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检索条件"机构=China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex System"

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

Simulation and Experimental Study on Piezoelectric Geophone ...

引用

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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An intelligent Selection Strategy for Burden Distribution Based on Classification of Blast Furnace Condition

An intelligent Selection Strategy for Burden Distribution Ba...

引用

第37届中国控制会议

作者： Kexin Zhang Min Wu Jianqi An School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

Burden distribution plays an important role in the optimization of energy-consuming index of a blast furnace(BF).However, due to the low transparency of this process, operators adjust the burden distribution according to their own experiences,which makes it difficult to keep optimal production indexes for a BF. In this paper, an intelligent selection strategy of burden distribution is devised according to the energy-consuming index, where carbon-monoxide utilization rate(CMUR) is taken as the energy-consuming index. First, state variables are chosen based on the calculated Pearson correlation coefficient among each state variable. Then, the chosen state variables are divided into five clusters by k-means clustering algorithm. Finally, the values of CMUR in each condition cluster with different burden distribution are counted. According to the statistics, the burden distribution with the highest CMUR is judged to be the optimal one. Simulation results based on industrial data show that the proposed strategy selects the optimal burden distribution and provides a reasonable guide for the operators.

关键词： Burden distribution blast furnace k-means carbon-monoxide utilization rate

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Design of High-Gain-Observer-Based State Feedback controller for Positive Time-Delay system

Design of High-Gain-Observer-Based State Feedback Controller...

引用

第37届中国控制会议

作者： Mingyuan Xie Jinhua She Zhentao Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

This paper investigates the stabinzability of positive time-deray system,The nonnegative constraint makes the design of a control law different from a general ***,a method to calculate the L gain of a positive time-delay system is ***,the design of a state feedback controller and a high-gain observer is presented by taking full advantage of the characteristics of the positiveness of the ***,the observer and feedback controller are combined to stabilize the system and improve dynamic performance.A numerical example illustrates the provided method is effective.

关键词： Positive system Delay L1 gain Asymptotically stable High-Gain Observer Observer-based feedback controller

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Gesture Intention Understanding Based on Depth and RGB Data

Gesture Intention Understanding Based on Depth and RGB Data

引用

第37届中国控制会议

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

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 Cha Learn Gesture Database.

关键词： Gesture Intention Understanding Depth Data RGB Data

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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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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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control of Wireless Network Communication for Industrial Robot Servo systems

Control of Wireless Network Communication for Industrial Rob...

引用

第37届中国控制会议

作者： Meiliu Li Guangjun Wang Jinhua She Zhentao Liu Danyun Li School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

To meet the needs of high speed and good environmental adaptability for data transmission in industrial robot servo systems, this paper presents a wireless transmission technology on a data acquisition control terminal. The system is based on STM32 F103 RET6 processor and reads cache data from the SRAM of FPGA in DMA method, and communicates with a WIFI chip, Marvell 88 w8686, through the SDIO interface. A host computer segments and filters the data received by the WIFI chip and sends control commands back to STM32. The functions of the hardware and software of the system contains data compression and storage, wireless data transmission, data display, and control-command transmission. An experimental platform has been built. It carries out real-time transmission of 8-16 digits based on the TCP/IP protocol with expected performance.

关键词： Servo systems WIFI wireless communication TCP/IP protocol

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An intelligent control Scheme for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process

An Intelligent Control Scheme for Burn-Through Point to Carb...

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第37届中国控制会议

作者： Sheng Du Min Wu Jinhua She School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

The sintering process is an important step of preparing raw material for iron and steel smelting. It is a series of complex physico-chemical changes with high energy consumption, high pollution and large CO emissions. How to reduce carbon consumption while ensuring the quality and yield of sinter ore are the problems to be solved urgently. In this paper,An intelligent control scheme for burn-through point(BTP) to carbon efficiency optimization in iron ore sintering process is presented. The comprehensive coke ratio is employed as a measure of carbon efficiency;and the BTP, a measure of the stability of the sintering process. First, a model is established to predict the comprehensive coke ratio using a back propagation neural network, and the carbon efficiency is optimized using the particle swarm optimization algorithm. This yields an optimal strand velocity. Then, the control of the BTP is taken into consideration using an expert-fuzzy control strategy. This yields another strand velocity. Finally, these two kinds of strand velocity are integrated using the fuzzy satisfaction method to produce a control input for the strand velocity. It not only improves the carbon efficiency, but also ensures the stable running of the sintering process. Part of the strategy was tested in an actual plant, and the results show the effectiveness of the scheme.

关键词： Sintering process Carbon efficiency Optimization Burn-through point intelligent control

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Further Result on the Stability Analysis of Time-Delay system Based on a Novel Inequality

Further Result on the Stability Analysis of Time-Delay Syste...

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第37届中国控制会议

作者： Yibo Huang Jianqi An Yong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

This paper investigates the issue for stability of linear system with time-varying ***,by combining the Freematrix technique and the B-L inequality,a new inequality named Free-matrix Legendre inequality is ***,based on this inequality,two sets of stability criteria are developed which are less conservative than the existing ones due to the fact that more freedom are ***,a numerical example is given to illustrate the advantage of our method.

关键词： Time-delay system Lyapunov-Krasovskii functional Integral inequality Conservatism analysis

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Iterative Learning control for Batch Weighing and Feeding Process

Iterative Learning Control for Batch Weighing and Feeding Pr...

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第37届中国控制会议

作者： Fayang You Jianqi An School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

Due to the fact that material properties may change, weighing and feeding process is difficult to achieve high accuracy with conventional control methods. This paper discusses application of iterative learning control in weighing and feeding process,which takes advantage of previous control information. First, a continual state-space model is established based on dynamic analysis of weighing and feeding process. Next, this model is discretized into a two-dimensional state space model, which takes into account more state information about the process. Then, an iterative learning controller is presented, which improves the tracking performance with the increase of feeding times. A multi-objective simulated annealing is used to find the controller parameters with better control performance under the stability condition. Finally, simulation results are given, which show that a faster feed rate and more accurate feed accuracy is obtained after several feeding batches.

关键词： Weighing and Feeding process Iterative learning control Batch Process Multi-object optimization 2D state space model Linear matrix inequality

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