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Conference Program of WCICA 2012

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

<strong>of</strong> hydroelectric process. For the different object to build different fineness<br />

<strong>of</strong> model, this paper uses multi-scale modeling approach and rational<br />

scheduling mechanism to realize optimal operation <strong>of</strong> simulation,<br />

as well as designing the real-time enhanced program on a LINUX system.<br />

By comparison with the <strong>of</strong>f-line system simulation <strong>of</strong> SIMULINK,<br />

the results show that the system is fully capable to meet the requirement<br />

<strong>of</strong> hydraulic turbine governing system on real-time, reflecting the<br />

advantages <strong>of</strong> real-time continuous simulation.<br />

◁ PFrA-27<br />

Periodicity Analysis <strong>of</strong> Uncertain Neural Networks With Multiple Time-<br />

Varying Delays, pp.174–179<br />

Lou, Xuyang<br />

Ye, Qian<br />

Feng, Wei<br />

Cui, Baotong<br />

Jiangnan Univ.<br />

Jiangnan Univ.<br />

Jiangnan Univ.<br />

Jiangnan Univ.<br />

The problem <strong>of</strong> global robust periodicity is studied for a class <strong>of</strong> neural<br />

networks with norm-bounded parameter uncertainties and multiple<br />

time-varying delays. Some linear matrix inequality (LMI) representations<br />

<strong>of</strong> delay-dependent periodicity criteria guaranteeing the existence,<br />

uniqueness and global asymptotic stability <strong>of</strong> periodic solution for all admissible<br />

parametric uncertainties are presented. The proposed method<br />

is based on the S-procedure and an extended integral inequality which<br />

can be deduced from the well known Leibniz-Newton formula and the<br />

Moon’s inequality. The results extend some models reported in the<br />

literature and improve conservativeness <strong>of</strong> those in the case that the<br />

derivative <strong>of</strong> the time-varying delay is assumed to be less than one.<br />

◁ PFrA-28<br />

Solar Sail Trajectory Optimization Based on Improved Imperialist Competitive<br />

Algorithm, pp.191–195<br />

WANG, Yong<br />

Zhu, Min<br />

WEI, Yiheng<br />

Zhang, Yang<br />

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

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

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

Shanghai Inst. <strong>of</strong> Satellite Engineering<br />

In this paper we discuss the minimum-time orbit transfers <strong>of</strong> solar sail<br />

spacecraft for Mercury sample return missions using solar radiation<br />

pressure. In order to find the minimum-time trajectory transfers, the<br />

optimal pitch angle <strong>of</strong> the solar sail has to be determined. We transform<br />

the optimal control problem to parameterized nonlinear programming<br />

problem by using the direct shooting method. Then, the improved imperialist<br />

competitive algorithm is used to optimize the pitch angle and the<br />

transfer time <strong>of</strong> the solar sail. Thus, we can obtain the optimal transfer<br />

trajectory according to the sail’s orbital dynamics. Furthermore,<br />

transfers from the Earth orbit to Mercury and from the Mercury orbit to<br />

Earth <strong>of</strong> the solar sail is simulated, the results show that it meets the<br />

orbit terminal constraints well and the results in this paper are better<br />

than the existing results.<br />

◁ PFrA-29<br />

Indirect Adaptive Fuzzy Sliding Mode Control for Uncertain Multi-link<br />

Robots, pp.199–203<br />

Mu, Xiaojiang<br />

Ge, Li<br />

shenzhen Inst. <strong>of</strong> information Tech.<br />

Shenzhen Inst. <strong>of</strong> Information Tech.<br />

An indirect adaptive fuzzy sliding mode controller is presented for trajectory<br />

tracking control <strong>of</strong> uncertain multi-link robots. This approach<br />

combines adaptive fuzzy control and global fast sliding mode control,<br />

and adopts a global fast sliding mode manifold which can drive system<br />

to reach balance point in finite time. Three fuzzy systems are designed<br />

to learn the uncertain robot parameters and external disturbances. So<br />

the control system can automatically track the robot parameters and<br />

disturbances, and reduces chattering <strong>of</strong> the controller. Prediction estimation<br />

for robot parameters and disturbances is not needed too. The<br />

control speed is quickened by simplifying the robot structure and decreasing<br />

learning parameters <strong>of</strong> the uncertain robot. Moreover, the system<br />

