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检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"

共 474 条记录，以下是121-130 订阅

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A Wind Turbine Fault Diagnosis Method with Self-updating Model based on SCADA data Mining 7

A Wind Turbine Fault Diagnosis Method with Self-updating Mod...

引用

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

作者： Qu, Fuming Liu, Jinhai Zhang, Yu Feng, Jian Hong, Xiaowei Northeastern Univ Collage Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Datang New Energy Expt Res Inst Beijing 100052 Peoples R China

ISBN: (纸本)9781538626184

this paper presents a fault diagnosis method with self-updating model (FDSU) based on supervisory control and data acquisition (SCADA) data mining. First, a two-step feature selection, including a correlation clustering method and a feature selection method, is proposed to extract the key features. then based on the features, the expert-based and the learning-based models are combined together, so that the diagnosis can be more accurate and more widely applicable. Moreover, a self-updating model mechanism is proposed, which automatically updates the existed expert-based models to the learning-based models. the SCADA data collected from a wind farm in northern China is used in experiments. the results show that FDSU is more effective in WT fault diagnosis. What's more, the efficiency of FDSU can be continuously improved with the accumulation of data.

关键词： Wind Turbine Fault Diagnosis SCADA data data Mining Self-updating Model

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Recursive Autoregressive Dynamic Latent Variable Model for Fault Detection of Dynamic Process with Missing Values 7

Recursive Autoregressive Dynamic Latent Variable Model for F...

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

作者： Zhou, Le Yu, Jiaxin Jie, Jing Song, Zhihuan Zhejiang Univ Sci & Technol Sch Automat & Elect Engn Hangzhou 310023 Zhejiang Peoples R China Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781538626184

For the dynamic processes, both the auto-correlations and the cross-correlations need to be extracted. In the previous work, the autoregressive dynamic latent variable (ARDLV) model is able to achieve this goal since an AR process is used for high-order dynamic process modelling. However, the training data set usually contains the missing values, which leads to the normal ARDLV invalid. In this paper, a novel recursive ARDLV model is proposed for fault detection of the dynamic process with missing values. In the proposed model, the missing value and the model parameters are estimated alternatively in the probabilistic framework. Finally, a case study is illustrated to reveal the performance of proposed method, in which an incomplete data set is used for fault detection purpose.

关键词： Dynamic modelling fault detection missing values Autoregressive Dynamic Latent Variable (ARDLV)

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Identification of a Class of Multi-signal Based Neuro-fuzzy Wiener systems 7

Identification of a Class of Multi-signal Based Neuro-fuzzy ...

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

作者： Li, Yangyang Jia, Li Li, Feng Xiong, Qi Gao, Sheng Shanghai Univ Coll Mech Engn & Automat Dept Automat Shanghai 200072 Peoples R China Shanghai Univ Coll Mechatron Engn & Automat Dept Automat Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China Shanghai Power Equipment Res Inst Co Ltd Shanghai 200240 Peoples R China

ISBN: (纸本)9781538626184

A novel multi-signal based identification approach is presented for the neuro-fuzzy Wiener model with process noise. A combined multi-signal composed of two random signals of different amplitude is adopted to solve the identification problem of the nonlinear block separated from the linear part. then the least square method is employed to identify the nonlinearity of the Wiener model. Next, the linear parameters of the Wiener model are obtained by using the recursive least square method based on auxiliary model. Finally, an example is used to verify the effectiveness of the proposed method.

关键词： multi-signal Wiener system auxiliary model neuro-fuzzy system

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controlled Variables Adaptation to Improve Process Optimality Using Historical Operating data 7

Controlled Variables Adaptation to Improve Process Optimalit...

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

作者： Tao, Wanqing Ye, Lingjian Shen, Feifan Ge, Zhiqiang Song, Zhihuan Zhejiang Univ Ningbo Inst Technol Ningbo 315100 Zhejiang Peoples R China Zhejiang Univ Dept Control Sci & Engn Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781538626184

the selection of controlled variables (CVs) plays an important role in the process optimality and is highlighted in the methodology of self-optimizing control. In general, the self-optimizing control deals with expected disturbances via controlling CVs selected, while the unknown disturbances encountered in practice are not accounted for. A recent two-layer control architecture integrating self-optimizing control and modifier adaptation is able to handle both types of disturbances, which is however not effective in cases when the unknown disturbance are frequent. the controlled variable adaptation strategy proposed in this paper utilizes information in the historical operating data, endowing the self-optimizing control layer an ability of handling either disturbance mentioned above, in the aid of the upper modifier adaptation. Such transformation is beneficial to improve the process optimality because the self-optimizing control works in a much faster time-scale than the modifier adaptation. the Williams-Otto reactor is investigated to show the proposed methodology.

