Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
Based on the sensitivity analysis, pp.2833–2837
Meng, Xiang-zhong
Li, Yanzhao
Liu, Xin-wen
Xie, FangMing
Wang, Qiang
Air Defence Forces Acad.
China Nuclear Power Engineering
Co.,Ltd.,Zhengzhou Branch
Air Defence Forces Acad.
Air Defense Forces Acad.
Air Defense Forces Acad.
The two-wheeled self-balancing vehicle is a typical complex system
with multi-variable, nonlinear and strong coupling, parameter uncertainty
and so on. Therefore, the two-wheeled vehicle is an ideal platform for
testing and learning various control methods. And system sensitivity is
a theory for studying the effect with uncertainty parameters to system
performance. Use the theory, this paper optimizes the important parameter
of the vehicle and analyses the LQR controller .Simulation and
experimental results show that the controller based on sensitivity analysis
is robust.
◁ PFrC-91
Modified Backstepping Control for Time-Delay System of SVC ,
pp.2861–2864
Zhang, Rui
Sun, Li-Ying
Zhang, Bo-Qi
Liaoning Univ. of Tech.
Liaoning Univ. of Tech.
Liaoning Univ. of Tech.
A new modified backstepping approach was suggested for time-delay
system of static var compensator (SVC). The transient stability problem
is studied for a single machine-infinite bus system. In the recursive
design procedure of the feedback control law, the class-k functions
are introduced. The method preserves useful nonlinearities, improves
the transient response of closed-loop system, and effectively
resolves the time-delay problem of response process of static var compensator.
Simulation results of MATLAB expatiate in further verification,
that the actual sample simulated shows the effectiveness of the
proposed method.
◁ PFrC-92
Recursive identification of parameters in the minimum variance control,
pp.2870–2877
Yao, Jie
jingdezhen ceramic insitute
This paper focus on the parameter recursive identification problems in
minimum variance control system from the perspective of identification.
Consider the unknown parameter vector of the ARMAX model in the
minimum variance closed loop control, we propose multi-innovation recursive
least-squares identification method and separable iterative recursive
least-squares identification method to identify and estimate the
unknown parameters vector in the ARMAX model on line. When excited
by the white noise, the two identification methods will give the unbiased
estimation about the unknown parameter vector. When excited by the
color noise, only the separable iterative recursive least-squares identification
method can give the unbiased estimation
◁ PFrC-93
The Predictive Control for Nonlinear systems Based on Dynamic Approximate
Hammerstein model, pp.2887–2890
Hu, Zhiqiang
Heilongjiang Univ.
The generalized predictive control algorithm, it’ s parameter adaptive
recursive predicting is presented for nonlinear discrete-time systems
with heavy delays based on dynamic approximate Hammerstein
model nonlinearization increment minimized recursive predicting model
method. generalized predictive control is employed for nonlinear systems
with heavy delays. the simulation result for several typical nonlinear
systems are given to demonstrate the correctness and effectiveness
of approach proposed.
◁ PFrC-94
Fault Diagnosis of Underwater Vehicle with Neural Network, pp.2931–
2934
WANG, Jianguo
China Ship Development & Design Center
To aim at the character that the uncertainties of the complex system of
underwater vehicle (UV) bring to model the system difficult, a wavelet
neural network (WNN) is proposed to construct the motion model of
UV. The adjustment of the scale factor and shift factor of wavelet and
weights of WNN is studied. The WNN has the ability not only to approach
the whole figure of a function but also to catch detail changes of
the function, which makes the approaching effect preferably. Residuals
are achieved by comparing the output of WNN with the sensor output.
Fault detection rules are distilled from the residuals to execute thruster
fault diagnosis. The feasibility of the method presented is validated by
simulation experiment and sea trial results.
◁ PFrC-95
Design of FDI system for the nonlinear Control System, pp.2935–2938
Zhou, Jing
Zhu, Xun
Jianghan Univ.
jianghan Univ.
Contrary to the parameter-depended uncertainty system, the order of
the linear matrix inequalities is reduced, then the RPRO fault detection
and fault isolated filters are constructed. Then a RPRO fault isolation
filter is designed for occurrence of both actuator fault and sensor fault
in the aerocraft’s closed-loop control system, and fault diagnosis system
is structured based on the fault isolation filters. Through the output
of the fault diagnosis system, we can alarm the fault timely and the
advantages of this approach are highlighted.
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