stability is proved by Lyapunov principle. Simulation results verify<br />

the validity <strong>of</strong> the control scheme.<br />

◁ PFrA-30<br />

Fuzzy Control for Hyperchaotic Systems via Nonuniform Sampling Approach,<br />

pp.214–219<br />

Yang, Dedong<br />

Wang, Jinhuan<br />

Sun, Hexu<br />

Yang, Peng<br />

Hebei Univ. <strong>of</strong> Tech.<br />

Hebei Univ. <strong>of</strong> Tech.<br />

Hebei Univ. <strong>of</strong> Tech.<br />

Heibei Univ. <strong>of</strong> Tech.<br />

In this paper, the stabilization problem for the hyperchaotic Chen system<br />

is investigated via nonuniform sampling approach. First, the hyperchaotic<br />

Chen system is represented by the Takagi–Sugeno (T–S)<br />

fuzzy model via the sector nonlinearity approach. Second, utilizing the<br />

descriptor model transformation and the input delay approach, an e-<br />

quivalent continuous-time generalized form is obtained and sufficient<br />

conditions for the existence <strong>of</strong> state feedback controller are derived in<br />

terms <strong>of</strong> linear matrix inequities (LMIs), which guarantee the asymptotic<br />

stability for the controlled closed-loop system. Lastly, simulation results<br />

are given to show the validity <strong>of</strong> the present scheme.<br />

◁ PFrA-31<br />

Identification and Prediction <strong>of</strong> Nonlinear Multi-parameter Based on<br />

Least Squares Support Vector Machine, pp.224–228<br />

Hou, Yuan-bin<br />

Li, Ning<br />

Xi’an Univ. <strong>of</strong> Sci. & Tech.<br />

Xi’an Univ. <strong>of</strong> Sci. & Tech.<br />

The circulating fluidized bed boiler is key equipment in intrinsically safe<br />

coal gangue power generation, after analyzing <strong>of</strong> the typical fault and<br />

hidden fault <strong>of</strong> main components <strong>of</strong> boiler system, as well as the treating<br />

methods, directed towards the nonlinear characteristics <strong>of</strong> the oxygen<br />

content <strong>of</strong> flue gas <strong>of</strong> the induced draft fan has many factors influence,<br />

a method based on least squares support vector machine (LS-SVM)<br />

used in flue gas oxygen content model recognition is proposed. the<br />

measured crucial parameter <strong>of</strong> influence the stable operation <strong>of</strong> the<br />

boiler are used to identification and prediction, including the oxygen<br />

content <strong>of</strong> the flue gas, coal gangue flow and material return pressure<br />

imitation, as the results show that this method has higher precision (<br />

the error is less than 6‰); Compared with general SVM, this method<br />

reduces the complexity <strong>of</strong> the calculation<br />

◁ PFrA-32<br />

Complex Dynamical Behaviors Analysis <strong>of</strong> a Voltage-controlled Memristive<br />

System, pp.239–244<br />

Sun, Junwei<br />

Shen, Yi<br />

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

Huazhong Univ. <strong>of</strong> Sci. & Tech., China<br />

The contribution is concerned on structural properties and general features<br />

<strong>of</strong> the new ideal circuit element, a memristor. The previous memristive<br />

system is only focused on the voltage versus current curves with<br />

increasing frequency <strong>of</strong> the alternating voltage source. The paper extends<br />

the notion <strong>of</strong> the voltage versus current curves to the resistance<br />

versus current curves and the voltage versus resistance curves, and<br />

those which are influenced by the initial conditions, frequency, voltage,<br />

a and b, and input excitation. The paper has emulated by MATLAB,<br />

more comprehensive and systematic analyzes and obtains a lot <strong>of</strong> the<br />

new characteristics <strong>of</strong> memristive system and important information.<br />

◁ PFrA-33<br />

Design and Simulation for Dual-Stage Actuator Systems with Multi-rate<br />

and Friction Compensation Controller, pp.245–250<br />

Wei, Dongfang<br />

Yang, Jun<br />

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

Engineering Research Center <strong>of</strong> Metallurgical<br />

Automation & Measurement Tech.,Ministry <strong>of</strong><br />

EducationInsitution<br />

This paper studies the structure and model <strong>of</strong> a dual-stage actuator (D-<br />

SA) control system. A multi-rate controller with friction compensation is<br />

designed to reduce the computational load, which will greatly improve<br />

the system’s performance. The dual-stage actuator(DSA)control system<br />

consists <strong>of</strong> a linear motor and a piezoelectric actuator. By combining<br />

the system with properly designed control method, the two actuators<br />

are complementary to each other, so that the system can achieve<br />

fast response and high precision to meet the requirements in industry.<br />

The multi-rate control law can decrease the computational load with a<br />

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