Conference Program of WCICA 2012

Conference Program WCICA 2012
Tang, Ying
Yao, Wen-ji
Wang, Zhang-quan
Xu, Sen
Zhejiang Shuren Univ.
Zhejiang Shuren Univ.
Zhejiang Shuren Univ.
Zhejiang Shuren Univ.
This work presents an open-loop, fully differential capacitive MEMS
accelerometer implemented in CMOS technology. The mathematical
model of this open-loop system is derived, which considers non-ideal
factors in circuits such as nonlinear distortion and noises. These nonideal
factors have been discussed through system level simulation using
MATLAB. Simulation results show that the system has good capacitive
sensitivity and is robust to noises. The detailed design of interface
circuit in the proposed MEMS accelerometer is presented, using sigmadelta
(Σ-Δ) modulation. Finally, the chip-level physical layout of interface
circuit is implemented and tested, using silicon-on-insulator (SOI)
substrate with 1μm CMOS process. Results have shown the chip with
area of 1.32mm2 and power consumption of about 5mW. The proposed
MEMS accelerometer is designed for acceleration of less than 5G, and
its resolution is 1.923mG.
◁ PSaC-92
Attitude And Altitude Instrument Based On DSP, pp.5108–5111
Xu, Peng
Li, Baokui
Geng, Qingbo
Fei, Qing
Beijing Inst. of Tech.
Beijing Inst. of Tech.
Beijing Inst. of Tech.
Beijing Inst. of Tech.
Unmanned Aerial Vehicle can be referred to as UAV .This design implements
a system that based on DSP to measure altitude, airspeed and
attitude of UAV. The system uses DSP as the controller and operator,
and uses two MS5534C and a URF03-TTL232 to measure the altitude
and airspeed of UAV. To measure attitude, we need three accelerometers
and three gyroscopes. SCI serial port can be used to read data
from the module. This design collects the data of these sensors by
query method, and uses quaternion algorithm to calculate the attitude
of UAV.
◁ PSaC-93
Study of Strong Tracking Augmented Unscented Kalman Filter in Integrated
Navigation System., pp.5112–5115
Xu, Dexin
Wang, Lu
Li, Guangchun
Ma, Tao
Harbin Engineering Univ.
harbin engineering Univ.
harbin engineering Univ.
harbin engineering Univ.
In order to solve the problem of inaccurate state estimation and divergent
outputs of the filter of the low-cost integrated navigation system, a
strong tracking augmented unscented kalman filter is proposed in this
paper. This method extends the strong tracking filter principle into the
augmented unscented kalman filter, which improves the strong tracking
ability of the system states mutation. Using the state switching technology
to reduce the dimension during the Sigma points’ sampling and
this improves the real-time property of the filter. Applying this method
into the low-cost integrated navigation system, the experiments results
prove that this method can track the state mutation quickly and inhibit
divergent outputs of the filter.
◁ PSaC-94
Research of Fault Diagnosis Based on Matching Pursuit and Biomimetic
Pattern Recognition, pp.4848–4852
Wang, Xiaozhe
Wang, Jinping
northeastern Univ.
northeastern Univ.
Abstract –Consider of influences of noise in sampling signals comprehensively,
a method of fault diagnosis which combines matching pursuit
(MP) and biomimetic pattern recognition (BPR) is put forward in
this paper. Firstly, the matching pursuit (MP) algorithm is used to select
optimum wavelets in different SNR situations from the Laplace wavelet
dictionary. Then the feature vector is extracted according to the operation
result of waveform MP and super high-dimensional detection
feature spaces of biomimetic pattern recognition (BPR) is constructed.
After that, the real-time detected partial discharge (PD) signals are
cut, and the feature for each discharge pulse is extracted respectively,
which realized the multiple fault recognition revolutionarily. Simulations
show that the robustness and accuracy of fault pattern recognition is
improved.
204