Conference Program of WCICA 2012

Conference Program WCICA 2012
the clutch and the engine stall avoidance. Simulation results show the
good performance obtained with the proposed controller.
◮ SaA03-2 13:50–14:10
Adaptive dynamic friction compensation control of electrohydraulic servo
system, pp.1682–1687
Guo, Jing
Yang, Jizhi
Beijing Inst. of Aerospace Testing Tech.
Beijing Inst. of Aerospace Testing Tech.
Low-speed performance and tracking accuracy of simulator’s electrohydraulic
servo system are effected by its nonlinear friction torque.
Adaptive dynamic friction compensation control strategy with nonlinear
observers of electrohydraulic servo system is proposed by building dynamic
equations and LuGre friction model. The strategy can modify
dynamic friction parameters constantly of servo system to compensate
friction and improve low-speed performance by on-line adaptive rate.
The effectiveness and superiority of the strategy are verified by comparing
with feed-forward friction compensation control method.
◮ SaA03-3 14:10–14:30
Adaptive Simultaneous Stabilization of Two Port-Controlled Hamiltonian
Systems Subject to Actuator Saturation, pp.1767–1772
Wei, Airong
Wang, Yuzhen
Hu, Xiaoming
shandong uniersity
Shandong Univ.
Royal Inst. of Tech.
This paper investigates the adaptive parallel simultaneous stabilization
(APSS) of two multi-input nonlinear Port-Controlled Hamiltonian (PCH)
systems subject to actuator saturation, and proposes a number of results
on the design of the APSS controllers. Using both the dissipative
Hamiltonian structural and saturated actuator properties, the two systems
are combined to generate an augmented PCH system subject to
actuator saturation, with which some results on the control designs are
then obtained. Study of an illustrative example with simulations shows
that the APSS controller obtained in this paper is effective.
◮ SaA03-4 14:30–14:50
The adaptive fuzzy PID control study of active vibration isolation system,
pp.1120–1123
Lin, Yan
Liu, Wending
Beijing Forestry Univ.
Beijing Forestry Univ.
With the development of space technology, the adverse effects to the
spacecraft payload caused by the inevitable vibration from electromechanical
system become increasingly prominent. To effectively reduce
low frequency vibration, this paper presents a design scheme which
takes voice coil motor servo system as active actuator of vibration isolation
platform, and for the actual vibration isolation system, it is not
possible to establish a precise mathematical model, so the combination
of adaptive fuzzy control and PID control are applied to the active
vibration isolation system based on voice coil motor. Simulation results
show that the self-adaptive fuzzy PID control system has a good
stability and anti-jamming capabilities, could isolate external vibration
interference in a very wide frequency range, provides new and reasonable
control ideas for the complex conditions and high index of control
systems.
◮ SaA03-5 14:50–15:10
Iterative learning control for linear switched systems with arbitrary
switched rules, pp.1182–1187
Bu, Xuhui
Yu, Fashan
Hou, Zhongsheng
School of Electrical Engineering & Automation
Henan Polytechnic Univ.
Beijing Jiaotong Univ.
In this paper, the problem of iterative learning control for a class of linear
discrete-time switched systems with arbitrary switched rules is considered.
It is assume that the considered switched systems are operated
during a finite time interval repetitively, and then the iterative learning
control scheme can be introduced. It is also shown that under some
given conditions, the D-type iterative learning control law can guarantee
the asymptotic convergence of the output error between the desired
output and the actual output for the entire time interval through the iterative
learning process. An example is given to illustrate the effectiveness
of the proposed approach.
◮ SaA03-6 15:10–15:30
Iterative Learning Control Based on Modified Steepest Descent Control
For OutputTracking of Nonlinear Non-minimum PhaseSystems,
pp.1361–1366
Naiborhu, Janson
Institut Teknologi Bandung
Iterative learning control (ILC) refers to a class of self-tuning controllers
where the system performance of a specified task is gradually improved
or perfected based on the previous performance of identical tasks. In
this paper, based on the modified steepest descent control we proposed
the iterative learning control algorithm for nonlinear nonminimum
phase system. By applying the modified steepest descent control we
have the extended system with relative degree greater one than original
systems. By extending result of Gosh, cs [1], the convergence of
algorithm is guaranteed.
SaA04 13:30–15:30 Room 203D
Systems Engineering and Engineering Optimization
Chair: Jia, Qing-Shan
Co-Chair: Bai, Danyu
Tsinghua Univ.
Shenyang Unniversity of Chemical Tech.
◮ SaA04-1 13:30–13:50
New Approximation Algorithms for Two-machine Flow Shop Total Completion
Time Problem, pp.2388–2392
Bai, Danyu
Shenyang Unniversity of Chemical Tech.
This paper considers the two-machine flow shop scheduling problem to
minimize the sum of completion times. We design two heuristic algorithms,
Triangle Shortest Pro-cessing Time first (T-SPT) and Dynamic
Triangle Shortest Processing Time first (DT-SPT), for F2——ΣCj and
F2—rj—ΣCj respectively. Moreover, for the further evaluation of the
heuristics numerically, two new lower bounds with performance guarantee
are provided for F2——ΣCj and F2—rj—ΣCj, respectively. At
the end of the paper, a series of simulation experiments are conducted
to show the effectiveness of the new heuristics.
◮ SaA04-2 13:50–14:10
Optimal Scheduling of Storage Devices for Building Energy Saving,
pp.2393–2398
Xu, Zhanbo
Jia, Qing-Shan
Guan, Xiaohong
Wu, Jiang
Wang, Dai
Chen, Siyun
Xi’an Jiaotong Univ.
Tsinghua Univ.
Xi’an Jiao Tong Univ.
Xi’an Jiaotong Univ.
Xi’an Jiaotong Univ.
Xi’an Jiaotong Univ.
An intelligent building energy system which has power grid, autonomous
generators, renewable energy resources, storage devices,
and controllable loads has been proposed. In this paper, we consider
an allocation and scheduling problem of electrical and thermal storage
devices together with other devices in building energy system to
minimize the overall cost while satisfying the occupants demand. The
above problem is formulated as mixed integer programming problem.
The CPLEX solver is used to solve the proposed problem. By the proposed
method, we can fix the types of storage devices and allocate the
capacity of the fixed storage devices with demand profiles and their investment
cost. The analysis of storage devices is demonstrated using
numerical cases.
◮ SaA04-3 14:10–14:30
Optimal DTC Strategy of PMSM in Electric Vehicle, pp.2447–2451
Zhai, Li
Beijing Inst. of Tech.
The optimal strategies for torque ripple restraint of direct torque control(DTC)
strategy of Permanent magnet synchronous motor(PMSM) in
low-speed of electric vehicle are studied in the paper. The subdivision
of voltage vector control strategy and seven-stage hysteresis comparator
control strategy are proposed to restrain torque ripple. The optimal
DTC strategies models for PMSM are established and simulated in the
MATLAB/Simulink. The simulation results are gained to verify effectiveness
of the optimal strategies
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