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作者： Yang, Kaiyan Xian, Bin Li, Xindong Yu, Yanping Diao, Chen-Diao Feng, Yu Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China Chinese State Nuclear Power Technology Corporation Ltd. Beijing 100140 China

ISBN: (纸本)9787894631046

In this paper, we proposed a nonlinear robust control design combined with neural network for a 3 degree of freedom (DOF) helicopter test-bed which may be subjected to unknown external disturbance and contains structure uncertainties. Regulation and tracking control design are proposed for the angles of elevation, pitch and travel axes. Numerical simulation results are provided to illustrate that the proposed controllers achieve good performance and the closed loop systems obtain good robustness with respect to system uncertainties and disturbances.

关键词： Robust control

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Stochastic stabilization of Markovian jump systems in the presence of partial unknown transition probabilities and actuator saturation

Stochastic stabilization of Markovian jump systems in the pr...

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Chinese control Conference (CCC)

作者： Yijing Wang Zhiqiang Zuo Yulong Cui Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University 300072 China

This paper deals with the controller design problem for Markovian jump systems subject to partial unknown transition probabilities and actuator saturation. Different from the previous results where complete knowledge on the transition probabilities is available, a new controller synthesis scheme is proposed as well as an estimate of the domain of attraction in mean square sense. A sufficient condition is first established to guarantee the stochastic stability of the closed-loop system. An optimization problem with LMI constraints is then formulated to determine the largest contractively invariant set in mean square sense. Finally, a numerical example is provided to show the effectiveness of our method.

关键词： Actuators Silicon Bismuth Markov processes Robustness Stability analysis

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A Harmonic Signal Generator Based on DDS and SOPC

A Harmonic Signal Generator Based on DDS and SOPC

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The 22nd China control and Decision Conference(2010年中国控制与决策会议)

作者： Zhiqiang Zhang Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering & Automation Tianjin University Tianjin 300072

A harmonic signal generator with adjustable frequency, phase and harmonic proportion is designed in this paper. The design of this harmonic signal generator is based on direct digital frequency synthesis (DDS) technology and the idea of System on a Programmable Chip (SOPC). The classic structure of DDS is introduced and a kind of compression ROM is designed. Then, the DDS core with compression ROM is compiled using Quartus II by VHDL language. As a kind of processor which is supplied by Atera Inc., the soft core, Nois II is embedded on FPGA chip. Using Nois II and other modules, a system is designed on one single FPGA chip. The performances such as integration, expansibility are very much improved. The principle of DDS is discussed particularly;the optimized structure of DDS core and the design SOPC on single FPGA are presented in this paper.

关键词： DDS SOPC harmonic signal generator Noise

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Single Source Current Drive Patterns for Electrical Impedance Tomography

Single Source Current Drive Patterns for Electrical Impedanc...

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IEEE Instrumentation & Measurement Technology Conference

作者： Lifeng Zhang Huaxiang Wang Department of Automation North China Electric Power University Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation TianjinUniversity

ISBN: (纸本)9781424428328;9781424428335

Electrical impedance tomography (EIT) is a technique for reconstructing conductivity of an inhomogeneous medium by injecting currents at the boundary of an object and measuring the resulting changes in voltage. The SNR of acquisitive data and the reconstructed image quality of EIT system are directly determined by current drive patterns. In this paper, eight current drive patterns with the same boundary voltage measurement strategy have been studied. The isopotential lines, the number of independent measurements, measured voltage dynamic range, voltage change with conductivity change and reconstructed image quality of these patterns are compared, through which an optimal current drive pattern was obtained.

关键词： Electrical impedance tomography Current drive pattern Finite element method Image reconstruction

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Cross correlation velocity of oil-water two-phase flow by a Dual-plane Electrical Resistance Tomography system

Cross correlation velocity of oil-water two-phase flow by a ...

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IEEE Instrumentation and Measurement Technology Conference

作者： Chao Tan Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

ISBN: (纸本)9781424428328;9781424428335

Oil-water two-phase flow is commonly encountered in industrial processes of petroleum and chemical engineering. The process parameters, such as velocity and phase concentration of the mixture are of great importance in both scientific and engineering field. Cross correlation technique is one of the methods of calculating the flow velocity by deriving the transit time of the fluid flowing through a pair of parallel mounted sensors on the target pipelines. The physical meaning of the cross correlation velocity is still an open discussion in the field of multi-phase flow measurement. In this research, a Dual-plane Electrical Resistance Tomography (ERT) is adopted to cross correlate the sensing data from two electrode planes. A method of dynamically seeking suitable signal segment for cross-correlating measured signals from two-phase flow is proposed. The results show that the cross correlation velocity is a structural velocity within two-phase flow, and the relationship of cross correlation velocity and mixture velocity is affected by the water flowrate within the two-phase flow.

关键词： Electric resistance Tomography Electrical resistance measurement Fluid flow measurement Chemical industry Petroleum industry Chemical engineering Pipelines Velocity measurement Electrodes

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A measurement method of slug flow velocity of gas-liquid two-phase flow in horizontal pipe

A measurement method of slug flow velocity of gas-liquid two...

