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Chinese control Conference (CCC)

作者： Xueying Fu Wenqin Mo Shun Yuan Liming Xu Junlei Song Kaifeng Dong Fang Jin Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Hubei key Lab. of Adv. Control & Intell. Autom. for Complex Syst. Wuhan China

A new measuring system for magnetic properties of the ferromagnetic thin film has developed based on magneto-optical Kerr effect (MOKE). This system can realize both polar MOKE and longitudinal MOKE measurements through the optimization of optical path and electromagnet's poles. The signal processing software on Lab View has been also designed to acquire the Kerr signal and plot the hysteresis loop. The MOKE measurements have been performed to investigate the magnetic properties of ferromagnetic films such as CoFeSiB, permalloy and NiFe/Ag/NiFe multilayer. The experimental results proved that the system has a high angular accuracy of 0.0008°.

关键词： Magnetic field measurement Magnetic fields Kerr effect Magnetic hysteresis Optical variables measurement Optical films Biomedical measurement

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To Improve Drilling Efficiency by Multi-objective Optimization of Operational Drilling Parameters in the complex Geological Drilling Process

To Improve Drilling Efficiency by Multi-objective Optimizati...

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第37届中国控制会议

作者： Chao Gan Weihua Cao Kangzhi Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical and Electronic Engineering Chiba University

Operational drilling parameters optimization is necessary for increase drilling efficiency in complex geological drilling process. There are four key objectives to evaluate the drilling efficiency, including drilling cost, rate of penetration（ROP）, drill bit life, and drill bit’s specific energy. In this paper, we proposed a multi-objective optimization method to improve drilling efficiency in the complex geological drilling process considering all the four key objectives. Firstly, the characteristics of complex geological drilling process and optimization problems are analyzed to find the vital process parameters and problems for drilling efficiency optimization. Then, a multi-objective optimization model which combines the four key objectives is ***, an improved nondominated sorting genetic algorithm（improved NSGA-II） is used to optimize the operational drilling parameters include weight on bit（WOB） and rotational speed（RS） to make drilling efficiency improved. The real case results demonstrate that our method increases the drilling efficiency in four key objectives and saves the simulation time. The proposed method provides the foundation for intelligent optimization control in complex geological drilling process.

关键词： Operational Drilling Parameters Multi-objective Optimization complex Geological Drilling Process Drilling Efficiency Improved NSGA-II

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Empirical Research on a Fuzzy Model of Music Emotion Classification based on Pleasure-Arousal Model

Empirical Research on a Fuzzy Model of Music Emotion Classif...

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第37届中国控制会议

作者： Siqi Huang Li Zhou Zhentao Liu Shan Ni Jingxian He School of Arts and Communication China University of Geosciences School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Affective computing plays a key role in music artificial intelligence, in which a music emotion classification model is indispensable. Both discrete classification model and continuous dimensional model are commonly used for music emotion classification. However, these models are not designed in views of composers, which is insufficient for the perception of music emotion. In this paper, a fuzzy music emotion classification model is proposed by extracting the music expression marks considering the composers emotion. Experiments on subjective evaluation in the feeling of pleasure and arousal according to the change of three selected features（i.e., tempo, register, and dynamic） are conducted by listeners from different subjects. The experimental results show that the correlation between the proposal fuzzy model and the the results from questionnaires reaches 80% on average, which demonstrate the validity of the proposed fuzzy music emotion classification model. The proposal could be applied to music emotion generation conveyed from either composers or players, and to emotion recognition of music as for audiences.

关键词： Music emotion Classification Affective computing Pleasure-Arousal model Fuzzy logic

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Simulation and Experimental Study on Piezoelectric Geophone Core Based on PMN-PT

Simulation and Experimental Study on Piezoelectric Geophone ...

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第37届中国控制会议

作者： JunLei Song YanXia Huang ZhiHeng Yang MeiJuan Chen Yong Yang WenQin Mo KaiFeng Dong Fang Jin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Mathmatics and Physics China University of Geosciences

Piezoelectric geophones are vibration detectors that convert vibration acceleration signals into electrical signals. High performance piezoelectric materials can improve the sensitivity of piezoelectric geophone and meet the need of high-resolution seismic data acquisition. The comprehensive performance of relaxor piezoelectric single crystal PMN-PT is more superior than PZT, and it is potential to be applied to high sensitivity and small volume geophones. In this paper, the central compressed geophone core model based on PMN-PT was established and theoretically analyzed. Then, a multiphysics simulation model was set up in COMSOL for simulation calculation. Finally, experimental verification was carried out. The results show that using PMN-PT in geophone core design can improve the sensitivity of the model by more than 120% compared with the traditional PZT material. The PMN-PT has the potential to be applied to high sensitivity and small volume geophones.

关键词： PMN-PT PZT Piezoelectric geophone Seismic exploration Accelerometer

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Research on the Magnetic Field Generator of Overhauser Magnetic Sensor

Research on the Magnetic Field Generator of Overhauser Magne...

