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2019 2nd International Conference on advanced Materials, intelligent Manufacturing and Automation, AMIMA 2019

作者： Hu, Cong Xia, Wei Chen, Peng Huang, Shun Guo, Hui Jin, Xing School of Automation China University of Geosciences Wuhan430074 China Hubeikey Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China

In order to improve the robustness of the correlation filtering (CF) tracking algorithm and overcome the problem that the traditional correlation filtering method can not deal with the target's scale and deformation change, a feature-adaptive scale adaptive correlation filter tracking algorithm is proposed. Firstly, the target is characterized;then the output filter is calculated by using the correlation filter;finally, the image blocks of different scales are intercepted from the target position of the current frame, and the optimal estimation of the target scale is obtained by the adaptive scale pool model. The experiment selects multiple video sequences for testing and compares the proposed algorithm with other target tracking methods. The experimental results show that the average performance is better than the comparison method. © Published under licence by IOP Publishing Ltd.

关键词： Deformation

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Two methods of determining target orientation by robot visual principle

Two methods of determining target orientation by robot visua...

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作者： Liu, Gang School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory of Advanced Mechanical and Electrical System Design and Intelligent Control Tianjin300384 China

ISBN: (纸本)9781538636749

By analyzing the imaging principle of the fish-eye lens in the robot vision, two methods of determination of the target orientation based on the fish-eye lens are summarized. One method uses the distortion correction to determine the target orientation, and the other uses the relationship between the target in the actual orientation and its correspondence in the imaging coordinates to determine the target orientation, both methods all use image processing technology, fast and efficiently determine the orientation of the target in the fish eye image. In this paper, the theoretical basis and experimental process of the two methods are introduced respectively. By comparing the data after the experiment, the more accurate method is analyzed and applied to the target azimuth determination of the fish-eye lens. © 2017 IEEE.

关键词： Fish-eye lens Image processing Robot vision Target orientation

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A Novel High Energy Efficiency Electronic control Independent Variable Speed Closed Circuit Steering system for Wheel Loader

A Novel High Energy Efficiency Electronic Control Independen...

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International Conference on Fluid Power and Mechatronics (FPM)

作者： Wang Xiangyu Quan Long Yang Jing Feng Jiangjiang Zhang Xiaogang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan China

ISBN: (数字)9781728103112

ISBN: (纸本)9781728103129

In order to reduce energy loss of steering system, a high energy efficiency electronic control independent variable speed closed circuit steering principle is proposed. All the hydraulic valves of the original steering system are removed, the required flow of the hydraulic steering cylinder is supplied by the fixed displacement pump, independently and directly. The servo motor speed is set proportional to the steering speed of an independent electric controlled steering wheel. Thus the output flow and the output volume of the pump match with steering speed and the steering angular of the wheel loader, respectively. To verify the feasibility and stability of the steering system during the automatic steering process, firstly, a co-simulation model of proposed steering system is built in the SimulationX software. Then, in order to validate the dynamic characteristics of the steering system, the test prototype of it is established. Finally, energy consumption of new steering systems is analyzed. Based on the results, by using the energy-saving closed circle pump controlled flow matching steering system the throttling loss, the relief loss and the median unloading loss of the steering process are eliminated, the energy consumption is reduced by 61%. A wheel loader can save about 83. 6 L of fuel. If this energy-saving steering system is adopted to all wheel loaders in china, the carbon emissions of 3.3 * 10 4 T will be reduced per year.

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Research on the Performance of Hydraulic Excavator with Pump and Valve Combined Separate Meter In and Meter Out Circuits

Research on the Performance of Hydraulic Excavator with Pump...

