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 />
manipulator are concerned. To get a closer dynamic behavior <strong>of</strong> the real<br />
system, both the flexible manipulator linkage and the actuator dynamics<br />
are considered. The exact dynamic model <strong>of</strong> flexible manipulator is derived<br />
using Lagrange principle and assumed modes method. The partial<br />
decoupled dynamic equation is derived using nonlinear decoupling<br />
feedback control method. The whole dynamic model is established by a<br />
driven Jacobin matrix, which represents the coupling between hydraulic<br />
servo system and mechanical system. A variable structure controller<br />
with inverse dynamics is designed for trajectory tracking. To weaken<br />
the chattering <strong>of</strong> control signal, saturation function is used to instead <strong>of</strong><br />
sign function. The experimental results investigate the effectiveness <strong>of</strong><br />
the proposed approaches.<br />
◮ FrB07-2 16:10–16:30<br />
Data Acquisition and Processing <strong>of</strong> the Onboard Sensor System <strong>of</strong> a<br />
Quadrotor Unmanned Aerial Vehicle, pp.3705–3710<br />
Guo, Fang<br />
Xian, Bin<br />
Li, Haotao<br />
Huang, Guoping<br />
Zhao, Tingting<br />
tianjin Univ.<br />
Tianjin Univ.<br />
Tianjin Univ.<br />
automation<br />
Tianjin Univ.<br />
In recent years, quadrotor helicopter has become a hotspot <strong>of</strong> the research<br />
about unmanned aerial vehicles (UAVs). The data acquisition <strong>of</strong><br />
the vehicle’s attitude and position in real time is important to achieve<br />
autonomous flight control for quadrotor UAVs. In this paper, an ARM<br />
embedded system is employed as the main controller, and an attitude<br />
heading reference system (AHRS) is utilized as the main onboard sensor.<br />
By using C++ programming under Linux operation system, the<br />
data acquisition and processing <strong>of</strong> the AHRS is implemented, and then<br />
the attitude and position data <strong>of</strong> the quadrotor UAV are obtained in real<br />
time to provide reliable flight state information for the autonomous<br />
flight control. The on-board flight data is sent to ground control system<br />
and stored via a communication module based on the UDP network<br />
protocol.<br />
◮ FrB07-3 16:30–16:50<br />
Research on the Ground Control System <strong>of</strong> Quadrotor Unmanned Aerial<br />
Vehicles, pp.3776–3781<br />
Zhao, Tingting<br />
Xian, Bin<br />
Yang, Yungao<br />
Guo, Fang<br />
Huang, Guoping<br />
Tianjin Univ.<br />
Tianjin Univ.<br />
Tianjin Univ.<br />
tianjin Univ.<br />
automation<br />
The quadrotor unmanned aerial vehicle (UAV) has been a focus for<br />
unmanned aerial vehicles. Ground control system (GCS) is an important<br />
part <strong>of</strong> the quadrotor UAV flight control system, and it can promote<br />
the flight performance and safety <strong>of</strong> quadrotor UAVs. In this paper, a<br />
quadrotor UAV GCS is designed and implemented, and the GCS realizes<br />
the following functions, including receiving and storing <strong>of</strong> the flight<br />
data, the real-time localization utilizing the customization <strong>of</strong> electronic<br />
maps like MapX and Google Earth, the visual display <strong>of</strong> flight states via<br />
virtual instruments and the waypoint planning. Outdoor experiments<br />
have been done to verify the GCS’s performance. It can be concluded<br />
that the proposed GCS in this paper can work stably, and it can guarantee<br />
the integrity <strong>of</strong> the flight data, the accuracy <strong>of</strong> the instruments<br />
display and map localization.<br />
◮ FrB07-4 16:50–17:10<br />
SINS Initial Alignment Using Wavelet De-noising Method for Aircraft<br />
Navigation, pp.3921–3926<br />
ILYAS, MUHAMMAD<br />
YANG, Yunchun<br />
Ren, Zhang<br />
Beihang Univ.<br />
NavTech.<br />
Beihang Univ.<br />
The error in the initial attitude determination is one <strong>of</strong> the most crucial<br />
sources <strong>of</strong> error for accurate inertial navigation. Estimation <strong>of</strong> the initial<br />
attitude angles accurately is the guarantee <strong>of</strong> precise determination<br />
<strong>of</strong> the position, velocity and attitude <strong>of</strong> a moving platform. For military<br />
aircrafts, the high precision and short time <strong>of</strong> initial alignment are<br />
key requirements. The required inertial signals (accelerometer specific<br />
