Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
model, but for the complexity of the practical manufacturing process, it
is difficult to set up the mechanical process model. This paper presents
a data-based fault tolerant approach. Taking the disturbance and the
fault into account, it adopts a large amount of historical data to predict
the output of the single-product and multi-products semiconductor
manufacturing process by the K-nearest neighbor (K-NN) nonparametric
regression method. Then fault detection is achieved and a alarm
is given, furthermore the traditional exponent weight moving average
(EWMA) controller is improved to achieve fault-tolerant control. The
results of simulation show that the approach is effective.
◮ SaA06-6 15:10–15:30
Fault Tolerant Control for a Robust Nonlinear Robotics via Optimal
H∞Controller, pp.3248–3253
AL-BAYATI, AHMAD HUSSAIN
Wang, Hong
THE Univ. OF MANCHESTER
Manchester M60 1QD,U.K
This paper presents a new optimal Fault tolerant control FTC, which
includes anew optimal theorem to design a controller and new reconfiguration
algorithm to reconfigure the controller law. The achieved FTC
technique has been applied for Double Two Joints Inverted TJIRA robots
arms which raise a plate where the weight of it distributed evenly on
the two TJIRA. The study has been carried out different conditions in
terms of an additive fault and a white noise as disturbance, where the
angles of the two arms position have been considered. As results, Matlab
simulation of a TJIRA is undertaken while CVX optimizing software
is used to obtain the optimal parameters and to verify the performance
of the proposed theorem. The simulation results are obtained to show
the high performance of the proposed FTC technique which reflects on
the speed of the arms motion to overcome on the effects of the fault
and noise.
SaA07 13:30–15:30 Room 303
Advanced Control Algorithms and Applications (I)
Chair: Heng, Qinghai
Co-Chair: WANG, Xin
Beijing Information Sci. & Tech. Univ.
Shanghai Jiao Tong Univ.
◮ SaA07-1 13:30–13:50
Multiple Models Direct Adaptive Controller Using Dimension-By-
Dimension Technology, pp.2630–2635
WANG, Xin
ZHENG, Yihui
Li, Lixue
Yang, Hui
Shanghai Jiao Tong Univ.
Shanghai Jiao Tong Univ.
Shanghai Jiao Tong Univ.
East China Jiaotong Univ.
For a non-minimum phase system, a multiple models direct adaptive
controller using Dimension-by-Dimension technology is presented. The
multiple models are constituted with controller directly, which lower the
calculation and avoid the ill-condition matrix solution. The multiple models
are composed of multiple fixed controllers, one free-running adaptive
controller and one re-initialized adaptive controller. The fixed controllers
are derived utilizing system prior information directly and guaranteed
to cover the whole region in which the parameter changes. To
solve the problems such as too many models, long computing time and
so on, Dimension-By-Dimension technology is proposed. It adopts onedimension
optimization method in series instead of multiple-dimension
optimization method in parallel to reduce the number of the controllers
greatly. At last the global convergence is obtained. In the simulation
example, when compared with the convenient multiple models adaptive
controller, if the same number of the fixed models is adopted, system
transient response are improved effectively.
◮ SaA07-2 13:50–14:10
Robust Control of Hydro Turbine Speed Governor, pp.2680–2684
Heng, Qinghai
Lu, Jing
Lu, Yang
Beijing Information Sci. & Tech. Univ.
Beijing Information Sci. & Tech. Univ.
Beijing Information Sci. & Tech. Univ.
This paper presents the design of the μrobust performance of a hydro
Turbine speed governor. It can be used to solve the μrobustness problems,
which can’t be done by the conventional H∞robust performance
designs. High frequency oscillation and large amplitude of output and
control variable of the control system are exhibited by a conventional
H∞robust performance design method. It is pointed out that the design
of the robust performance can be formulated as a optimization
μ-synthesis method, if the uncertainty weighting function and the performance
weighting function are revised appropriately. The selections
of the weighting functions are studied and the optimization μ-synthesis
robust PI controllers are solved. The simulation results show that the
proposed method is valid. The realization of the controllers doesn’t involve
extra cost to the control equipment in existence.
◮ SaA07-3 14:10–14:30
H ∞ Loop Shaping Based Low Order Structured Robust Controller Design,
pp.2710–2715
ZHOU, Shiliang
Liu, Yuyan
North China Electric Power Univ.
North China Electric Power Univ.
Standard H ∞ loop shaping design has two drawbacks. The
first is that it is difficult to select appropriate loop shaping
weights, and the second is that the resulting controller is very complex.
To resolve these two drawbacks, a low order structured robust
controller design scheme is proposed. The scheme is based on fixed
structure weight optimization and static H ∞ loop shaping controller
synthesis. Giving control points of shaped plant singular value bounds
and structure of controller, then controller with desired performance
specifications and maximal robust stability margin can be derived
via linear matrix inequality based iteration optimization. Third order
robust controller for steam generator water level plant is designed
using this method, and comparisons are made among the proposed
method and other two H∞loop shaping design schemes under different
control condition, including step change of level reference, step change
of steam flow rate and change of operation point. Simulation results
show that the control system has good control performance, and its
robust stability is better than the ones designed by other two schemes.
◮ SaA07-4 14:30–14:50
Model-free Subspace-based Control Scheme for Grid-Connected Voltage
Source Inverters, pp.2674–2679
Chen, Jianmin
Yang, Fuwen
Han, Qing-Long
East China Univ. of Sci. & Tech.
East China Univ. of Sci. & Tech.
Central Queensland Univ., Australia
In this paper, both model-free subspace-based LQG control and H-
inf control schemes are used to investigate the tracking control performance
and robustness of grid-connected voltage source inverters
(VSIs). The proposed approaches do not require any identification or
other modeling process. The controller can be directly derived from the
experimental inputs/outputs measurements. Both the subspace-based
LQG controller and H-inf controller are recursively designed. Simulation
results show subspace-based LQG controller has a better tracking control
performance than subspace-based H-inf controller, whereas, H-inf
controller has stronger robustness than LQG controller.
◮ SaA07-5 14:50–15:10
Research on Global Motion Estimation Based on Adaptive SIFT Algorithm,
pp.2758–2763
Zhang, Huiqing
An, Jiancheng
Cao, Luguang
Beijing Univ. of Tech.
Beijing Univ. of Tech.
Beijing Univ. of Tech.
Based on time redundancy in video image sequences an adaptive SIFT
(Scale-invariant feature transform) algorithm is proposed . According
to the latest three models’outputs in global motion estimation, the
algorithm predicts overlapping regions between reference and current
frames by using Lagrange parabolic interpolation, and then extracts
feature points in the smaller region instead of the whole image. In this
way, it can eliminate a large number of information redundancies to increase
the processing speed of each frame, improve the effectiveness
of feature points and reduce the mismatch. Experimental results show
that the improved algorithm has the features of strong adaptive ability,
rapidity and high matching accuracy, and it can be applied to the
real-time positioning.
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