关键词： Chemical process optimization controlled variable self-optimizing control

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Anomaly Detection of Satellite Telemetry in Orbit Based on Sequence and Point Feature Combination 7

Anomaly Detection of Satellite Telemetry in Orbit Based on S...

引用

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

作者： Du, Ying Liang, Xin Wang, Fei Sun, Chao Hua, XiaoFei PLA Unit 63758 Xiamen 361023 Peoples R China Xian Satellite Control Ctr Xian 710043 Shaanxi Peoples R China

ISBN: (纸本)9781538626184

Aiming at the detection problems of low accuracy, high false alarm rate in the detection of satellite telemetry timing data, a satellite telemetry anomaly detection model is presented based on combination of sequence and point features. the model firstly makes steady separation in telemetry data to obtain data trends and steady residual;as the data trends contain most of telemetry sequence information, the non-stationary telemetry sequence feature is reconstructed on each separation layer by performing inverse data trends transform on these coefficients. And stable residual is mainly composed of telemetry random point, the telemetry point feature is reconstructed on the final separation layer by performing inverse steady residual transform on these coefficients. Finally, the integrated anomaly detection model, that is double autoregressive combined model, is constructed by fuse the two features. the results of anomaly detection experiment in the telemetry data of a certain type of satellite power system show that the model can adapt to the complex changes of satellite telemetry data in orbit, reduce decision interference from noise and outliers effectively, reduce the false alarm rate, improve detection precision, achieve effective detection in the anomaly threshold of satellite telemetry data on orbit.

关键词： Telemetry sequence feature point feature anomaly detection Feature combination integrated detection model

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Velocity Decomposition Based Planning Algorithm for Grasping Moving Object 7

Velocity Decomposition Based Planning Algorithm for Grasping...

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

作者： Ye, Xinyu Liu, Shan Zhejiang Univ Coll Control Sci & Engn Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781538626184

An online planning method is proposed for an industrial manipulator to grasp a moving object whose motion is not long-term predictable. Due to the limited time when the moving object stays within the limited workspace of the fixed manipulator, the manipulator has to grasp the object before it leaves the workspace. the planning algorithm brings the end effector of the manipulator to the vicinity of the object quickly and makes it match the pose of the object at first, then grasps the object. In terms of the states of the object and the end effector, the velocity of the end effector is decomposed to three directions. the accelerations of each direction are planned to make sure that the end effector can achieve stably tracking of the moving object in a short time. According to these accelerations, the velocity of the end effector and the joints velocities are obtained through pseudo inverse of the Jacobian matrix of the manipulator. Several simulation examples show that the proposed method can finish the grasping tasks faster than conventional methods.

关键词： motion planning trajectory generation grasping moving object velocity decomposition manipulator

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Vector control of Semi-Submerged Ship Dynamic Positioning Based on Model-Free Adaptive Sliding Mode 7

Vector Control of Semi-Submerged Ship Dynamic Positioning Ba...

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

作者： Yao, Wenlong Wang, Jiali Chi, Ronghu Qingdao Univ Sci & Technol Sch Automat & Elect Engn Qingdao 266061 Peoples R China

ISBN: (纸本)9781538626184

the model-free adaptive sliding mode vector control of propulsion motor is proposed for the semi-submerged ship dynamic positioning system for the problem of dynamic positioning propulsion motor control system with uncertain dynamics and load variations during rough sea conditions. the dynamic linear equation of dynamic positioning propulsion motor is derived. the convergence of the model and the sliding mode control method proves that the pseudo-partial derivative can be adjusted online to ensure the uniform and bounded of tracking error for the propulsion motor control system, and the performance of semi-submerged ship dynamic positioning system based on model-free adaptive sliding mode vector control and self-tuning PI vector control are compared. the simulation results show that the improved vector control has the characteristics of faster convergence speed and smaller steady-state error for the dynamic positioning propulsion motor.

