based On 3-Order Active-disturbancerejection-control,
pp.2746–2751
Tian, Lingling
Li, Donghai
Huang, Chun E
Beihang Univ.
Tsinghua Univ.
Tsinghua Univ.
In this paper, the design method of decentralized controllers using 3-
order active-disturbance-rejection-control (3-ADRC) is presented. 3-
ADRC can compensate the non-modeled dynamics and external disturbances
of the system by using 3-order extend state observer, and
decouple among loops. A set of parameters is obtained by optimum
algorithm. By introducing a significant reduction to the control parameters,
the decentralized 3-ADRC controller is easy to be tuned. The
proposed method is applied to seven examples from literature. Simula-
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