15.07.2014 Views

Conference Program of WCICA 2012

Conference Program of WCICA 2012

Conference Program of WCICA 2012

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

◁ PSaA-40<br />

TC on PVTOL, pp.2154–2159<br />

Zhang, Yunfan<br />

Li, Donghai<br />

Lao, Dazhong<br />

Beijing Inst. <strong>of</strong> Tech.<br />

Tsinghua Univ.<br />

Beijing Inst. <strong>of</strong> Tech.<br />

The control <strong>of</strong> the planar vertical take<strong>of</strong>f and landing (PVTOL) aircraft<br />

is a hot research problem. This paper introduces a two-order cascade<br />

Tornambe’s controller(TC) to PVTOL model after change one time,<br />

and then compares with other TC control methods. The simulation<br />

shows that the method <strong>of</strong> this paper also has a good performance on<br />

tracking, disturb rejection and performance robust. Because it has a<br />

simple construction and is easy to adjust parameters, so the method <strong>of</strong><br />

this paper is a control method to select.<br />

◁ PSaA-41<br />

Co-design <strong>of</strong> static quantized scheduling strategy and state feedback<br />

control for networked control systems, pp.2182–2187<br />

Du, Mingli<br />

Zhou, Chuan<br />

Wu, Yifei<br />

Chen, Qingwei<br />

Nanjing Univ. <strong>of</strong> Sci. & Tech.<br />

Nanjing Univ. <strong>of</strong> Sci. & Tech.<br />

Nanjing Univ. <strong>of</strong> Sci. & Tech.<br />

Nanjing Univ. <strong>of</strong> Sci. & Tech.<br />

A co-design scheme <strong>of</strong> static period quantized scheduling and the state<br />

feedback controller for a class <strong>of</strong> networked control system with limited<br />

bandwidth and fixed time delay using mid-tread uniform quantizers is<br />

proposed in this paper. Through allocating bandwidth, the quantized<br />

scheduling strategy and feedback controller design are considered simultaneously.<br />

The quantized measurement signals are dealt with by<br />

utilizing the sector bound method, in which the quantization error is<br />

treated as sector-bounded uncertainty, and the NCS is modeled as a<br />

discrete-time switching system with parameter uncertainties. Based on<br />

the Lyapunov function and period switching system theory, a design<br />

procedure for feedback controller under this strategy is given to maintain<br />

the asymptotic stability <strong>of</strong> closed-loop system.<br />

◁ PSaA-42<br />

Support Vector Machine Generalized Predictive Control for Turboshaft<br />

Engine, pp.2296–2301<br />

Xiao, Lingfei<br />

Zhu, Yue<br />

Nanjing Univ. <strong>of</strong> Aeronautics & Astronautics<br />

Nanjing Agricultural Univ.<br />

Based on support vector machine theory, a generalized predictive controller<br />

is designed for turboshaft engine. Using dynamic response data,<br />

through support vector machine regression, the turboshaft engine nonlinear<br />

model is established. By linearizing the nonlinear model at each<br />

sampling cycle, the prediction model <strong>of</strong> turboshaft engine is constructed.<br />

According to generalized predictive control algorithm, the optimal<br />

control signals are obtained. Simulation results show that the control<br />

system can follow the change <strong>of</strong> collective pitch very well, the speed<br />

<strong>of</strong> power turbine can back to given value fast and possess small overshoot.<br />

◁ PSaA-43<br />

Stock Turning Point Recognition using Multiple Model Algorithm with<br />

Multiple Types <strong>of</strong> Features, pp.4020–4025<br />

Qin, Xiaoyu<br />

Peng, Qinke<br />

Xi’an jiaotong Univ.<br />

Xi’an Jiaotong Univ.<br />

Stock turning point has been playing a significant role in the stock investment<br />

as buying or selling stocks around it can make a good return.<br />

The existing methods recognize the turning points according to different<br />

types <strong>of</strong> features but the effect is not so satisfactory. In this paper, we<br />

firstly build multiple types <strong>of</strong> features what reflect many aspects <strong>of</strong> characteristics<br />

<strong>of</strong> stock and utilize mutual information to partition them into<br />

several subsets. Then we use SVM to train the turning point recognition<br />

model on every feature subset. Finally, we combine the multiple models<br />

into an ensemble and apply Particle Swarm Optimization (PSO) to<br />

optimize the combination coefficients. Experimental results show that<br />

our method is more effective.<br />

◁ PSaA-44<br />

Improvement and application <strong>of</strong> the Delphi method, pp.4026–4029<br />