关键词： Dynamic Positioning Propulsion Motor Model-free Adaptive control Sliding Mode control Vector control

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Modeling and Analysis of the Novel Stator Excitation Brushless Motor Based on Active Disturbance Rejection control 7

Modeling and Analysis of the Novel Stator Excitation Brushle...

引用

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

作者： Wang, Kelei Chen, Zengqiang Sun, Mingwei Sun, Qinglin Nankai Univ Coll Comp & Control Engn Tianjin 300071 Peoples R China Key Lab Intelligent Robot Tianjin 300071 Peoples R China

ISBN: (纸本)9781538626184

A novel stator excitation brushless motor having no windings and magnets in the rotor is proposed in this paper. the stator of the motor contains two sets of windings which named three-phase power windings and excitation windings, respectively. In the grasp of the working principles of the stator excitation brushless motor, the mathematical model in the rotor rotating coordinate system is deduced and the characteristics of the model with strongly coupling and strongly nonlinear are verified by simulation. A speed regulating system based on the first-order linear active disturbance rejection control is designed. the linear extended state observer can estimate and compensate the general disturbances, making the flux and torque components decoupled. the simulation results show that the linear active disturbance rejection control not only has better dynamic and static characteristics than traditional PI algorithm, but also has stronger robustness to the load mutation and parameter variations of the motor.

关键词： Active Disturbance Rejection control(ADRC) Stator Excitation Brushless Motor Extend State Observer(ESO) robustness Speed Regulating System

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A Study of Bidirectional Green Wave control Based on Random Optimal Graphical Method 7

A Study of Bidirectional Green Wave Control Based on Random ...

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

作者： Yan, Jiaqing Shao, Peng Chen, Qi Zhang, Ming Li, Zhanying Wang, Li North China Univ Technol Sch Elect & Control Engn Beijing 100144 Peoples R China

ISBN: (纸本)9781538626184

With the increasing number of urban vehicles, traffic congestion is becoming more and more serious. Bidirectional green-wave coordinated control is one of the main ways to alleviate the city traffic congestion and improve the efficiency of city traffic. In this paper, a bidirectional green-wave control method based on random optimal graphic method is proposed. According to the different capacity of the road in both directions, the formula of bandwidth proration coefficient is established, and the green-wave bandwidth is allocated reasonably. the target formula of bidirectional green-wave and the target formula of the bidirectional additional bandwidth of the key intersection are used to find the suitable bidirectional green-wave band. the effectiveness of the method is evaluated using on an arterial road simulated by the VISSIM simulation software, and compared with the traditional graphic method. the simulation results show that the capacity of the optimized arterial road is improved effectively compared with the traditional graphic method.

关键词： Traffic signal control coordinated control bidirectional green-wave control graphical method VISSIM simulation

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Balanced Levitation control of PEMS High Speed Maglev Train Considering System Model Non-Symmetry 7

Balanced Levitation Control of PEMS High Speed Maglev Train ...

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

作者： Wang, Zhiqiang Huang, Cuicui Li, Xiaolong Long, Zhiqiang Natl Univ Def Technol Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781538626184

PEMS (Permanent magnetic and Electro-Magnetic Suspension) high speed maglev train is proposed on the basis of normal EMS (Electro-Magnetic Suspension) high speed maglev train with permanent magnet added into the electromagnet for the purpose of reducing the levitation current. In high speed maglev train, joint structure which consists of two subsystems is the fundamental levitation unit. the advantage of this joint structure is: the two subsystems can share the burden of the load which makes the levitation current small. However, it is found in practical engineering that due to the system non-symmetry, especially the difference between two levitation gap signals, the burden of load is not equally shared which makes one of the subsystem bears almost the entire burden. Under this circumstance the over load subsystem is vulnerable to external disturbances and the other subsystem is not fully taken use of. To solve this problem, a balanced control method is proposed. Simulation results have verified the effectiveness of the balanced control method.

关键词： High speed maglev train PEMS Balanced levitation control Joint structure System non-symmetry

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