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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), suf&#64257;cient consensus criteria <strong>of</strong> the heterogenous<br />

multi-agent systems with exogenous disturbances are presented for<br />

with &#64257;xed 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 veri&#64257;ed 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 />

220

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