Conference Program of WCICA 2012
Conference Program of WCICA 2012
Conference Program of WCICA 2012
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<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />
so the main disturbances are found. Then a non-linear disturbance<br />
observer (NDO) is presented to estimate and compensate the main<br />
disturbances. Finally, DIC based on NDO is designed, which is a compound<br />
<strong>of</strong> DIC and NDO. And simulation studies show that the controller<br />
based on NDO is robust and meets the performance requirements in<br />
presence <strong>of</strong> disturbances and uncertainties.<br />
◮ SuB07-4 17:10–17:30<br />
Tracking Trajectory <strong>of</strong> Heterogenous Multi-Agent Systems with Disturbance<br />
Observer Based Control, pp.2352–2357<br />
Yang, Hong-yong<br />
Guo, Lei<br />
Han, Chao<br />
Ludong Univ.<br />
Beihang Univ.<br />
BeiHang Univ.<br />
In this paper, the multi-agent systems are composed <strong>of</strong> two class<br />
different agents, one parts are supposed to moving on the double<br />
integrator dynamics, the other parts are driven by the single integrator<br />
dynamics. By applying the disturbance observer based control<br />
(DOBC), sufficient consensus criteria <strong>of</strong> the heterogenous<br />
multi-agent systems with exogenous disturbances are presented for<br />
with fixed topologies and switching topologies. A pinning control<br />
strategy is designed for a part <strong>of</strong> agents <strong>of</strong> the systems, and this<br />
pinning control can bring the states <strong>of</strong> multi-agent systems to an expected<br />
consensus track. Finally, the consensus <strong>of</strong> multi-agent systems<br />
with exogenous disturbances is verified by an example <strong>of</strong> four<br />
multi-agent systems.<br />
◮ SuB07-5 17:30–17:50<br />
Active Disturbance Rejection Control for the Gimbal Servo System <strong>of</strong><br />
Magnetically Suspended Single Gimbal Control Momentum Gyroscope,<br />
pp.2865–2869<br />
Wei, Kongming<br />
Wu, Zhong<br />
Beijing Univ. <strong>of</strong> Aeronautics & Astronautics<br />
Beijing Univ. <strong>of</strong> Aeronautics & Astronautics<br />
To improve the accuracy <strong>of</strong> the output torque, maintain high precision<br />
attitude control and ensure the safe operation <strong>of</strong> the magnetically suspended<br />
bearing, the gimbal servo system <strong>of</strong> Magnetically Suspended<br />
Single Gimbal Control Momentum Gyroscope(MS-SGCMG) must have<br />
high control performance and reject the disturbance well. A novel Active<br />
Disturbance Rejection Control(ADRC) controller is designed to meet<br />
these requirements. The controller can cancel the disturbance by observing<br />
the output and relax the impulse brought by the sharp change<br />
<strong>of</strong> the gimbal command. A new method, based on observer, for resolving<br />
the resolver is introduced. The resolving process can be merged<br />
in the observing <strong>of</strong> the state <strong>of</strong> the servo system, which simplifies the<br />
controller. The experiment results show than the controller obtains high<br />
accuracy without overshoot and compensates the disturbance distinctly.<br />
SuB08 15:50–17:50 Room 310<br />
Biomedical Engineering<br />
Chair: Wang, Jiang<br />
Co-Chair: LI, Baopu<br />
Tianjin Univ.<br />
The Chinese Univ. <strong>of</strong> Hong Kong<br />
◮ SuB08-1 15:50–16:10<br />
Aeration control <strong>of</strong> activated sludge wastewater treatment process using<br />
optimal control, pp.4969–4973<br />
Wu, Jie<br />
East China Univ. <strong>of</strong> Sci. & technoledge<br />
In order to reduce energy consumption <strong>of</strong> aeration processes, an optimal<br />
control was studied. Simplified model <strong>of</strong> aeration system was built<br />
according to Activated Sludge Model No.1 (ASM1) presented by International<br />
Association on Water Quality (IAWQ), then the optimal control<br />
strategy based on reduced-order observer was brought forward for<br />
the aeration system. The proposed optimal control strategy was implemented<br />
on a benchmark wastewater treatment process-Benchmark<br />
Simulation Model 1(BSM1). Compared with PID control strategy recommended<br />
in benchmark, using the proposed control strategy, the effluent<br />
water quality and the time <strong>of</strong> effluent water quality exceeding<br />
the discharge standard <strong>of</strong> BSM1 are more stable, while more than 4%<br />
