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检索条件"机构=Department of Control Theory and Control Engineering Harbin Institute of Technology"

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Periodic time-varying controller design of a satellite using magnetorquers

Periodic time-varying controller design of a satellite using...

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World Congress on Intelligent control and Automation (WCICA)

作者： Guangfu Ma Chuanjiang Li Zhihong Yang Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780382730

Satellite attitude control that utilizing momentum bias and magnetic control is a class of complicated linear quasi-periodic system. According to asymptotical stability theorem of linear time-varying system, a new approach to magnetic controller design is presented in this paper. Simulation result is given. It is shown that high pointing accuracy of roll/yaw is achieved.

关键词： Satellites control systems Time varying systems Design engineering Magnetic moments

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Friction-attenuation control design for unstable nonminimum-phase systems

Friction-attenuation control design for unstable nonminimum-...

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World Congress on Intelligent control and Automation (WCICA)

作者： Guangxiong Wang Jing Zhang Yi Wang Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780382730

The dry friction in an unstable non-minimum-phase system can cause a self-sustained oscillation. The state feedback design can do nothing with such oscillations. If the non-minimum-phase is stabilized by output feedback, as is well known, an inner fast loop is generally needed to guarantee the robustness. It is pointed out that the friction can be attenuated by the fast loop with additional compensation design. A novel H/sub /spl infin// design methodology is proposed for this two-loop system, in which the dynamics of the inner loop is treated as unmodeled dynamics, while the order of the controller can also be reduced. Such a design is a typical example of applying H/sub /spl infin// control theory to multi-loop systems.

关键词： control design Friction control systems State feedback Output feedback Robustness Design methodology control theory

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Noise reduction for Doppler ultrasound signal based on cycle-spinning and thresholding methods

Noise reduction for Doppler ultrasound signal based on cycle...

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IEEE Instrumentation and Measurement technology Conference

作者： Xiaotao Wang Yi Shen Zhiyan Liu Qiang Wang Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)078038248X

The spectrogram of Doppler ultrasound signal has been widely used in the clinical diagnosis. The additional frequency component arising from noise will produce an adverse effect on the subjective analysis of the spectrogram and its quantitative analysis. The methods combining cycle-spinning with thresholding methods using orthogonal wavelet transform and cosine packet decomposition are proposed to remove noise from Doppler ultrasound signal. At first, a specified transform method is performed on the signal of interest. Then the soft or hard thresholding method is used to shrink the coefficients, from which the denoised signal is reconstructed. In the simulation study, the improvements of the mean frequency waveform and the SNR before and after denoising are studied. Simulation results have shown that the methods incorporating with cycle-spinning are superior to those traditional denoising methods. In view of computational complexity and performance improvements, the orthogonal wavelet transform combined with cycle-spinning is a practical approach for denoising Doppler ultrasound signal.

关键词： Noise reduction Ultrasonic imaging Spectrogram Computational modeling Additive noise Gaussian noise Blood flow Frequency Mean square error methods Wavelet transforms

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Design of reduced-order robust controllers for flexible structural systems

Design of reduced-order robust controllers for flexible stru...

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Annual Conference of Industrial Electronics Society

作者： Qinglei Hu Guangfu Ma Xueyuan Jiang Department of Control Science & Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780387309

An approach of designing reduced-order robust controller for active vibration control of a flexible plate structure is presented in this paper. FU-based robust output feedback control law is designed by using specific transformations of Lyapunov variable with appropriate linearizing transformations of the control variables, which gives rise to a tractable and practical LMI formulation of the vibration control problem. In terms of LMI technique, an H/sub /spl infin// output feedback controller is designed to suppress the low-frequency vibrations caused by external disturbances and to guarantee the stability and performance of the closed-loop system under uncertainties. The order of the controller is further reduced through an iterative two-step LMI-based algorithm for the frequency weighted model reduction problem. The efficiency of the approach is validated by numerical simulation studies of active vibration suppression for the flexible plate.

关键词： Robust control control systems Vibration control Output feedback Linear feedback control systems Stability Uncertainty Iterative algorithms Frequency Reduced order systems

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Adaptive control for the superheated steam temperature based on multi-model state observer

Adaptive control for the superheated steam temperature based...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Xiu-Chun Luan Shi-Yong Li Li-Ling Li Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780384032

Based on the characteristics of superheated steam temperature of a boiler, a new cascade control system is designed. The main regulator adopts multi-model observer control, and the secondary controller adopts weighted synthesizing proportional control. The system integrates the characteristics of the multi-model control with those of the state variable control with observer, and the state observer has dual functions, providing internal information of the process and acting as the identification model. The result of simulation shows that the control system has powerful robustness with the load changing in large range state variable.

