Conference Program of WCICA 2012

Conference Program WCICA 2012
as simple algorithm, high reliability and fast tracking. P&O method is
used to track the output power of PV system with the variation of solar
intensity. The simulation results show that P&O can accurately track
the maximum power point
◁ PFrA-73
Non-fragile Guaranteed-cost H1 Control for a Class of Nonlinear
Sampled-data System, pp.154–158
Wang, Shi-gang
Heilongjiang Univ.
This paper considers the non-fragile costguaranteed control problem for
uncertain nonlinear sampled-data system and controller gain perturbations.
Firstly, the continuous control plant of sampled-data system is
transformed into a discrete system model with nonlinear.Then, the Lyapunov
stability theory and the linear matrix inequality (LMI) approach
are applied to design a non-fragile cost-guaranteed controller, which results
in the closed-loop system being asymptotically stable and the system’s
performance index being less than a given value. At the same
time, the existence condition and the design approach of a non-fragile
cost-guaranteed controller are presented. Finally, simulation examples
are employed to verify the validity of the proposed control algorithm.
◁ PFrA-74
Adaptive Proportional Guidance Law for Reentry Vehicles with Impact
Angle and Terminal Velocity Constraints, pp.159–163
Xie, Daocheng
Wang, Zhongwei
national Univ. of defense Tech.
National Univ. of Defense Tech.
Adaptive proportional guidance law is studied during the reentry phase
of vehicle, considering terminal velocity and impact angle constraints.
3-D adaptive proportional guidance law satisfying impact angle constraint
is derived, guidance equations are expressed in longitudinal and
lateral plane respectively, needed guidance command of angle of attack
and sideslip angle is generated. Guidance command of angle of attack
and sideslip angle is appended when considering reentry velocity.
Synthesized guidance command is the sum of needed guidance command
and appended guidance command. Effect of attitude control for
vehicle is compared using optimal guidance and adaptive proportional
guidance law, the attitude of vehicle is stable and the vehicle is guided
to target point using adaptive proportional guidance laws. Trendline of
landing error, reentry velocity and terminal angle varying with target velocity
are analyzed, adaptive proportional guidance law performs much
better than optimal guidance, simulation results indicate that adaptive
proportional guidance law is robust to maneuvering target.
◁ PFrA-75
Adaptive Fuzzy Path Following Control for a Nonholonomic Mobile
Robots, pp.204–208
Shi, Wuxi
Tianjin Polytechnic Univ.
This paper addresses an adaptive fuzzy path following control scheme
of a mobile robot with uncertainty of its center of mass. A fuzzy system
is used to approximate the uncertainty function of the controller,
the parameters in fuzzy system are adjusted by the tracking error. The
approximation error can be efficiently counteracted by employing robust
compensator. The proposed design scheme guarantees that all
signals in the closed-loop system are bounded, and the tracking error
converge to the origin. A simulation example is used to demonstrate
the effectiveness of the proposed scheme.
◁ PFrA-76
Study on a Sliding Mode Variable Structure Vector Control of Induction
Motor Drives, pp.209–213
Liu, Huan
Cui, Han
Shenyang Univ. of Chemical Tech.
Shenyang Univ. of Chemical Tech.
Compared with the conventional control strategy of IM. FOC can offer
the excellent performance as DC motors. However, the control performance
of the resulting linear system depends critically on very accurate
coordinate transformations and flux angle estimation. In this paper ,an
indirect field-oriented induction motor drive with a sliding-mode controller
is presented .The design includes rotor speed estimation from
measured stator terminal voltages and currents .The estimated speed
is used as feedback in an indirect vector control system achieving the
speed control without the use of shaft mouted transducers. Stability
analysis based on Lyapunov theory is also presented, to guarantee the
closed loop stability. The simulation experimental waveforms and results
are given.
◁ PFrA-77
The Application of PowerGREP in Corpus Processing for Foreign Language
Teaching, pp.220–223
Liu, Huan
Cui, Han
Shenyang Univ. of Chemical Tech.
Shenyang Univ. of Chemical Tech.
Corpus annotation is an important but difficult part in corpus linguistic
research. In addition to speech tagging, bulk or automatic generation
of other types of labels, including the labeling of emantics, syntax, discourse
and pragmatics, are difficult to achieve. This paper describes
the the application of PowerGREP in corpus processing for foreign language
teaching, focusing on the three main functions including retrieval,
editing and replacement, and collection as well. In addition, taking the
data of BNC as an example, the paper showed how to apply Power-
GREP in automatic or semi-automatic corpus processing.
◁ PFrA-78
Multi-objective Optimization of Airport Gate Assignment , pp.260–264
Liu, Changyou
Liang, Yutao
Civil Aviation Univ. of China
China Aviation Univ. of China
It is often focus on not only the efficiency improvement, but also the
safety enhancement in the practical operations of busy airport. A model
of multi-objective airport gate assignment problem with the safety
constrains of the taxi-in and push-out conflict avoidance is proposed in
the paper and an optimizing solution is given by ant colony algorithm.
The illustrative examples with the realistic flight data show the validity
of our approach for offering both the safety and the efficiency to busy
airport operations.
◁ PFrA-79
Indirect Position Detection of SRM Based on Genetic Algorithm,
pp.275–279
Xiao, Li
Sun, Hexu
Hebei Univ. of Tech.
Hebei Univ. of Technolog
Due indirect position detection of SRM based on traditional BP neural
network have shortcomings of long training time, slow convergence and
easy to fall into local minimum, this paper presents a method of indirect
position detection based on BP neural network optimized by genetic
algorithm. The method uses the global optimization ability of genetic algorithm(GA)
to correct weights and thresholds of BP network, then uses
the trained BP network to achieve the non-linear mapping between
the current, flux and rotor position of motor. Simulation results demonstrate
that the genetic algorithm has a significant effect to improve performance
of BP neural network, and improves the detection accuracy,
then achieve indirect position detection of switched reluctance motor.
◁ PFrA-80
Dynamic Path Optimization Method Based on Ant Colony Algorithm and
Group Decision-making, pp.300–304
Huang, Yan Guo
South China Univ. of Tech.
The paper built an urban road network model through analysis of urban
traffic flow characteristics. The minimizing total travel time of vehicle
in the road network was taken as control target, and the dynamic path
model was built. The ant colony algorithm was used to find out the
optimum path from start point to destination by collecting the real-time
traffic information of the road network. Then using the theory of group
decision making, the dynamic path optimization method was put forward.
In this method, the two parameters of distance between adjacent
intersections and section traffic flow saturation which have influence on
the control target was considered, and they were combined with ant
colony algorithm, and the optimal path was gotten through the group
decision making for different results of the algorithm, and the realization
of the optimization method was given. The dynamic path optimization
process of regional network was described by programming with Matlab
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