Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
state accuracy of control output is better, the adaptability of parameters
is extensive. Taking pure sway motion of the rescue ship for example,
rapidity and effectiveness of a proposed multi-mode controller are verified.
◁ PSaB-28
Indirect Adaptive Fuzzy Controller Design for Vertical Direct-driven Servo
System, pp.1953–1957
Xu, Xing
Cai, Tao
Wang, GuangHui
Xu, Zhishu
Beijing Inst. of Tech.
Beijing Inst. of Tech.
Beijing Inst. of Tech.
Beijing Inst. of Tech.
In order to deal with the uncertainties and nonlinearities within a permanent
magnet line synchronous motor (PMLSM) vertical servo system,
such as friction, thrust ripple and external disturbance, an indirect
adaptive fuzzy (IAF) controller designed. The IAF controller comprises
a supervisory controller and an equivalent controller. The supervisory
controller is proved to guarantee the tracking error asymptotically stable
without any requirement on the optimal approximation error (OAE).
Simulation illustrate that the IAF controller can make the servo system
track the reference signal accurately and has good robustness.
◁ PSaB-29
Passivity-Preserving Model Reduction for Descriptor Systems with H ∞
Norm Error Bounds, pp.1958–1963
Wang, Jing -
This paper considers the passivity-preserving model reduction problem
for positive real descriptor systems. The model reduction principle is
presented first, then a sufficient and necessary conditions is provided
to check whether the high-order descriptor systems can be reduced
with preservation of passivity. A model reduction algorithm is provided.
Moreover, the presented method provides an H ∞ norm bound on the
approximation error.
◁ PSaB-30
Simulation Testing Method of V/STOL Flight Control Strategy, pp.1969–
1975
Tian, Ye
He, Yang
Li, Xinyuan
Zhu, Jihong
Tsinghua
Tsinghua
Tsinghua
Tsinghua Univ.
Recently the V/STOL has become the developing direction of future
fighter while the simulation testing method is an important way to s-
elect and optimize V/STOL flight control strategies. According to the
characteristics of the V/STOL flight, this paper proposes three kinds
of control strategies and two kinds of control response-types, designs
a simulation testing method, thereby, analyzes the control strategies
and response-types based on the simulation results. With the standardized
target detection and guidelines, our simulation testing method
provides standard experiments for normal tests of V/STOL flight control
strategy. The contrast of V/STOL flight control strategies can be
implemented by this method. The simulation results show that the new
integrated control strategy, compared with others, provides higher isolation
of operating channel, more stability of flight and smoothness of
modes switching. Under the low-speed circumstance, the Translational
Rate Command widely used in control strategies have the advantages
of flexibility, stability and facility for pilot to achieved accurate positioncontrol.
◁ PSaB-31
The Robust Adaptive Control of Arc Furnace System Based on Backstepping
Method, pp.1987–1992
Liu, Xiao-he
Gao, Nan
Beijing Information Sci. & Tech. Univ.
School of Automation, Beijing Information Sci. &
Tech. Univ.
Three-phase arc furnace system as a kind of typical nonlinear, threephase
strong coupling system which has complex and uncertain disturbance,
traditional control method such as PID is hard to obtain the good
control effect. Robust control is just brought out to deal with system uncertainty,
whose research emphasis is to discuss the resistance of the
system’s certain characteristics or index to some disturbance. This article
in view of the electric arc furnace system’s nonlinear mathematical
model, combining with the feedback linearization output tracking control,
designed index robust adaptive control which based on Backstepping
method. The simulation results show that: the design of the L 2
index robust adaptive controller has better tracking performance and robustness
than PID controller. It proves the correctness of the designed
algorithm from the hardware point of view. Anti-jamming performance
also meets the system control requirements.
◁ PSaB-32
Energy-based Robust Nonlinear Control of Multiple Static Var Compensators
in Power System, pp.1993–1998
Ding, Qingqing
LIU, Yanhong
Li, Jianyong
Tsinghua Univ.
Zhengzhou Univ.
Zhengzhou Univ. of Light Industry
Using the energy-based Hamiltonian function method, this paper investigates
the robust nonlinear control of static var compensators (SVCs)
in power systems with nonlinear loads. First, the uncertain nonlinear d-
ifferential algebraic equation model is constructed for the power system.
Then, the dissipative Hamiltonian realization of the system is completed
by the means of variable transformation and pre-feedback control.
Finally, based on the obtained dissipative Hamiltonian realization, a robust
nonlinear controller is put forward. The proposed controller can
effectively utilizes the internal structure and the energy balance property
of the power system. Simulation results verify the effectiveness of
the control scheme.
◁ PSaB-33
Improved Robust H∞Filtering for Polytopic Delta Operator Systems,
pp.2011–2016
Zhang, Ying
Zhang, Rui
Harbin Inst. of Tech. Shenzhen Graduate School
Chinese Acad. of Sci.
The problem of robust H-infinity filtering for polytopic Delta operator systems
is investigated. The main purpose is to obtain a stable and proper
linear filter such that the filtering error system remains robustly stable
with a prescribed H-infinity attenuation level. Based on the bounded
real lemma, a more efficient evaluation of robust H-infinity performance
can be obtained by a matrix inequality condition which contains additional
free parameters. When applying this new matrix inequality condition
to be the robust filter design, these parameters provide extra degrees
of freedom in optimizing the guaranteed H-infinity performance
and lead to a less-conservative design. A numerical example is included
to illustrate the effectiveness of the proposed approach.
◁ PSaB-34
Robust Nonlinear Model Predictive Control Algorithm Based on Reduced
Precision Solution Criteria, pp.2033–2038
Wan, Jiaona
Zhang, Tiejun
Wang, Kexin
Fang, Xueyi
SHAO, Zhijiang
Research Inst. of Highway ministry of Transport
Research Inst. of Highway, Ministry of Transport
zhejiang Univ.
zhejiang Univ.
Zhejiang Univ.
This paper discusses the robustness of nonlinear model predictive control
(NMPC) based on sub-optimal solution obtained under reduced precision
solution (RPS) criteria. NMPC needs to solve the optimal control
problem (OCP) quickly and the input is injected to the controlled
plant in time. Traditional convergence criteria in optimization algorithms
usually cost excessive long computation time with little improvement
of solution, which results in degradation of control performance eventually.
RPS criteria are new convergence criteria for deciding whether
the current iterate is good enough and whether the optimization procedure
should be terminated. It can terminate the optimization process
timely. This work pays special attention to robustness of the closedloop
system controlled by NMPC with RPS criteria when model plant
mismatch exists. Simulations demonstrate that the proposed algorithm
owns good robustness and stability.
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