aeration energy is saved.<br />
◮ SuB08-2 16:10–16:30<br />
UKF-based state feedback control <strong>of</strong> abnormal neural oscillations in<br />
demyelination symptom, pp.4984–4988<br />
Jin, Qitao<br />
Wang, Jiang<br />
Li, Huiyan<br />
Deng, Bin<br />
Wei, Xile<br />
Che, Yan-Qiu<br />
Dong, Feng<br />
Tianjin Univ.<br />
Tianjin Univ.<br />
Tianjin Univ. <strong>of</strong> Tech. & Education<br />
tianjin Univ.<br />
Tianjin Univ.<br />
Tianjin Univ. <strong>of</strong> Tech. & Education<br />
Tianjin Univ.<br />
Fast axonal conduction <strong>of</strong> action potentials in mammals relies on myelin<br />
insulation. Demyelination can cause slowed, blocked, desynchronized,<br />
or paradoxically excessive spiking that underlies the symptoms observed<br />
in demyelination diseases. Feedback control via functional electrical<br />
stimulation (FES) seems to be a promising treatment modality in<br />
such diseases. However, there are challenges to implementing such<br />
method for neurons: high nonlinearity, biological tissue constrains and<br />
unobservable ion channel states. To address this problem, we propose<br />
an estimating and tracking control strategy for systems based on<br />
Kalman filter, in order to enhance the action potential propagation reliability<br />
<strong>of</strong> demyelinated neuron via FES. Our method could promote the<br />
design <strong>of</strong> new closed-loop electrical stimulation systems for patients<br />
suffering from different nerve system dysfunctions.<br />
◮ SuB08-3 16:30–16:50<br />
Research on digital pulse oximeter based on optical frequency converter,<br />
pp.5056–5060<br />
Ni, Pingqiang<br />
LI, Baopu<br />
Chinese Acad. <strong>of</strong> Sci.<br />
The Chinese Univ. <strong>of</strong> Hong Kong<br />
This paper specifically describes the design <strong>of</strong> hardware and s<strong>of</strong>tware<br />
<strong>of</strong> a digital pulse oximeter based on ARM core embedded system and<br />
light-frequency converter. In this study, a light-frequency converter instead<br />
<strong>of</strong> a photodiode was adopted to receive the light transmitting,<br />
which greatly simplified the design <strong>of</strong> hardware. Besides, traditional<br />
methods <strong>of</strong> calculate frequency <strong>of</strong> rectangle signal were improved and<br />
an algorithm with stable sampling rate and high resolution was proposed.<br />
Based on the filtering and detecting methods <strong>of</strong> the pulse signal,<br />
the baseline drift and the noise on high frequency were successfully removed<br />
by applying integer coefficient filter. A detecting algorithm based<br />
on difference and threshold was proposed, and the future points <strong>of</strong> the<br />
signal can be extracted effectively. The result shows that this oximeter<br />
can overcome usual noise, the s<strong>of</strong>tware is very flexible and simple in<br />
structure.<br />
◮ SuB08-4 16:50–17:10<br />
Synchronization between Outputs <strong>of</strong> Neurons and Neuron Populations<br />
with Discrete Control Algorithm Basing on Least-square Method,<br />
pp.5001–5006<br />
Jia, Chenhui<br />
Wang, Jiang<br />
Deng, Bin<br />
Wei, Xile<br />
Che, Yan-Qiu<br />
Dong, Feng<br />
Tianjin Univ.<br />
Tianjin Univ.<br />
tianjin Univ.<br />
Tianjin Univ.<br />
Tianjin Univ. <strong>of</strong> Tech. & Education<br />
Tianjin Univ.<br />
As a new method on curing mental diseases, Deep Brain Stimulation<br />
(DBS) gives great help to patients who do not respond to drug therapies.<br />
However, most <strong>of</strong> the DBS therapies used at present are using<br />
high-frequency signals as open-loop stimulating signals, whose mechanism<br />
is not sufficiently understood. In this paper, basing on the synchronization<br />
mechanism and the close-loop stability theory, we have<br />
designed a close-loop method to propose a potential therapy for curing<br />
mental diseases with deep brain stimulation. Through reconstruct<br />
the input-output dynamics with least square method, we can use a new<br />
regressive input-output model to describe the relationship between the<br />
input and output <strong>of</strong> the abnormal neuron population. Using the parameters<br />
estimated in the regressive model, we can design a set <strong>of</strong> DBS<br />
signals to make the output <strong>of</strong> abnormal neuron population accurately<br />
track the desired output signal. The method is robust and can be ap-<br />
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