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2nd International Workshop on Intelligent Systems and Applications, ISA2010

作者： Xin, Yibo Wu, Xin Fang, Huajing Dep.of Control Science and Engineering HuaZhong University of Science and Technology Wuhan China Dep. of Electrical Engineering and Automation Luoyang Institute of Science and Technology Luoyang 471023 China Dep.of Computer and Information Engineering Luoyang Institute of Science and Technology Luoyang China

ISBN: (纸本)9781424458745

This paper introduces the design of the parallel connection of DC/DC power supplies. The topology of system configuration and performed modeling were stated. The problems such as the ripple electric current sharing of parallel connected DC power modules, and the circuit and the working mode of the DC/DC modules, the configuration of the parallel connection and their solutions were discussed .The system control strategy were analyzed and simulated based on MATLAB/Pspice. The experimental results verify that the parallel connection of DC/DC power is suitable for the low-voltage high-current output DC-DC converter. ©2010 IEEE.

关键词： DC-DC converters

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Nonlinear system identification and control design using adaptive wavelet network 6

Nonlinear system identification and control design using ada...

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6th IFAC Symposium on Nonlinear control Systems, NOLCOS 2004

作者： Karimi, H.R. Lohmann, B. Moshiri, B. Jabchdar Maralani, P. Control and Intelligent Processing Center of Excellence Dept. of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran Institute of Automation University of Bremen Otto-Hahn-Allee NW1 BremenD-28359 Germany

This paper presents an application of wavelet networks in identification and control design tor a class of non-linear dynamical systems. The technique of feedback linearization, supervisory control and H∞ control are used to design an adaptive control law and also the parameters of the wavelet networks arc adapted using a Lyapunov-based design. By some theorems, it will be proved that even in the presence of modelling errors, named network error, the stability of the overall identification scheme and the convergence of the network parameters and the boundedness of the state errors are guaranteed. Copyright © 2004 IFAC.

关键词： Feedback linearization

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Research on Intent Recognition Method for Non-Cooperative Satellite Based on LSTM Network

Research on Intent Recognition Method for Non-Cooperative Sa...

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2023 China automation Congress, CAC 2023

作者： Yihan, Liu Dong, Sun Han, Yan Quanrun, Mu Xiaochao, Liu Pengyuan, Qi School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Institute of Control Engineering National Key Laboratory of Space Intelligent Control Beijing100094 China Beijing Sun Wise Space Technology Ltd. Beijing100190 China Research Institute for Frontier Science Beihang University Beijing China

ISBN: (纸本)9798350303759

With the rapid advancements in space offensive and defensive countermeasure technologies, the scope of international confrontation has expanded beyond the traditional domains of sea, land, and air, reaching into the realm of space. In modern military warfare, the focus has shifted from solely physical and informational aspects to include the cognitive domain. Within this domain, intent recognition emerges as a crucial technology, offering tactical insights and decision-making guidance for future wars. This paper presents an intention recognition algorithm for space target behaviors, utilizing a long short-term memory (LSTM) network. By incorporating time series motion parameters and the relative relationships between enemy and friendly satellite, the algorithm identifies the tactical intentions behind space target orbital behaviors. Additionally, a space target attack and defense scenario simulation environment is established using MATLAB and C-W equations, enabling the creation of a dataset for space target recognition. Through the proposed method, the simulation effectively discerns the orbital behavior intentions of space targets, providing valuable guidance for battlefield decision-making. © 2023 IEEE.

关键词： Long short-term memory

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Trends in the Application of Model Based Fault Detection and Diagnosis of Technical Processes

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IFAC Proceedings Volumes 1996年第1期29卷 6325-6336页

作者： Rolf Isermann Peter Ballé Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University of Darmstadt Landgraf-Georg-Str. 4 D-64283 Darmstadt Germany

After a short view on the historical development of model-based fault detection some proposals for the terminology in the field of supervision, fault detection and diagnosis are stated based on the work within the IFAC Technical Committee SAFEPROCESS. Some basic fault detection and diagnosis methods are briefly considered. Then, an evaluation of publications during the last 5 years shows some trends in the application of model-based fault detection and diagnosis methods.

