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第三十三届中国控制会议

作者： Jun Yang Zhenhua Zhao Shihua Li Wei Xing Zheng School of Automation Southeast UniversityKey laboratory of Measurement and Control of CSEMinistry of Education School of Computing Engineering and MathematicsUniversity of Western Sydney

ISBN: (纸本)9781479947249

The robust optimized tracking control problem for a generic airbreathing hypersonic vehicle(AHV) subject to nonvanishing mismatched disturbances/uncertainties is investigated in this paper.A baseline nonlinear model predictive controller(MPC) is firstly introduced for optimized tracking control of the nominal dynamics.A nonlinear disturbance observer(NDO)based control law is then developed for robustness enhancement in the presence of both external disturbances and *** with the existing robust tracking control methods for AHVs,the proposed composite nonlinear MPC method obtains not only promising robustness and disturbance rejection performance but also optimized nominal tracking control *** merits of the proposed method are validated by implementing simulation studies on the AHV system.

关键词： Airbreathing hypersonic vehicle,Nonlinear model predictive control,Mismatched disturbance rejection

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Distributed differential evolution algorithm with adaptive parameters

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Kongzhi yu Juece/control and Decision 2014年第4期29卷 701-706页

作者： Zhang, Chun-Mei Chen, Jie Xin, Bin School of Automation Ministry of Education Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China

An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migration condition is satisfied, the best individual in each subpopulation will replace the worst individual of its neighbor subpopulations according to the Von Neumann topology. The migration mechanism among subpopulations enables the information to be communicated in the whole population. Meanwhile, the adaptive mechanism of F and CR is presented for assigning different F and CR to each individual according to the individual's fitness. Numerical results show that, the proposed algorithm is beneficial to explore the solution space, which can avoid the premature convergence and search the excellent solutions.

关键词： Optimization

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Fault diagnosis and early warning of motorized spindle system

Fault diagnosis and early warning of motorized spindle syste...

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第五届国际自动化测试与仪器仪表学术会议

作者： Xu Xiaoli Meng Lingxia Key Laboratory of Modern Measurement & Control Technology(Ministry of Education) Beijing Information Science & Technology University School of Mechanical Engineering Beijing Institute of Technology

Motorized spindle system is the key functional part of the high speed CNC machine and it directly affect the accuracy and reliability of the whole machine.A dynamic model of motorized spindle system has been built By analyzing the motorized spindle *** to the model,the paper studies the mechanisms of motorized spindle common faults,such as unbalance,impact-rub,bearing failure,and support looseness,and offers the general methods and procedures for the fault diagnosis of high-grade motorized spindle *** addition,a intelligent multi-information fusion condition monitoring and fault diagnosis platform of CNC motorized spindle system was *** diagnosis was made in motorized spindle system with a eccentric *** study can greatly improve the level of machine tool production and serve as key technique for rotary machine such as NC machine and wind generating sets.

关键词： Fault Diagnosis Fault Mechanism Numerical control Machine Motorized Spindle System

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Fault diagnosis of wind power equipment of manifold diagram of axis orbit diagram based on ALTSA

Fault diagnosis of wind power equipment of manifold diagram ...

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第五届国际自动化测试与仪器仪表学术会议

作者： Meng Lingxia Xu Xiaoli Key Laboratory of Modern Measurement & Control Technology(Ministry of Education) Beijing Information Science & Technology University School of Mechanical Engineering Beijing Institute of Technology

Wind power rotary machines usually work in complex conditions,and fault development trend information is easy to be overwhelmed by load changes,noise and other non-fault information and easy to cause ***,it's necessary to research the feature extraction method of manifold diagram of three-dimensional(3D) axis orbit diagram to realize the weak fault information acquisition of graphic form on varying working condition for rotary *** field data collection and processing on wind generating sets,it can efficiently inhibit the wind regime and noise *** research results can provide a new approach for extraction of mechanical fault features to improving the accuracy and effectiveness of fault trends prediction of rotary machines on complex conditions.

关键词： axis orbit diagram manifold learning varying working condition

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Delay-dependent H∞ control for Lurie type singular time-delay systems

Delay-dependent H∞ control for Lurie type singular time-del...

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Chinese control and Decision Conference, CCDC

作者： Liu Xiaomei Kanjian Zhang Shengtao Li Shumin Fei Haikun Wei Key Laboratory of Measurement and Control of CSE (School of Automation Southeast University) Ministry of Education Nanjing 210096 China Key Laboratory of Measurement and Control of CSE Southeast University Nanjing China School of Information Science & Engineering Shandong Normal University Jinan China

In this paper, the design of delay-dependent H ∞ controller for a class of singular Lurie systems with state-delay is studied. Delay-dependent sufficient condition is obtained in terms of matrix inequalities to ensure the resultant closed-loop system regularity, free of impulses, global uniform asymptotically stable and a prescribed H ∞ performance. Furthermore, an LMI based state feedback H ∞ control law is developed to guarantee robust stability for the resulting closed-loop system. Numerical example demonstrates that the proposed method is effective.

关键词： Decision support systems

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Multi-sensor distributed fault detection method based on uncertainty reasoning

Multi-sensor distributed fault detection method based on unc...

