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检索条件"机构=Beijing Key Laboratory of Measurement and Control Technology and System for Industrial Process"

共 165 条记录，以下是141-150 订阅

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Dynamic weighted fusion of multi-source information for large rotating machinery fault prediction

Dynamic weighted fusion of multi-source information for larg...

引用

2010 International Conference on Intelligent Computation technology and Automation, ICICTA 2010

作者： Sun, Jianghong Zuo, Yunbo Xu, Xiaoli School of Electro Mechanical Engineering Beijing Information Science and Technology University Beijing China Beijing Institute of Technology School of Mechanical and Vehicular Engineering Beijing China Beijing Key Laboratory -Measurement and Control of Mechanical and Electrical System Beijing China

ISBN: (纸本)9780769540771

Data process of large rotating machinery is in line with basic features of information fusion. The fault deterioration is extracted from the pattern spectrum as the fault feature , and its trend is predicted by the information fusion which is based on the dynamic weighted method for single-sensor and multi-sensors respectively. Actual example of beijing Yanshan Petrochemical Co. shows the correction of conclusion. © 2010 IEEE.

关键词： Information fusion

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Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

引用

作者： Zhang, Jianhua Cai, Lei Wang, Hong Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China North China Electric Power University Beijing 102206 China University of Manchester Manchester M60 1 QD United Kingdom

ISBN: (纸本)9780955529337

In this paper, a mmlmum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NeSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Networked control systems

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Network-based reliable H_∞ filter designing for the systems with sensor failures

Network-based reliable H<sub>∞</sub> filter designing for t...

引用

2010 International Conference on Modelling, Identification and control, ICMIC 2010

作者： Lilong, Du Zhou, Gu Jinliang, Liu Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing China School of Power Engineering Nanjing Normal University Nanjing Jiangsu China College of Information Science and Technology Donghua University Shanghai China

This paper is concerned with the reliable filtering problem for network-based linear continuous-time system with sensor failures, The purpose of the addressed filtering problem is to design a filter such that the error dynamics of the filtering process is stable. By using the linear matrix inequality (LMI) method, sufficient conditions are established that ensure the filter parameters are characterized by the solution to a set of LMIs. Simulation results are provided to illustrate effectiveness of the proposed method.

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Adaptive tracking control of underactuated quadrotor unmanned aerial vehicles via backstepping

Adaptive tracking control of underactuated quadrotor unmanne...

引用

作者： Huang, Mu Xian, Bin Diao, Chen Yang, Kaiyan 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)9781424474264

This paper considers about the control problem for an underactuated quadrotor UAV system with model parameter uncertainty. Backstepping based techniques are utilized to design a nonlinear adaptive controller which can compensate for the mass uncertainty of the vehicle. Lyapunov based stability analysis shows that the proposed control design yields asymptotic tracking for the UAV's motion in x, y, z direction and the yaw rotation, while keep the stability of the closed loop dynamics of the quadrotor UAV. Numerical simulation results are provided to show the good tracking performance of proposed control laws. © 2010 AACC.

关键词： Backstepping

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Internal model control for hysteretic nonlinear systems based on support vector regression

Internal model control for hysteretic nonlinear systems base...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Wenguang Zhang Jianqin Mao Yanhua Ma Beijing Key Laboratory of Measurement and Control Technology and System for Industrial Process Control & Computer Engineering School North China Electric Power University Beijing China School of Automation Science and Electrical Engineering Beijing Aeronautics and Astronautics University Beijing China

Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.

关键词： Support vector machines Actuators Automation Data models Computational modeling Hysteresis Magnetostriction

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A nonlinear robust control design combined with neural network for a 3 degree of freedom (DOF) helicopter

A nonlinear robust control design combined with neural netwo...

引用

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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Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Jianhua Zhang Lei Cai Hong Wang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China North China Electric Power University Beijing China University of Manchester Institute of Science and Technology Manchester UK

In this paper, a minimum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NCSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Radio access networks Noise

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Nonlinear output feedback control design of a hypersonic vehicle via high gain observers

Nonlinear output feedback control design of a hypersonic veh...

引用

IEEE International Symposium on Intelligent control (ISIC)

作者： Xindong Li Bin Xian Chen Diao Yanping Yu Kaiyan Yang Yu Feng Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin China Chinese State Nuclear Power Technology Corporation LTD Beijing China

In this paper, the output feedback control problem for a genetic hypersonic vehicle is considered under the restriction that only the vehicle's velocity and altitude are measurable. High gain observers (HGO) are utilized to provide estimation signals for unmeasurable derivatives of the vehicle's velocity and altitude. A comprehensive stability analysis of the closed loop system under the output feedback control is carried to prove that the proposed control law yields semiglobal uniformly ultimately bounded tracking while keep all the closed loop signals bounded. Numerical simulation results are presented to validate the proposed control design.

关键词： Vehicles Vehicle dynamics Output feedback control design Aerodynamics Observers Trajectory

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Single Sensor Information Fusion for Local Fault Prediction of Large Rotating Machinery

Single Sensor Information Fusion for Local Fault Prediction ...

引用

International Conference on Electrical and control Engineering (ICECE)

作者： Sun Jianghong Zuo Yunbo Xu Xiaoli School of ElectroMechanical Engineering Beijing Information Science and Technology University Beijing China School of Mechanical & Vehicular Engineering Beijing Institute of Technology Beijing China Beijing Key Laboratory Measurement and Control of Mechanical and Electrical System Beijing China

Data process of large rotating machinery is in line with basic features of information fusion. A framework of fault diagnosis and prediction based on sensor information fusion is built. An improved extracting method of features is used to deal with the information fusion of single sensor, which raises the calculation efficiency and precision. The local fault prediction process is presented, and the fault deterioration trend is judged on the basis of dynamic weighted method. Actual example of beijing Yanshan Petrochemical Co. shows the correction of conclusion.

关键词： Machinery Feature extraction Fault diagnosis Vibrations Accuracy Turbines Monitoring

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Fuzzy dynamic characteristic modeling and intelligent adaptive control for complex spacecraft

Fuzzy dynamic characteristic modeling and intelligent adapti...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Xiong Luo Song Hu Zengqi Sun Xintao Qiu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristic modeling and control approach is an effective way to solve this problem. Aimed at the flexible satellites described by using characteristic modeling approach, with the help of fuzzy rules, fuzzy dynamic characteristic modeling method and intelligent adaptive controller are designed to control this complex spacecraft. Meanwhile, based on the satellite system simulation platform, we validate the correctness and efficiency of the proposed modeling and control method by comparing with the simulation results of the other similar methods.

关键词： Adaptation model Laboratories Satellites Space vehicles Intelligent control Artificial intelligence Information science

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