关键词： Fault detection fault diagnosis supervision actuator faults sensor faults process faults state observer parity space parameter estimation classification diagnostic reasoning

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A Selective Moving Window Partial Least Squares Method and Its Application in Process Modeling

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Chinese Journal of Chemical engineering 2014年第7期22卷 799-804页

作者：徐欧官傅永峰苏宏业李丽娟 Zhijiang College Zhejiang University of Technology State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University College of Automation and Electrical Engineering Nanjing University of Technology

A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high frequency of model updating in previous recursive PLS methods, a selective updating strategy was developed. The model adaptation is activated once the prediction error is larger than a preset threshold, or the model is kept *** a result, the frequency of model updating is reduced greatly, while the change of prediction accuracy is *** performance of the proposed model is better as compared with that of other PLS-based model. The compromise between prediction accuracy and real-time performance can be obtained by regulating the threshold. The guidelines to determine the model parameters are illustrated. In summary, the proposed SMW-PLS method can deal with the slow time-varying processes effectively.

关键词： SMW-PLS Hydro-isomerizafion process Selective updating strategy Soft sensor

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RVFLN-based online adaptive semi-supervised learning algorithm with application to product quality estimation of industrial processes

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Journal of Central South University 2019年第12期26卷 3338-3350页

作者： DAI Wei HU Jin-cheng CHENG Yu-hu WANG Xue-song CHAI Tian-you School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China

Direct online measurement on product quality of industrial processes is difficult to be realized,which leads to a large number of unlabeled samples in modeling ***,it needs to employ semi-supervised learning(SSL)method to establish the soft sensor model of product *** the slow time-varying characteristic of industrial processes,the model parameters should be updated *** to this characteristic,this paper proposes an online adaptive semi-supervised learning algorithm based on random vector functional link network(RVFLN),denoted as *** introducing a L2-fusion term that can be seen a weight deviation constraint,the proposed algorithm unifies the offline and online learning,and achieves smoothness of model parameter *** evaluations both on benchmark testing functions and datasets reveal that the proposed OAS-RVFLN can outperform the conventional methods in learning speed and ***,the OAS-RVFLN is applied to the coal dense medium separation process in coal industry to estimate the ash content of coal product,which further verifies its effectiveness and potential of industrial application.

关键词： semi-supervised learning(SSL) L2-fusion term online adaptation random vector functional link network(RVFLN)

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Research on Performances of Slotted/Slotless High-Speed PM BLDC Motors with Different PM Magnetizations 4

Research on Performances of Slotted/Slotless High-Speed PM B...

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Zhao, Jing Fu, Wenqi Liu, Xiangdong Yang, Liu Yang, Lei Beijing Institute of Technology School of Automation Beijing China Yanshan University School of Mechanical Engineering Hebei China Beijing Institute of Control Engineering Beijing Key Laboratory of Long-Life Technology Precise Rotation and Transmission Mechanisms Beijing China

ISBN: (纸本)9781728171494

This paper deals with the electromagnetic analysis and comparison of the slotted and slotless high-speed permanent magnet (PM) brushless de (BLDC) motors adopting four different PM magnetizations (i.e., parallel magnetization, radial magnetization, Halbach array with parallel and radial magnetizations) through a two-dimensional finite element method (2-D FEM). The models and specifications of the two motors are established and tabulated firstly. Then, the electromagnetic performances include magnetic field distribution, no-load back-EMF, and electromagnetic torque are analyzed. Furtherly, the losses of the slotted and slotless motors with the four PM magnetizations are calculated under no-load and rated load operations. Finally, the two motors' efficiency with different PM magnetizations are performed and compared as well. The suitable scheme of this kind of high-speed PM BLDC motor is recommended. © 2021 IEEE.

关键词： Permanent magnets

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Towards self-tuning residual generators for UAV control surface fault diagnosis

Towards self-tuning residual generators for UAV control surf...