Ji, Wen<br />

Wang, Jianhui<br />

Fang, Xiaoke<br />

Gu, Shusheng<br />

Northeastern Univ.<br />

Northeastern Univ.<br />

Northeastern Univ.<br />

Northeastern Univ., China<br />

In view <strong>of</strong> extreme points <strong>of</strong> the Delphi method, this paper introduces<br />

the penalty factor to improve it and overcome the influence <strong>of</strong> subjective<br />

factors. Then, it applies the improved Delphi method to determine<br />

weight factor <strong>of</strong> stroke rehabilitation evaluation indicator in the context<br />

<strong>of</strong> stroke rehabilitation evaluation system. Simulation results show the<br />

effectiveness <strong>of</strong> the improved method.<br />

◁ PSaA-45<br />

A Study on the System Structure <strong>of</strong> Multi-UCAV Cooperation Mission<br />

Planning, pp.4030–4034<br />

Ye, Wen<br />

Naval Aeronautical & Astronautical Univ<br />

Mission planning for multi-UCAV cooperation is one <strong>of</strong> the keys to<br />

take the advantages <strong>of</strong> multiple UCAVs combating cooperatively and<br />

to maintain harmonies between the mission complexities and UCAV a-<br />

bilities. A distributed and concentrated composite architecture <strong>of</strong> multi-<br />

UCAV cooperation mission planning system was constructed. Based<br />

on the analysis <strong>of</strong> the cooperative UCAVs mission hierarchy, a hierarchical<br />

and iterative mission planning frame was introduced. The logic<br />

architecture <strong>of</strong> multi-UCAV cooperation mission planning system was<br />

put forward, and two key sub-problems, that is mission assignment and<br />

path planning, were analyzed.<br />

◁ PSaA-46<br />

Design and Development <strong>of</strong> the Encoding S<strong>of</strong>tware in the Identification<br />

System <strong>of</strong> the Hydropower Plant, pp.4035–4039<br />

GUO, Jiang<br />

Feng, Zhihui<br />

Gu, Kaikai<br />

Bai, Weimin<br />

Zeng, Bing<br />

Liu, Yajin<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Abstract―With the development <strong>of</strong> power industry, power plants have<br />

been expanding. So in the planning and design, construction and operation<br />

stages, there is a wealth <strong>of</strong> information produced. However, the<br />

information management in all power plants are all complex and not<br />

standardized, which make the management’s work very inconvenient,<br />

and that include all system, equipments and etc. In order to achieve<br />

the standardization and intelligent management, hydropower industry is<br />

placing more importance on the ERP implementation,while the core<br />

foundation data <strong>of</strong> the ERP system are from the device code. On the<br />

basis <strong>of</strong> a comprehensive study <strong>of</strong> domestic and foreign industrial applications,<br />

building the encoding s<strong>of</strong>tware in the identification system <strong>of</strong><br />

hydropower plant has been studied and corresponding design and instances<br />

<strong>of</strong> system are given. This paper studies achieves the management<br />

<strong>of</strong> the power plant information code and laid a stable foundation<br />

for the implementation <strong>of</strong> the ERP project.<br />

◁ PSaA-47<br />

Life Cycle Management Support System <strong>of</strong> Nuclear Power Plant Based<br />

on Economic Analysis, pp.4040–4044<br />

GUO, Jiang<br />

Gu, Kaikai<br />

Feng, Zhihui<br />

Zeng, Bing<br />

Bai, Weimin<br />

Liu, Yajin<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Wuhan Univ.<br />

Nuclear power around the world has shifted to expand the lifetime <strong>of</strong><br />

nuclear power plant as long as possible on the condition <strong>of</strong> safety and<br />

reliability instead <strong>of</strong> constructing new ones. In order to achieve the<br />

goal <strong>of</strong> life extension, the nuclear power plant all attach great importance<br />

to the life cycle management <strong>of</strong> critical equipment. LEA is a core<br />

<strong>of</strong> the life cycle management <strong>of</strong> critical equipment and an analysis s-<br />

trategy to improve the usability <strong>of</strong> critical equipment and achieve the<br />

maximization <strong>of</strong> life value and long period <strong>of</strong> revenue through optimiz-<br />

172

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!