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检索条件"任意字段=13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024"

共 716 条记录，以下是701-710 订阅

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A KNN-SVR data Mending Method for Insufficient data of Magnetic Flux Leakage Detection 7

A KNN-SVR Data Mending Method for Insufficient Data of Magne...

引用

ieee 7th data driven control and learning systems conference (ddcls)

作者： Zhang, Xinbo Feng, Jian Yao, Zhiqiang Liu, Jinhai Zhang, Huaguang Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China China Acad Safety Sci & Technol Beijing 100012 Peoples R China

ISBN: (纸本)9781538626184

In magnetic flux leakage (MFL) detection, transient fault appears unavoidably on individual sensor when we collect magnetic flux leakage signals, which makes MFL data insufficient. data mending for insufficient data concerns the accuracy of the defects inversion. A precise data mending method based on K Nearest Neighbor-Support Vector Regression (KNN-SVR) is introduced, which effectively reduces the training cost of SVR and greatly improves the accuracy of the algorithm. the method is tested by experiment data obtained. the results demonstrate that the proposed method can improve the accuracy rate of data mending of insufficient data with an acceptable time cost.

关键词： data mending K Nearest Neighbor Support Vector Regression magnetic flux leakage detection insufficient data

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Smart Distribution Network Operating Condition Recognition Based on Big data Analysis 6

Smart Distribution Network Operating Condition Recognition B...

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2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Min Fan Bo Zhang Qiang Yao Jianliang Zhang Darong Huang Qi Han College of Automation Chongqing University China Electric Power Research Institute

ISBN: (纸本)9781509054626

In order to guarantee the power quality and the highly efficient operation of the power network, a reliable operating condition recognition system of distribution networks is necessary. To solve the problem of multi-condition recognition, an operating condition recognition system based on the workflow of decision-making tree is proposed. Big data of waveforms acquired by an online recording system is transformed into characteristics through time-domain, frequency-domain and wavelet transformation, and ANN(Artificial Neural Networks) models is automatically built with the training of those characteristics of waveform data. As shown by the experimental results, this recognition system can accurately recognize operating conditions and improve the automatic operating capacity of distribution networks.

关键词： Condition Recognition ANN Decision-making Tree Smart Distribution Network

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3D Reconstruction of Non-cooperative Target Based on Line Correspondences 6

3D Reconstruction of Non-cooperative Target Based on Line Co...

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2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Wei Shao Yin Ma Tianhao Gu College of Automation&Electronic Engineering Qingdao University of Science and Technology

ISBN: (纸本)9781509054626

Due to the development of aerospace technology in China, this paper proposes a method of characteristic line detection and matching to reconstruct the non-cooperative target. the geometric and algebraic constraints are given by its 2 D images, and the linear equations about position and attitude of the aircraft relative to the non-cooperative target are deduced by n lines(n>13). then, by using the least-square method, the aircraft's motions are obtained. Lastly, the 3 D target is reconstructed by utilizing aircraft's position and attitude. the extensive experiments over simulated images and parameters demonstrate the robustness, accuracy and effectiveness of the proposed method.

关键词： Line correspondences 3D-reconstruction Artificial satellite Image processing

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Interactive ADRC Design for Flight Attitude control 6

Interactive ADRC Design for Flight Attitude Control

引用

2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Shunjian Ma Mingwei Sun Zengqiang Chen College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics

ISBN: (纸本)9781509054626

Flight vehicle attitude control is of great importance. In this paper, a flight controller based on active disturbance rejection control(ADRC) is proposed. then stability margin tester is utilized to tune the parameters of the controller to meet the specified stability margins, which will serve as a practical tuning method in practice. Moreover, the CAD software based on MATLAB GUI is designed to integrate the tuning and simulation process. then the simulations are implemented to demonstrate the effectiveness of this controller and tuning method.

关键词： Flight attitude control ADRC Stability margin tester Software

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A New Method of the Shortest Path Planning for Unmanned Aerial Vehicles 6

A New Method of the Shortest Path Planning for Unmanned Aeri...

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2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Darong Huang Dong Zhao Ling Zhao School of Information Science and Engineering Chongqing Jiaotong University Department of real estate equipment engineering Chongqing real estate college

ISBN: (纸本)9781509054626

In this paper, the optimal route and deployment scheme are designed to ensure the shortest retention time for unmanned aerial vehicles(UAV) in risk area. Firstly, according to the known data and radar scanning range, the regional distribution map of target grope and base are obtained, respectively. Secondly, based on the different scanning bandwidth of loads, target points are classified by using clustering analysis. this makes the target points fall on the scanning bandwidth of UAV as far as possible, accordingly reducing the UAV's scanning times. this problem can be regarded as a travelling salesman problem in radar scanning range. Finally, the deployment result and locally optimal route are obtained by 0-1 programming in LINGO. Furthermore, particle swarm optimization is used to improve the local optimal path and the global optimal route can then be generated.

关键词： UAV GA PSO the Shortest Path

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A Short-term Traffic Flow Forecasting Method Based on Markov Chain and Grey Verhulst Model 6

A Short-term Traffic Flow Forecasting Method Based on Markov...

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2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Darong Huang Zhenping Deng Ling Zhao Bo Mi Institute of Information Science and Engineering Chongqing Jiaotong University

ISBN: (纸本)9781509054626

the traffic system is a nonlinear and time-varying complex system with the human body being involved. At the same time, the highly uncertain and nonlinear of short-term traffic flow has been presented due to the complicated factors such as road construction, traffic accident, complex weather and trip distribution. et. So the short-term traffic flow prediction is more difficult than the long-term forecast. First of all, aiming at the uncertain and time-varying characteristics of the short-term traffic flow, the main single-model prediction methods and the combination forecast models are summarized and analyzed. Finally, a combined forecasting method based on Markov chain theory and grey Verhuls model with less data demand and parameter is proposed. the experimental results show that the combined model can obtain a high prediction accuracy.