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IEEE Instrumentation and Measurement Technology Conference

作者： Fusheng Zhang Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

ISBN: (纸本)9781424428328

Slug flow is an important flow regime of gas/liquid two-phase flow. The parameters measurements of slug flow are of great importance in scientific and engineering field. Local cross-correlation method is put forward in this paper to make the mixed velocity measurement of slug flow. Different from normal cross-correlation method, this local cross-correlation make direct use of electrode voltage data and gives detail velocity information of the cross-section. According to the electrode distribution in the pipe cross-section, the excitation manners have been sorted into 3 kinds and measured electrodes have been cut into 9 sorts. A static experiment is carried out to testify and concretely analyze the sensitivity difference of different excitation manners and different located measuring electrodes. Results of static experiment verify the above sorting manner and show that different excitation manner and different measured area has its own apparent data feature and. In this local cross correlation method, only selected electrode pairs instead of all electrodes as normal data process participate in excitation process. So the system efficiency has improved, and as a consequence the velocity resolution of cross correlation is improved. The dynamic experiment result shows the efficiency of this local cross-correlation method and the experiment error is within 10%.

关键词： Fluid flow measurement Velocity measurement Electrodes Chemical industry Petroleum industry Ultrasonic variables measurement Fluid flow Voltage Position measurement Gas industry

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Mobile Robot Gas Source Localization via Top-Down Visual Attention Mechanism and Shape Analysis

Mobile Robot Gas Source Localization via Top-Down Visual Att...

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The 8th World Congress on Intelligent control and automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Ping Jiang Qing-Hao Meng Ming Zeng Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

A novel mobile robot based gas source localization method in which the top-down visual attention mechanism (TDVAM) is combined with shape analysis is proposed. At each location, three different images which cover the scene in front of the robot are captured via changing the horizontal angle of an onboard pan/tilt camera. In each image, three salient regions are computed using TDVAM model, and maximal one plausible gas source from three salient regions is identified by using the shape analysis. The positions of recognized plausible gas sources are determined with a laser range scanner. The robot is navigated to the plausible gas sources one by one and gas concentration information is used to judge if the plausible sources are real ones. Experimental results in a complex indoor airflow environment in which valves are used to simulate gas sources demonstrate the feasibility and high efficiency of the proposed gas source localization approach.

关键词： Shape Visualization Mobile robots Robot sensing systems Computational modeling Feature extraction Pixel

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Estimation of component concentrations of sodium aluminate solution via PLS and Hammerstein recurrent neural networks

Estimation of component concentrations of sodium aluminate s...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Wei Wang Lijie Zhao Tianyou Chai Wen Yu Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University China Key Laboratory of Integrated Automation of Process Industry Shenyang Institute of Chemical Technology Information Engineering School Ministry of Education China Key Laboratory of Integrated Automation of Process Industry Ministry of Education and Research Center of Automation Northeastern University China Departamento de Control Automatico CINVESTAV Mexicali Mexico

In this paper, a new on-line soft sensing method is proposed for component concentrations of sodium aluminate solution. With this sensing strategy, real-time control and optimization can be realized in aluminate production plants. Several advance techniques are used, such as PLS (Partial Least Squares), Hammerstein model, recurrent neural networks and least square algorithm. Industrial experiment results show that the proposed soft sensing algorithm is effective.

关键词： Nonlinear dynamical systems Recurrent neural networks Computational modeling Heuristic algorithms Temperature measurement Data models Artificial neural networks

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Hailstone detection based on time series association rules

Hailstone detection based on time series association rules

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Zhiying Lu Huan Zhang Hongmin Ma Huizhen Jia School of Electrical Engineering and Automation Tianjin Key Laboratory of Process Measurement and control Tianjin University 300072 China Tianjin Meteorological Bureau 300074 China

Hailstone is one of main meteorological disasters and it is difficult to forecast effectively. In this paper, a new hail echo detection method based on time series association rules was proposed and a hail echo automatic detection system was built. Compared to the existing methods, the test results have shown that this method eliminated hail alert failure completely and also reduced the proportion of false alarm, raising the accuracy of hail forecast. The system was able to assist forecasters to make correct hail forecasts and provide reference to other disastrous weather forecast.

关键词： Time series analysis Association rules Weather forecasting Databases Radar imaging

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Fault Detection Filter Design for Linear Polytopic Uncertain Continuous-time Systems

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自动化学报 2010年第5期36卷 742-750页

作者： WANG Heng JU He-Hua YANG Guang-Hong College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 P.R. China Key Laboratory of Integrated Automation for the Process Industry Ministry of Education Shenyang 110004 P. R. China College of Information Science and Engineering Northeastern University Shenyang 110004 P. R. China

The paper studies the problem of fault detection filter design for uncertain linear continuous-time systems.A design procedure dealing with parameter uncertainties is proposed for residual generation,the sensitivity to fault and the robustness against disturbances are both enhanced on residual outputs through satisfying some performance *** the aid of the generalized Kalman-Yakubovich-Popov(GKYP)lemma,the fault sensitivity performance index can be dealt with in the given frequency range directly,which avoids approximations associated with frequency weights of the existing *** iterative algorithm based on linear matrix inequality(LMI)is given to obtain the solutions.A numerical example is given to illustrate the effectiveness of the proposed methods.

关键词：不连续系统 LMI GKYP 自动化系统

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