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Conference on control and Fault-Tolerant Systems

作者： Mogens Blanke Soren Hansen Automation and Control Group at Dept. of Electrical Engineering Technical University of Denmark

ISBN: (纸本)9781479928569

control surface fault diagnosis is essential for timely detection of manoeuvring and stability risks for an unmanned aircraft. Timely detection is crucial since control surface related faults impact stability of flight and safety. Reliable diagnosis require well fitting dynamical models but with the high cost of detailed modelling and wind tunnel testing, it would be highly desirable if good diagnosis could be obtained with very generic models that are adapted to individual conditions of aircraft and of its operation. This paper presents an approach where a basic generic model is applied and necessary parameters in residual generators are identified on the fly. Initial estimates of parameters are known from off-line analysis of previous flights. The paper analyses how such self-tuning residual generators are combined with change detection to obtain timely fault diagnosis. The paper investigates the parameter convergence and detection properties for the suggested combination of identification and change detection techniques and shows design aspects and trade-offs to be made to make this scheme an effective and robust system for diagnosis or even prognosis. Results are verified using a number of test flights with different members of a population of UAVs that have inherent model uncertainty from one member to another and from one flight to another. Events with actual faults on control surfaces demonstrates the efficacy of the approach.

关键词： control surfaces Unmanned Aerial Vehicle Fault diagnosis drone honey bees model uncertainty dynamos Test flights TUNNEL TEST Maneuvering inspection technique flight RESIDUAL analysis of flowline

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Microstructure and mechanical properties stability of pre-hardening treatment in Al-Cu alloys for pre-hardening forming process

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International Journal of Minerals,Metallurgy and Materials 2024年第3期31卷 539-551页

作者： Liping Tang Pengfei Wei Zhili Hu Qiu Pang Hubei Longzhong laboratory Xiangyang 441000China Hubei Key Laboratory of Advanced Technology for Automotive Components School of Automotive EngineeringWuhan University of TechnologyWuhan 430070China Hubei Engineering Research Center for Green&Precision Material Forming Wuhan University of TechnologyWuhan 430070China Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education School of Machinery and AutomationWuhan University of Science and TechnologyWuhan 430081China

The stability of the microstructure and mechanical properties of the pre-hardened sheets during the pre-hardening forming(PHF)process directly determines the quality of the formed *** microstructure stability of the pre-hardened sheets was in-vestigated by differential scanning calorimetry(DSC),transmission electron microscopy(TEM),and small angle X-ray scattering(SAXS),while the mechanical properties and formability were analyzed through uniaxial tensile tests and formability *** results in-dicate that the mechanical properties of the pre-hardened alloys exhibited negligible changes after experiencing 1-month natural aging(NA).The deviations of ultimate tensile strength(UTS),yield strength(YS),and sheet formability(Erichsen value)are all less than 2%.Also,after different NA time(from 48 h to 1 month)is applied to alloys before pre-hardening treatment,the pre-hardened alloys possess stable microstructure and mechanical properties as ***,with the extension of NA time before pre-hardening treatment from 48 h to 1 month,the contribution of NA to the pre-hardening treatment is *** a yield strength increment of 20 MPa is achieved,with no loss in *** limited enhancement is mainly attributed to the fact that only a limited number of clusters are transformed into Guinier-Preston(GP)zones at the early stage of pre-hardening treatment,and the formation ofθ''phase inhibits the nucleation and growth of GP zones as the precipitated phase evolves.

关键词： Al-Cu alloy pre-hardened alloy natural aging mechanical properties microstructure

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Model Based Fault Diagnosis and Supervision of Machines and Drives

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IFAC Proceedings Volumes 1990年第8期23卷 1-12页

作者： R. Isermann W. Appel B. Freyermuth A. Fuchs W. Janik D. Neumann Th. Reiss P. Wanke Institute for Control Engineering Laboratory of Control Techniques and Process Automation Technical University Darmstadt Landgraf Georg Straβe 4 D-6100 Darmstadt FRG

The early detection and localization of faults in machines and drives is of primary interest to make further improvements of the reliability and safety. The conventional way is to monitor some important variables like temperatures, pressures, vibrations and to generate alarms if certain limits are exceeded. However, developing internal process faults are only detected at a rather late stage. In recent years research has shown that many process faults can be detected earlier and localized better by using static and dynamic models together with some definite robust sensors. For machines and drives many faults appear as process and signal parameter changes. The contribution describes a general methodology for the fault diagnosis of machines and drives by using few sensors, dynamic process and signal models and parameter estimation. Changes of process and signal parameters are then symptoms, which are fed into a knowledge based fault diagnosis component. Then analytical and heuristic knowledge is treated via fault trees and plausibility measures. The results were obtained in several research projects with machine tools and robots driven by d. c., a.c. and synchroneous motors. Examples show some experimental results.

关键词： Fault detection process monitoring reliability expert system knowledge base parameter estimation industrial robot machine tool feed drive

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