关键词： Traffic System Traffic Flow Forecasting Markov Chain Grey Verhuls Model

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Model Free control Based Nonlinear Integral-backstepping control for Blood Glucose Regulation 6

Model Free Control Based Nonlinear Integral-backstepping Con...

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2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Qi Wu Haoping Wang Yang Tian Sino-French International Joint Laboratory of Automatic Control and Signal Processing School of Automation Nanjing University of Science ＆ Technology

ISBN: (纸本)9781509054626

In this paper, a Model Free control based Nonlinear Integral Backstepping control（MFC-NIB） strategy is developed and applied to blood glucose regulation systems, which is a typical biological system with parameter variations, uncertainties and external disturbances. Firstly, an Intelligent Proportional controller（iP）, which is based on model-free theory and whose algebraic estimation technique is replaced by a Time-Delay Estimation（TDE） method is developed. Secondly, to improve the control convergence, the MFC-NIB is studied based on the proposed iP. Finally, to demonstrate the performance and effectiveness of the proposed method MFC-NIB, the simulations with comparisons with iP have been implemented on the referred glycemia regulation systems.

关键词： Glycemia regulation Model-free control Time-delay estimation Model-free control based nonlinear integral backstepping control

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Quantitative Relationship in Terms of Time-Delay Tolerance of Two Kinds of Extended State Observers 6

Quantitative Relationship in Terms of Time-Delay Tolerance o...

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2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Minnan Piao Kai Zhu Mingwei Sun Zenghui Wang Zengqiang Chen College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University

ISBN: (纸本)9781509054626

Active Disturbance Rejection control(ADRC), an innovative control method, has been applied successfully in dealing with internal uncertainties and external disturbances. However, ADRC for time-delay plants is still a challenge due to the restriction on the bandwidth of the extended state observer(ESO). When designing the ESO for time-delay plants, both fullorder and reduced-order extended state observers can be utilized and the selection of the proper order and the bandwidth of the ESO is necessary. therefore we seek to compare the two kinds of observers in terms of the time-delay tolerance of the closedloop stability and find an appropriate bandwidth to ensure the robustness to the time-delay uncertainty. First, the quantitative bandwidth relationship between the two kinds of observers is established with the equivalent effective bandwidth, and then the time-delay tolerance of the closed-loop stability are calculated for the first-and second-order plants to conduct the comparison,whilst the effects of the bandwidth and other parameters on the time-delay tolerance is analyzed. Furthermore, simulation results for a second-order plant are provided to verify the meaning of this investigation.

关键词： ADRC Extended State Observer Effective Bandwidth Time-Delay Tolerance

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A Novel Rotor Position Detection Method Using Morphological Filter Algorithm for Brushless DC Motor 6

A Novel Rotor Position Detection Method Using Morphological ...

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2017 ieee 6th data driven control and learning systems conference (ddcls’17)

作者： Yin Zhang Xiao-Hua Zhou Yu-Wei Zhang Xi-Sheng Dai School of Electrical and Information Engineering Guangxi University of Science and Technology Key Laboratory of Industrial Process Intelligent Control Technology of Guangxi Higher Education Institute Guangxi key laboratory of Automobile Components and Vehicle technology

ISBN: (纸本)9781509054626

In this paper, by analyzing the relationship between rotor position and phase back electromotive forces(PB-EMFs) of brushless DC motor(BLDCM), a novel rotor position detection method based on morphological filter algorithm(MFA) for BLDCM is proposed. MFA is applied to identify the signal turning points(STPs) of the input stator PB-EMFs, which provides technical support for the current commutations of PWM control system. In addition, accurate current commutation point detection of BLDCM promises rotor field to keep perpendicularity with armature magnetic field, to achieve accurate detection of rotor position and position sensorless control of BLDCM. Results of simulation studies proved that, the proposed detection method can realize the position sensorless control for BLDCM by obtaining the STPs of PB-EMFs in BLDCM, which greatly improves the static and dynamic performance of speed regulation system of BLDCM, and obtaining a outstanding control effect.

关键词： Brushless DC Motor Detection of Rotor Position Phase Back Electromotive Force Morphological Filter Algorithm Position Sensorless control

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learning-based Modeling and control of Underactuated Balance Robotic systems 13

Learning-based Modeling and Control of Underactuated Balance...

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13th ieee conference on Automation Science and Engineering (ieee CASE)

作者： Chen, Kuo Yi, Jingang Liu, Tao Rutgers State Univ Dept Mech & Aerosp Engn Piscataway NJ 08854 USA Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Sch Mech Engn Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781509067817

Underactuated balance robots represent a broad class of mechanical systems, ranging from Furuta pendulum, autonomous motorcycles, and robotic bipedal walkers, etc. the control tasks of these systems include trajectory tracking and balancing requirements. We present a data-driven modeling and control framework of the underactuated balance robots. A machine-learning method is used to capture the dynamics and the balance equilibrium manifold that represents balancing task target. We combine the learning-based models with the structural properties of the external/internal convertible form of these underactuated systems. Applications of the proposed learning-based models and control design are applied to the Furuta pendulum by simulation and experiments.

关键词： Analytical models Legged locomotion control design Manifolds Aerodynamics

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