关键词： Adaptive control Proportional control control system synthesis Boilers Temperature control control systems Regulators Weight control Power system modeling Robust control

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On the use of data fusion in ultrasonic imaging

On the use of data fusion in ultrasonic imaging

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IEEE Instrumentation and Measurement technology Conference

作者： Guidong Liu Yi Shen Yan Wang Qiang Wang Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)078038248X

This paper presents a new approach to fuse the fundamental ultrasonic image and second harmonic ultrasonic image using the wavelet transform. When images are merged in a wavelet space, we can process frequency ranges differently. For example, high frequency information from one image can be combine with lower frequency information from another to perform edge enhancement. Wavelet efficiently separates an image into different subspaces that preserve the features of the original images after fusion. Feature classification information can be directly applied to the coarse approximation of the wavelet decomposed image without segmenting the original image. The proposed method reduces artefacts and enables physicians to make better diagnoses, which is robust in processing noisy images.

关键词： Ultrasonic imaging Frequency Acoustic distortion Acoustic beams Bandwidth Space technology Reverberation Fuses Wavelet transforms Image segmentation

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Fault diagnosis of diesel engine combustion system based on neural networks

Fault diagnosis of diesel engine combustion system based on ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Gen-Ting Yan Guang-Fu Ma Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780384032

We have developed a neural-network based on fault diagnostic system for diesel engine combustion system. Grounded on the presented evolutionary algorithm, neural networks automatically adjust the network parameters (connection weights and bias terms). Computer simulation experimental results confirm that the proposed method has high diagnostically accuracy.

关键词： Fault diagnosis Diesel engines Combustion Neural networks Artificial neural networks Evolutionary computation Pattern recognition control systems Electronic mail Computer simulation

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Noise reduction for quadrature Doppler ultrasound signal based on the adapted local cosine transform

Noise reduction for quadrature Doppler ultrasound signal bas...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Xiao-Tao Wang Yi Shen Zhi-Yan Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780384032

The spectral analysis of the Doppler ultrasound signal based on the spectrogram has been widely used in medicine for the assessment of blood flow in vessels. The additional frequency components arising from noise produces an adverse effect on the subjective study of the spectrogram and its quantitative analysis. A novel approach using the adapted local cosine transform, combined with the non-negative garrote thresholding method, is proposed to remove noise from the quadrature Doppler ultrasound signal. At first, the directional information is extracted from the quadrature signal. Then the denoising method based on the adapted local cosine transform is performed on the forward and reverse flow signals, respectively. At last, the estimated signal is reconstructed from the denoised signals using Hilbert transform. In the simulation study, the estimation precision of the mean frequency waveform and the spectral width waveform are studied for the signal after denoising. The simulation results for the simulated Doppler ultrasound signals have shown that this approach is superior to the one based on the wavelet transform, especially under low SNR conditions.

关键词： Noise reduction Ultrasonic imaging Spectrogram Data mining Discrete wavelet transforms Signal processing Blood flow Wavelet transforms Frequency estimation Medical simulation

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Edge detection based on early vision model incorporating improved directional median filtering

Edge detection based on early vision model incorporating imp...

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IEEE Instrumentation and Measurement technology Conference

作者： Rong Lu Yi Shen Qiang Wang Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)078038248X

Edge detection is a fundamental step for ultrasound image analysis. However, it remains to be a difficult problem due to the intrinsic noisy nature of ultrasound images. In this paper, an edge detecting algorithm is proposed, which combines an improved directional median filter and early vision model together. And this improved directional medial filtering method is put forward to reduce the blurring caused by the median filter and to depress the influence of noise caused by the directional median filter. The early vision model has been proved in many literatures to be highly effective for edge detecting, even in a very noisy image. In our way, the simpleness and the speediness of the median filter band the antinoise and texture-sensitive characters of the early vision model together efficiently and the experimental results show that out approach is promising.

关键词： Image edge detection Filters Filtering Ultrasonic imaging Noise reduction Image processing Signal processing algorithms Clinical diagnosis Magnetic resonance imaging Computed tomography

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A new adaptive morphological algorithm for contour extraction on ultrasound image

A new adaptive morphological algorithm for contour extractio...

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Proceedings of the 21st IEEE Instrumentation and Measurement technology Conference, From the Electrometer to the Networked Instruments: A Giant Step toward a Deeper Knowledge Volume 1

作者： Dandan Li Yi Shen Zhiyan Liu Ping He Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)078038248X

This paper describes a new adaptive algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.

关键词： biomedical ultrasonics medical image processing mathematical morphology fuzzy set theory image enhancement feature extraction ultrasound image contour extraction adaptive morphological algorithm fuzzy sets theory morphological image processing image contour medical images image quality 4-segment function

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