Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
Li, Yani
Inner Mongolia Univ.
This paper mainly represents the Fuzzy-PID control in gas heating furnace
gas supply control system. The program make fuzzy control and
the conventional PID control together, using coordinate factor online to
determine the flow of gas, the scheme with fuzzy control and the conventional
PID control advantages to suppress interference and noise
and improve quality control system is effective, especially the control
method is simple and the required control short calculation time, can
satisfy the requirement of real-time control. The system has been put
into operation . It has the dynamic response good and stability higher
characteristic have high practical value and value of popularization.
◁ PFrB-93
Application on Non-destructive Inspection of Terahertz Wave, pp.1570–
1573
Yan, Fang
Univ. Of Sci. & Tech. Of The Inner Mongol
With the progress of the terahertz (THz) radiation source, detectors and
system technology, Non-Destructive testing (NDT) based on the THz
are possible. Because terahertz radiation is Transparent in the most
of dielectric,the NDT based on the THz has great potential on inspecting
the hidden defects of conductive materials. This paper reviews the
application of terahertz radiation in NDT. The basic principle and characteristics
of terahertz NDT are summarized, and the latest advancements
in applied and theoretical researches about terahertz NDT are
presented.
◁ PFrB-94
Inverse Kinematics Solution of Deep Space Probes Mast and Windsurfing,
pp.1580–1584
Song, Pei
Ju, Hehua
Li, Hui
Beijing Univ. Of Tech.
Beijing Univ. of Tech.
Beijing Univ. Of Tech.
This paper describes an approach of inverse kinematic control for solar
wings, data transmission antenna. Based on the structure characteristic
of detector, we can describe the best point direction of solar wings
and data transmission antenna effectively. They finished the judgment
of requirements for different working modes and calculation of sustained
time and energy combining with ephemeris calculations and environment
preferment system, finished the description of performance
cost for the heuristic optimization of detector mission planning.
◁ PFrB-95
Research on PID Control Technique for Chaotic Ship Steering based on
Dynamic Chaos Particle Swarm Optimization Algorithm, pp.1639–1643
Huang, Qian
Dalian Naval Acad.
For the difficulty of tuning the PID controller parameter to control a complex
chaotic system, in order to overcome the shortage of basic particle
swarm optimization, this paper improves the inertia weight and introduces
the uncontrolled chaotic system into the PSO algorithm, proposes
the improved dynamic chaos particle swarm optimization algorithm.
This paper applies the algorithm to the chaos PID controller parameter
optimization and takes a simulation study on the PID control method
for the chaotic ship steering control, the results show that the controller
parameter optimized by the proposed method can quickly stabilize the
chaotic system to fixed point, and the control effect is obvious.
Chair: Li, Shaoyuan
Co-Chair: Zhao, Qianchuan
Poster Session PFrC
July 6, 16:30-17:50
Shanghai Jiao Tong Univ.
Tsinghua Univ.
◁ PFrC-01
Particle-swarm optimization algorithm for model predictive control of MI-
MO with constraints, pp.2576–2581
Wang, Shubin
LUO, Xiong-lin
China Univ. of Petroleum, Beijing
China Univ. of Petroleum
The constraints of output variables, input variables and intermediate
variables exist widely in chemical process control. The inconsistency in
different constraints may make constrained model predictive controller
have no feasible solutions, which will bring harmful effect to practical
production. To ensure the implementation of model predictive control,
using its global optimization performance and constraint handling
mechanism, a new particle-swarm optimization algorithm with the function
of constraint handling, was proposed in this article. Taking into
account the form of constraints and the constraints characteristics of
MIMO (multi-input multi-output) predictive control system, this thesis,
based on convex polyhedron geometry, discuss the feasibility of constrained
model predictive control. Combined with duality theorem, the
output constraints of system are transformed into constraints of input.
After that, the constraints form which meets the requirements of control
algorithm is obtained. Finally, particle swarm optimization algorithm is
used to conduct the optimization of predictive control system. The simulation
results of MIMO model with constraints showed the advantages
and effectiveness of this algorithm.
◁ PFrC-02
Dynamic Optimization of Polymer Flooding for High-salinity Reservoir
Based on Maximum Principle, pp.2601–2606
Lei, Yang
Li, Shurong
Zhang, Xiaodong
Guo, Lanlei
China Univ. of Petroleum
China Univ. of Petroleum(East China)
China Univ. of Petroleum(East China)
Sinopec Shengli Oilfield Company
Polymer flooding for high-salinity reservoir is one of the most important
technologies for enhanced oil recovery (EOR). In this paper, an optimal
control problem (OCP) of a distributed parameter system (DPS) is
established, in which the functional of performance index is profit maximum
and the governing equations are the fluid equations in porous
media. The control variables are chosen as the polymer concentrations.
The constraint conditions include boundary constraints and other
inequality constraints. To cope with this OCP of DPS, the necessary
conditions for optimality are obtained through application of Pontryagin’
s maximum principle. A gradient method is proposed for the computation
of optimal injection strategies. The numerical results of an example
for high-salinity reservoir illustrate the effectiveness of the proposed
method.
◁ PFrC-03
Numerical Solution to Optimal Control of Switched Systems with Statedependent
Switchings, pp.2788–2793
Ji, Qin
Song, Chunyue
Zhejiang Univ.
Zhejiang Univ.
Given the fixed order of subsystems, the numerical solution to the optimal
control of switched systems with state-dependent switchings and
control constraints is explored. For the optimal control problem, when
solving numerical solution by control vector parameterization based algorithm,
a singular Jacobian problem is encountered in the process of
solving ordinary differential equations (ODEs) with multi-point boundary
value. In order to avoid the problem, an improved numerical algorithm
is proposed in the paper, and the numerical solution can be obtained
through the algorithm. Moreover, to find a global optimal solution, the
filled function method is first adopted in such optimization problem. Numerical
examples testify to the effectiveness of the proposed approach.
◁ PFrC-04
Fuzzy Guaranteed Cost Control for a Class of Nonlinear Systems via
Observer-based Output Feedback, pp.2582–2587
He, Guannan
Ji, Jing
Beijing Univ. of Chemical Tech.
Inst. of Automation, Chinese Acad. of Sci.
In this paper, we consider the problem of guaranteed cost control for a
class of nonlinear systems. Firstly, a Takagi-Sugeno (T-S) fuzzy model
is employed to approximate the nonlinear dynamic system subject
to external disturbance and measurement noise. Next, based on the
fuzzy model, the fuzzy observer-based controller is developed with the
guaranteed cost performance. In order to minimize the cost function,
sufficient condition for the existence of model reference tracking output
feedback controller is derived in terms of linear matrix inequalities
(LMIs), which can be solved using the convex optimization techniques.
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