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2015 International Conference on Fluid Power and Mechatronics

作者： Lei Ge Zhixin Dong Weinan Huang Long Quan Jing Yang Wenyong Li Taiyuan University of Technology Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education

Conventional hydraulic actuator is controlled by mechanically connected orifices valve. The controllability of this method is poor and the energy consumption is huge especially under the over-running condition. So a novel system configuration of the hydraulic excavator is presented to improve the problem mentioned above, in which boom cylinder, stick cylinder and swing motor are controlled with separate meter in and meter out technology, bucket cylinder and travel motors are controlled with conventional valves. Firstly, the paper provides a comprehensive review on the development of the separate meter in and meter out technology. Then the principles of load sensing system and SMISMO system applied on the excavator are illustrated though two diagram to show the difference of the two systems. And then a virtual prototype based on the real physical structures is established, which consists of the hydraulic excavator mechanical structure with multi-body dynamics and electro-hydraulic system. The model is verified by the statics and dynamics experiments. Then the dynamic, static performances as well as the energy consumption characteristics of the boom, arm and swing actuators are investigated under the condition of load sensing hydraulic system and the proposed system using the virtual prototype. The control strategy of the actuators is formulated according to their load condition and operation characteristics also based on the detailed analysis. After that, the physical prototype based on the proposed configuration system is established and its performance is tested. The experimental results show that the accuracy of the virtual prototype is validated;the proposed configuration system can significantly decreases the pressure losses through the valve and improve the energy efficiency of the machine;the pressure shocks within hydraulic actuators is decreased as well, thus the stationarity of the whole machine is improved accordingly.

关键词： flow matching separate meter in and meter out pressure and flow combined control pump and valve hybrid control

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High-Speed Noise-Based Random Bit Generator by Removing 1/f Noise with Differential Comparison

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Journal of Beijing Institute of Technology 2018年第3期27卷 363-370页

作者： Jianzhong Zhang Xiaoyu Yu Mingjiang Zhang Yi Liu Zhuping Li Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi ProvinceInstitute of Optoelectronic EngineeringCollege of Physics & OptoelectronicsTaiyuan University of Technology

A design scheme of high-speed physical random bit generator is proposed by utilizing a wideband white noise as an entropy *** difference operation between the wideband noise signal and its delayed signal is done to produce a series of binary code by a differential *** D flipflop,which is triggered by a clock,samples the output of the comparator.A random bit sequence at rates of up to 720 Mbit/s is obtained after the exclusive-OR *** differential comparison on noise signals can effectively eliminate 1/f characteristics of the amplified noise,and correct the probability density distribution deviation of noise signal *** quality of the resulting random sequence is verified using common tests of statistical randomness.

关键词： differential comparison noise source 1/f noise random bit generator

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Analysis of magnetic memory signal of dynamic stress changes for steel-cord conveyor belt

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Energy Education Science and Technology Part A: Energy Science and Research 2012年第SUPPL.2期30卷 207-214页

作者： Qiao, Tiezhu Li, Xiaolu Ma, Fuchang Education Ministry Key Lab of Advanced Transducers and Intelligent Control System Taiyuan University of Technology Taiyuan City 030024 China

Metal magnetic memory technology was an important method for detecting the steel-cord conveyor belt early fault, the use of magnetic memory signal maximum gradient value can quickly judge the stress concentration zone, but the magnetic memory signal is susceptible to the effects of environmental and noise;because of the multi-scale transient analysis of wavelet transform provided a suitable way for detecting the singularity points of magnetic memory signal. For the magnetic memory signal is weak and non-stationary, this paper has combined the metal magnetic memory detecting maximal gradient value with singularity detecting theory based on wavelet transform modulus maximum, the method could exactly judged the stress concentration zone of joints and located the fault points of the steel-cord belt, the characteristic gradient of magnetic memory signal and the Lipschitz exponent were extracted. Result of simulation indicated the technology was effectively for judging stress concentration zone and fault point. © Sila Science.

关键词： Wavelet transforms

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Synchronization of fractional-order gene regulatory network with delay 36

Synchronization of fractional-order gene regulatory network ...

