Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
state or input transformation. Finally, the simulation results show the
effectiveness of the proposed control design approach.
◮ FrB10-4 16:50–17:10
Stabilizing the Attitude of a Flexible Spacecraft with Fast Convergence,
pp.1676–1681
Ding, Shihong
Zheng, Wei Xing
Jiangsu Univ.
Univ. of Western Sydney
To achieve the high accuracy attitude stabilization, by utilizing finitetime
control technique, a non-smooth attitude stabilizing control strategy
for flexible spacecrafts is investigated in this paper. Based on a
backstepping-like control scheme, the non-smooth attitude controller
can be constructed step by step. The rigorous mathematical stability
analysis of the overall closed-loop system is made by means of the
cascaded systems theory. Simulation results show that not only can the
attitude be stabilized precisely, but also the elastic vibration of flexible
appendages can be suppressed effectively.
◮ FrB10-5 17:10–17:30
Finite-Time Consensus Problem for Multiple Non-holonomic Mobile A-
gents, pp.1739–1744
Wang, Jiankui
Qiu, Zhihui
Zhang, Guoshan
Yang, Weichao
Tianjin Univ.
Tianjin Univ.
Tianjin Univ.
Tianjin Univ.
In this paper, the problem of finite time consensus is discussed for
multiple non-holonomic mobile agents. The objective is to design a
distributed finite time control law such that the controlled multiple nonholonomic
mobile agents can reach consensus within any given finite
settling time. We propose a novel switching control strategy with the
help of time-rescalling technique and graph theory. The numerical simulations
are presented to show the effectiveness of the method.
◮ FrB10-6 17:30–17:50
Flux Estimation of Induction Motors Using High-order Terminal Sliding-
Mode Observer, pp.1860–1863
Feng, Yong
Zhou, Minghao
Shi, Hongyu
Yu, Xinghuo
Harbin Inst. of Tech.
Harbin Inst. of Tech.
Harbin Inst. of Tech.
RMIT Univ.
This paper presents a rotor flux estimation method for induction motors
based on high-order terminal sliding-mode observer. A terminal sliding
mode manifold is designed for the observer and a control strategy is applied
to stabilize the observer. A high-order sliding-mode mechanism is
utilized in the observer controller to generate a smooth control signal,
which can be directly used for the estimation of the rotor flux. The estimate
of the rotor flux can be used for implementing the field orientation
control of an induction motor. The effect of the equivalent low-pass filter
in the high-order sliding-mode mechanism can be regulated according
to the performance requirements.
FrB11 15:50–17:50 Room 311C
Invited Session: Intelligent Optimization and Evolutionary Computation
(II)
Chair: Chen, Jie
Beijing Inst. of Tech.
Co-Chair: Wang, Ling
Tsinghua Univ.
◮ FrB11-1 15:50–16:10
Three-dimensional Deployment Optimization of Sensor Network Based
on An Improved Particle Swarm Optimization Algorithm, pp.4395–4400
Lian, Xiaoyan
Zhang, Juan
Chen, Chen
Deng, Fang
Beijing Inst. of Tech.
Beijing Inst. of Tech.
Tsinghua Univ.
Beijing Inst. of Tech.
Compared with the traditional two-dimensional (2D) deployment form,
three-dimensional (3D) deployment of sensor network has greater research
significance and practical potential to satisfy the detecting needs
of targets with complex properties. In this paper, a method for 3D deployment
optimization of sensor network based on an improved Particle
Swarm Optimization (PSO) algorithm is proposed. Many factors
such as coverage scale, detection probability and resource utilization
are synthetically considered to optimize the sensor network’s overall
detection performance. To evaluate the network’s performance, four
indexes are presented and the 3D deployment space is divided into
different height levels. Accordingly, the mathematical model is formulated
by weighting the performance indexes and height levels due to
their importance degrees. In order to solve the optimization problem,
an algorithm called WCPSO is carried out, which has a dynamic inertia
weight and adaptable acceleration constants. Verified by the simulation
results, the presented 3D deployment optimization method effectively
improves the sensor network’s detection performance. The method
in this paper can provide guidance and technical reference in future
application of relevant research.
◮ FrB11-2 16:10–16:30
Optimization of a 3-PRS parallel manipulator based on interval analysis,
pp.2452–2456
Zhang, Xu
Fang, Hao
Beijing Inst. of Tech.
Beijing Inst. of Tech.
This paper addresses the problem of mechanism optimization of the
3-PRS parallel manipulator, a mechanism consisting of a moving platform
and a base platform connected by three serial PRS chains. In
order to optimize the geometrical parameters, first the inverse kinematic
of the 3-PRS parallel manipulator is analyzed and the requirement of
specific workspace of 3-DOF independent motions is defined by satisfying
the constraints of the actuator length. Then due to existence of
the unexpected parasitic motions, the parasitic motions are expressed
as the functions of the independent motions so that the evaluation of
the actuator length only depends on the desired independent motions.
Therefore an algorithm based on interval analysis is designed to
optimize the design parameters. Interval-based optimization can provide
almost all the solutions satisfying the requirement of the specific
workspace. A numerical example of the optimization is presented and
the comparison of two groups of design parameters is given to validate
the effectiveness of the proposed interval-based optimization algorithm.
◮ FrB11-3 16:30–16:50
A Differential Evolution Algorithm with Two Speed-up Methods for NF-
SSP with SDSTs and RDs, pp.490–495
Qian, Bin
Du, Puze
Hu, Rong
Che, Guolin
Kunming Univ. of Sci. & Tech.
Kunming Univ. of Sci. & Tech.
Kunming Univ. of Sci. & Tech.
kmust
This paper presents a differential evolution algorithm with two speedup
methods (DE TSM) for solving the no-wait flow-shop scheduling
problem (NFSSP) with sequence-dependent setup times (SDSTs) and
release dates (RDs). The criterion is to minimize the total completion
time. To balance the exploration and exploitation abilities of our
DE TSM, DE-based global search is utilized to find the promising regions
or solutions over the solution space, and a fast local search according
to two speed-up methods is designed to fast exploit the neighborhoods
of these regions. Simulation results based on a set of random
instances and comparisons with several effective meta-heuristics
demonstrate the superiority of DE FNES in terms of searching quality
and efficiency.
◮ FrB11-4 16:50–17:10
Implementation of Control Algorithm for Three-Dimensional Pursuer
Convoy, pp.2005–2010
Feng, Shulin
Wang, Wei
Zhang, Huanshui
Shandong Univ.
Shandong Univ.
Shandong Univ.
In this paper, we consider the problem of modeling and controlling a
convoy in the three-dimensional space. The guidance laws applied for
convoy are the velocity pursuit and the deviated pursuit, which steer the
pursuer using the rate of line-of-sight (LOS) between successive pursuers.
On the basis of the differential equations for the range, the pitch
angle of LOS and the yaw angle of LOS between successive pursuers,
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