force and gyro rates) are buried in high frequency measurement noise.<br />
When the aircraft engine is power on, the high frequency noise is introduced<br />
due to engine vibration and other disturbances. Kalman filter<br />
have been extensively used for initial fine alignment <strong>of</strong> Strapdown Inertial<br />
Navigation Systems (SINS). In this paper, Multi-resolution wavelet<br />
de-noising (MRWD) method is proposed to eliminate the high frequency<br />
noise from inertial sensor measurements before using for initial fine<br />
alignment. The proposed method is tested using real data sets collected<br />
when vehicle engine was power on. It has been observed that<br />
the accuracy <strong>of</strong> initial alignment can be improved through the proposed<br />
method.<br />
◮ FrB07-5 17:10–17:30<br />
Orientation Coordination <strong>of</strong> Multiple Robots based on a Nonlinear Consensus<br />
Algorithm, pp.3788–3793<br />
Xing, Guansheng<br />
Sun, Hexu<br />
Chen, Haiyong<br />
Liu, Ning<br />
Hebei Univ. <strong>of</strong> Tech.<br />
Hebei Univ. <strong>of</strong> Tech.<br />
Hebei Univ. <strong>of</strong> Tech.<br />
hebei Univ. <strong>of</strong> Tech.<br />
In this paper we design a control strategy for orientation coordination<br />
<strong>of</strong> multiple mobile robots system based on a nonlinear consensus algorithm.<br />
By using the nonlinear terms defined to indicate the orientation<br />
difference among neighbors, each robot control its own motion<br />
direction, and then all robots’orientations converge to the average <strong>of</strong><br />
their initial values. A scheme <strong>of</strong> communication topology design is proposed.<br />
It is proved that the coordinated control algorithm distributed<br />
on that kind <strong>of</strong> topology can make multiple single integrators with input<br />
limits reach average consensus. Finally, the comparison <strong>of</strong> the numerical<br />
simulation results under conditions <strong>of</strong> two different topologies shows<br />
the effectiveness <strong>of</strong> the control algorithm.<br />
◮ FrB07-6 17:30–17:50<br />
Octree-based Spherical hierarchical model for Collision detection,<br />
pp.3870–3875<br />
Ouyang, Fan<br />
Zhang, Tie<br />
South China Univ. <strong>of</strong> Tech.<br />
South China Univ. <strong>of</strong> Tech.<br />
This paper has analysed the most commonly used three bounding representation<br />
for robot links at the beginning. after that, the advantages <strong>of</strong><br />
hierarchical structure and Octree data structure are presented. Moreover,<br />
this paper has proposed an octree-based Spherical representation<br />
which has both <strong>of</strong> the advantages <strong>of</strong> octree structure and spherical<br />
bounding representation. Two main parts <strong>of</strong> the proposed representation<br />
model are described in details which include Octree-based cube<br />
model and three-layer cuboid model. In addition, principles <strong>of</strong> collision<br />
detection and procedures <strong>of</strong> establishing the model are also given. finally,<br />
an example <strong>of</strong> collision detection in two-robot system is given<br />
using the proposed models. The result indicates the proposed model is<br />
effective for the collision detection <strong>of</strong> two-robot system.<br />
◮ FrB07-7 17:50–18:10<br />
Evaluation <strong>of</strong> Task Realizability for Robot Systems in Representation<br />
Space, pp.3816–3821<br />
Wu, Ban<br />
Su, Jianbo<br />
Shanghai Jiao Tong Univ.<br />
Shanghai Jiaotong Univ.<br />
This paper investigates task realizability for robot systems with a representation<br />
space-based technique. It is a general technique which can<br />
be applied to different robot systems with various tasks. In this paper,<br />
initial results on evaluation <strong>of</strong> motion planning tasks are presented<br />
to show the effectiveness <strong>of</strong> the proposed technique. Path planning<br />
tasks <strong>of</strong> a two-link revolute manipulator in presence <strong>of</strong> obstacles are<br />
exemplified. Optimal strategy for a realizable task is solved out, while<br />
root causes for unrealizable tasks are diagnosed and strategies are designed<br />
to fix unrealizable tasks. Simulation results demonstrate that the<br />
proposed technique helps in determining whether a task is feasible and<br />
fixing infeasible tasks.<br />
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