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第37届中国控制会议

作者： Xiangyu Qiu Jian Ge Haobin Dong Han Li Wang Luo Huan Liu Zhiwen Yuan Jun Zhu Haiyang Zhang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Institute of Geophysics & Geomatics China University of Geosciences

Magnetic field generator is an essential part of the automatic measurement of geomagnetic elements. Based on the Biot-Savart law, mathematical models of magnetic field distribution of different types of magnetic field generators are established. The magnetic intensity and the homogenous area of them are discussed. The analysis results show that increasing the number of coils can increase magnetic intensity. Meanwhile, the designed sphere coil can generate a larger uniform magnetic field with a smaller geometric size, and overcomes the deficiencies in the space utilization of the traditional magnetic field generator. In addition, it has great potential to miniature the size of the geomagnetic measurement instruments.

关键词： Biot-Savart law magnetic field generator sphere coil

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A novel non-dominated sorting approach based on dominance ranking graph

A novel non-dominated sorting approach based on dominance ra...

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第37届中国控制会议

作者： Yiya Diao Changhe Li Junchen Wang Sanyou Zeng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Electrical and Mechanical China University of Geosciences

Non-dominated sorting is widely used in multi-objective evolutionary algorithms. There are many approaches to non-dominated sorting, but they are computationally expensive when the number of objectives or the number of fronts becomes relatively large. This paper proposes an efficient non-dominated sorting approach based on a dominance ranking graph created in this paper. The approach takes advantages of both the dominated and non-dominated relationships, it is able to efficiently handle the case of large number of objectives/fronts. Experimental results show that the proposed algorithm outperforms its several popular variants in most of the tests.

关键词： non-dominated sorting dominance ranking graph many-objective optimization

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Study on BCH based Encoder and Decoder Approach for EM-MWD Communication system

Study on BCH based Encoder and Decoder Approach for EM-MWD C...

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第37届中国控制会议

作者： Cheng Zhang Haobin Dong Jian Ge Huan Liu Bingjie Bai Zhiwen Yuan Jun Zhu Haiyang Zhang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Institute of Geophysics & Geomatics China University of Geosciences

In practical applications of electromagnetic measurement while drilling(EM-MWD),the signal-to-noise ratio(SNR)of receiver cannot always meet the requirements of reliable communication conditions due to the earth-attenuation,interfering signal from well site,*** to solve these problems,this paper presents a BCH encoder and decoder technology based on BPSK for ***,the paper studies the relationship between BCH encoding error performance and decoding method,source length and other factors through simulation;then,we obtain an optimal length of BCH code for EM-MWD through analyzing the bit error performance of hard-decision decoding and soft-decision decoding with different lengths of BCH *** results show that the proposed algorithm can reduce the bit error rate at a lower SNR,achieving a reliable communication condition when the SNR of a received signal is *** is demonstrated the effectiveness of the proposed BCH encoder and decoder algorithm based on BPSK for EM-MWD.

关键词： EM-MWD system BPSK BCH Optimized coding techniques

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H ∞ finite time control for discrete time-varying system with interval time-varying delay

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Journal of the Franklin Institute 2018年第12期355卷 5037-5057页

作者： Menghua Chen Jian Sun School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex System Beijing 100081 China

This paper discusses the problem of H ∞ finite time control for a discrete time-varying system with interval time-varying delay. By constructing a new augmented time-varying Lyapunov functional involving triple summation items and using discrete Wirtinger-type inequalities, delay-dependent conditions are derived, which guarantee that the closed-loop system is not only finite time bounded (FTB) but also satisfies an H ∞ performance. Furthermore, the time-varying feedback controller can be derived by solving a series of recursive linear matrix inequalities (RLMIs). Simulation results show the effectiveness and superiority of the proposed method.

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Gesture Intention Understanding Based on Depth and RGB Data

Gesture Intention Understanding Based on Depth and RGB Data

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Chinese control Conference

作者： Yu Feng Luefeng Chen Wanjuan Su Kaoru Hirota Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Engineering Tokyo Institute of Technology Yokohama Japan

Aiming at the problem that the process of gesture recognition based on color image is greatly affected by environmental factors such as lighting, a gesture intent understanding method based on the fusion of Red-Green-Blue (RGB) data and depth data is proposed. Firstly, the gesture feature extraction based on the Speeded Up Robust Feature (SURF) method after foreground segmentation are used to get gesture information. Then, we apply Backpropagation (BP) neural network to classify and recognize gestures. The final recognition results are obtained through data fusion from recognition results based on both RGB images and depth images. We evaluated the effectiveness of the proposed method through ChaLearn Gesture Database.

关键词： Feature extraction Image segmentation Gesture recognition Robustness Image recognition Neural networks Robot sensing systems

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Exponential Stability of Highly Nonlinear Neutral Stochastic Differential Delay Equations

Exponential Stability of Highly Nonlinear Neutral Stochastic...

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Chinese control Conference (CCC)

作者： Yinghui Hu Xiaofeng Zong Jinhua She Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Engineering Tokyo University of Technology Tokyo Japan

This paper investigates the mean square and almost sure stability of a class of neutral stochastic differential delay equations with highly nonlinear coefficients. We first examine the regularity of the solution to the highly nonlinear neutral stochastic differential delay systems. Then the explicit stability conditions are obtained by the Lyapunov functional and semi-martingale convergence theorem. Especially, the explicit stability conditions of pure delay neutral stochastic differential delay equations are obtained. It is revealed that the delay term in the drift can contribute to the mean square and almost sure stability.

关键词： Stability criteria Delays Asymptotic stability control theory Differential equations

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