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第五届国际自动化测试与仪器仪表学术会议

作者： Liu Xiuli Xu Xiaoli School of Mechanical and Vehicle Engineering Beijing Institute of Technology Key Laboratory of Modern Measurement & Control Technology of Ministry of Education Beijing Information Science and Technology University

Each sensor detection information presents problems under uncertainty in high-grade CNC machine fault *** at this problem,multi-sensor distributed fault detection method based on uncertainty reasoning is *** algorithm by using subjective Bayesian inference,acquire the local detection device of decision rules,and select the local decision rules suitable to the fusion center,finally produced a global *** complex vertical machining center as an example,the distributed multiple sensor fault detection platform is *** sample is acquired using multi sensor sample on different machine running state and running environment Experiments show that this method has the advantages of high recognition rate of fault information,diagnosis speed,in the fault diagnosis system contains a lot of information uncertainty,diagnosis error rate of multi-sensor distributed detection fusion algorithm is significantly lower than that of single sensor,and multi-sensor parallel distributed detection structure of complex vertical machining center fusion diagnostic error rate is lower than the serial structure.

关键词： Uncertainty Reasoning Multi-sensor Fault detection Information fusion

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IEGABP fault prediction model for wind power gearbox

IEGABP fault prediction model for wind power gearbox

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第五届国际自动化测试与仪器仪表学术会议

作者： Xu Xiaoli Liu Xiuli School of Mechanical and Vehicle Engineering Beijing Institute of Technology Key Laboratory of Modern Measurement & Control Technology of Ministry of Education Beijing Information Science and Technology University

Gearbox is the key component of large scale wind turbines,should adopt suitable forecasting model to predict the *** algorithm optimization BP neural network prediction mode based on information entropy is *** model can be used to optimize the parameters of neural network weights,and improve the prediction accuracy and timeliness with the use of the contribution of different vibration data to *** data of wind turbine gearbox is acquired on site,and IEGABP model and BP neural network structure parameter model of artificial experience are used to predict and compared the result,the results show that the former has achieved good results in the prediction accuracy,prediction of real-time.

关键词： Wind Power Gearbox Information Entropy Genetic Algorithms(GA) BP neural network

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CNC machine tool wear monitoring method based on BP neural network and multi-sensor information fusion

CNC machine tool wear monitoring method based on BP neural n...

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第五届国际自动化测试与仪器仪表学术会议

The vibration signal and different tool wear signal are detected by vibration sensors and acoustic emission *** on the analysis of these signals,the appropriate indicators as the amount of too! wear characteristics are *** use of BP neural Network algorithm to MATLAB as a platfonn,a tool wear and tool wear characteristic vector nonlinear relationship between the states is built,enabling the tool condition monitoring system modeling and simulation.

关键词： Information fusion BP neutral network Vibration AE CNC machine tools

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Mars entry trajectory tracking via constrained multi-model predictive control

Mars entry trajectory tracking via constrained multi-model p...

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Chinese control Conference (CCC)

作者： Chao Wu Shihua Li Jun Yang Lei Guo Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing Jiangsu CN School of Automation Science and Electrical Engineering Beihang University & Institute of Instrument Science and Opto-Electronics Engineering Beijing CN

Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problems. Facing these challenges, the Mars entry trajectory tracking scheme via constrained multi-model predictive control (CMPC) is employed. The CMPC is made up of some constrained predictive control (CPC) in different time domain during the Mars entry mission. Each constrained predictive controller consists of a linearized prediction model (obtained by linearizing at different operating point), feedback correction for active model mismatch rejection caused by the complex uncertainties, and constrained rolling optimization for a smooth control input under a saturation constraint. Monte Carlo simulations demonstrate the effectiveness and excellence of the proposed method under the saturation constraint of input and uncertainties of initial state and aerodynamic parameters such as atmospheric density, ballistic coefficient and lift-to-drag ratio.

关键词： Mars Aerodynamics Uncertainty Trajectory Predictive models Vehicles Predictive control

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Relaxed nonfragile H∞ filter designs for T-S fuzzy systems

Relaxed nonfragile H∞ filter designs for T-S fuzzy systems

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Chinese control Conference (CCC)

作者： Juntao Pan Shumin Fei Fang Liu Yong Niu School of Electrical and Information Engineering Beifang University of Nationalities Yinchuan China Key Laboratory of Measurement and Control of CSE of Ministry of Education Southeast University Nanjing Jiangsu CN

This paper deals with the problem of nonfragile H ∞ filter design for a class of discrete-time nonlinear systems that are represented by a Takagi-Sugeno (T-S) fuzzy models. New method of nonfragile H ∞ filter design is derived based on a relaxed approach in which both Finsler's Lemma and delayed nonquadratic Lyapunov function are used. Compared with the existing results, more slack matrices are introduced in the design conditions which significantly enlarge the solution set of filter parameters. Moreover, conditions for the solvability of filter design given here are written in the form of linear matrix inequalities (LMIs) which can be efficiently solved by convex optimization techniques. An example is given to demonstrate the validity and applicability of the proposed approach.

关键词： Fuzzy systems Lyapunov methods Bismuth Takagi-Sugeno model Linear matrix inequalities Nonlinear systems educational institutions

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