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第36届中国控制会议

作者： Feng Liu Zhe Zhang Ren Jie Sun Fenglan School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Research Center of System Theory & Application Chongqing University of Posts and Telecommunications

ISBN: (纸本)9781538629185

This paper investigates the problem of Synchronous control of Fractional gene regulatory *** on the Lyapunov stability judgment method,we apply two kinds of control method,adaptive projection control and adaptive sliding mode control,for making system ***,a numerical simulation example is provided to verify the effectiveness and the benefit of the proposed synchronicity criterion.

关键词： Fractional-order synchronization adaptive projection control adaptive sliding mode control

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Interference Fading Suppression for Multi-frequency Φ-OTDR 7

Interference Fading Suppression for Multi-frequency Φ-OTDR

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7th Optoelectronics Global Conference, OGC 2022

作者： Wang, Yu Wang, Junhong Liang, Bin Li, Yan Bai, Qing Jin, Baoquan Shanxi Transportation Technology Research & Development Co. Ltd Taiyuan China Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan China

ISBN: (纸本)9781665486989

In phase-sensitive optical time domain reflectometer (Φ-OTDR), due to interference fading, the intensity of Rayleigh backward scattering (RBS) signals may be close to zero at the fading position and submerged in noise, resulting in the abnormal demodulated phase of vibration signal. In this paper, a multi-frequency Φ-OTDR is proposed for the interference fading suppression. Three acousto-optical modulators (AOMs) are used to generate multi-frequency probe pulses. Data alignment processing is carried to ensure the consistency of multi-frequency beat signals. Rotated-vector-sum method is adopted to aggregate multi-frequency signals. Experimental results show that with the help of data alignment processing, the fading probability of aligned curve can be reduced to 1.90%, and the SNR of positioning curve can reach 16.03dB. © 2022 IEEE.

关键词： Signal to noise ratio

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SVR-PSO based short-term wind power prediction by using multi-source numerical weather prediection 8

SVR-PSO based short-term wind power prediction by using mult...

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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Applications, ISCIIA and ITCA 2018

作者： Zhou, Hao Ding, Min Li, Danyun Wang, Qingyi Tan, Zhili Wu, Min School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China

With the large-scale application of wind power, the wind power prediction has been highlighted. In order to improve the prediction accuracy of wind power and ensure the resource utilization rate, a wind power prediction method based on support vector machine regression and particle swarm optimization based on multi-source NWP (numerical weather prediction) is proposed. Firstly, the SVR (support vector regression) algorithm is introduced to model the multi-source wind speed data, which can effectively extract the main features and improve the wind speed prediction accuracy. Then, the PSO (particle swarm optimization) is used to model the historical predicted power data and the actual power data for power prediction. Finally, the proposed approach provides wind power forecasts for future 1 day in steps of 15 min. The effectiveness of the proposed method is verified by experiments on wind farms and the results show that the proposed method is more accurate and effective than SVR. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Application.

关键词： Weather forecasting

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Image retrieval based on convolutional neural network and linear discriminate analysis 2

Image retrieval based on convolutional neural network and li...

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2019 2nd International Conference on advanced Materials, intelligent Manufacturing and Automation, AMIMA 2019

作者： Xia, Wei Hu, Cong Cheng, Xianghui Chen, Peng Jin, Xing School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China

Image retrieval is a hot research topic in the field of computer vision image processing, and the user queries the image database for similar images and produces a list of recommendations. The paper firstly sets forth the research status of image retrieval, then the convolution neural network is briefly introduced. Due to the traditional image retrieval and recommendation system use manual extraction of image features is relatively cumbersome, and the retrieval accuracy is not high research status, the paper proposes an image retrieval method based on the improved convolutional neural network and linear discriminate analysis. Caltech256 and CIFAR-10 datasets were trained using the model in this paper, experimental, results show that the proposed method can effectively improve the performance of retrieval. © Published under licence by IOP Publishing Ltd.

关键词： Search engines

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