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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111-120 订阅

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An Arm Isolation and Reconfiguration Fault Tolerant control Method Based on data-driven Methodology for Cascaded Seven-level Inverter 7

An Arm Isolation and Reconfiguration Fault Tolerant Control ...

引用

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

作者： Zhang, Jiahui Liu, Zhuo Wang, Tianzhen Benbouzid, M. E. H. Wang, Yide Shanghai Maritime Univ Logist Engn Coll Shanghai 200000 Peoples R China Univ Brest F-224022 Brest France

ISBN: (纸本)9781538626184

Inverts, especially multi-level inverters are widely used in many fields, such as industrial production, transportation, aviation and so on. So great significance should be attached to the diagnosis and fault tolerance of inverters to keep the stability of systems. data-driven approaches make full use of the process data to monitor the systems, so the voltage signals are collected firstly and then preprocessed and processed by specific strategy, fault labels will be produced hereafter. When the fault labels from data-driven fault detection and diagnosis system are generated, relevant fault tolerant control method will be activated in fault tolerant control system. Some measurements are necessary to achieve the higher utilization ratio of healthy IGBTs and sinusoidal output voltage. Based on above consideration, a group isolation and reconfiguration fault tolerant control method based on data-driven methodology for cascaded seven-level inverter is proposed here to reconfigure the SPWM, in which every H-bridge is divided into two groups. the simulation of cascaded seven-level inverter is built and the result indicates that the utilization of healthy IGBTs is improved.

关键词： data-driven fault detection and diagnosis fault tolerant control IGBT fault Group isolation and reconfiguration

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Ensemble of Extreme learning Machines for Regression 7

Ensemble of Extreme Learning Machines for Regression

引用

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

作者： Khellal, Atmane Ma, Hongbin Fei, Qing Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China Beijing Inst Technol State Key Lab Intelligent Control & Decis Complex Beijing 100081 Peoples R China

ISBN: (纸本)9781538626184

Regression, as a particular task of machine learning, performs a vital part in data-driven modeling, by finding the connections between the system state variables without any explicit knowledge about the system, using a collection of inputoutput data. To enhance the prediction performance and maximize the training speed, we propose a fully learnable ensemble of Extreme learning Machines (ELMs) for regression. the developed approach learns the combination of different individual models, using the ELM algorithm, which is applied to minimize both the prediction error and the norm of the network parameters, which leads to higher generalization performance under Bartlett's theory. Moreover, the average based ELM ensemble may be viewed as a particular case of our model. Extensive experiments on many standard regression benchmark datasets have been carried out, and comparison with different models has been performed. the experimental findings confirm that the proposed ensemble can reach competitive results in term of the generalization performance, and the training speed. Furthermore, the influence of different hyperparameters on the performance, in term of the prediction error and the training speed, of the developed model has been investigated to provide a meaningful guideline to practical applications.

关键词： data-driven approach Ensemble Extreme learning Machine Regression

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Robust H∞ Stability for Lurie Nonlinear Stochastic Network control systems with Time-Varying Delay 7

Robust <i>H</i>∞ Stability for Lurie Nonlinear Stochastic N...

引用

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

作者： Lu, Hongqian Guo, Chaoqun Hu, Yue Liu, Xingping Chen, Hongwei Qilu Univ Technol Shandong Acad Sci Sch Elect Engn & Automat Jinan Shandong Peoples R China Ji Nan Bldg Source Cement Prod Co LTD Jinan Shandong Peoples R China

ISBN: (纸本)9781538626184

this paper researches the robust H infinity stochastic stability criterion of lurie nonlinear stochastic network control system containing time-varying delay. Common network control systems are feedback systems and more and more network control systems possess nonlinear and stochastic character. the parameter uncertainties are concerned directly to the network control system. this note employs the improved free weighting matrix (IFWM) method to analyze the lurie nonlinear stochastic network system's robust H infinity stochastic stability criterion. A numerical example is presented to demonstrate the suitability of the method put forward in this paper.

关键词： Network control systems Robust H infinity Stability Stochastic and Nonlinear

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Tracking control Strategy of PMSLM with A Novel Observer-based Compensator and A RBFNN-based controller 7

Tracking Control Strategy of PMSLM with A Novel Observer-bas...

引用

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

作者： Liu, Zhentian Wang, Guangsen Wang, Zhiwei Naval Univ Engn Natl Key Lab Sci & Technol Vessel Integrated Powe Wuhan 430033 Hubei Peoples R China

ISBN: (纸本)9781538626184

this paper is devoted to a high-precision tracking control strategy of permanent magnet synchronous linear motor (PMSLM). Firstly, the field-oriented control model of the PMSLM is established to calculate the electromagnetic thrust. To reconstruct the system states and reject the lump disturbance, a novel observer-based compensator is proposed, by taking the basic ideas of the frequency-domain disturbance observer and the time-domain one (the extended state observer in active disturbance rejection control, ADRC). A radial-basis-function neural network (RBFNN) controller with accurate approximation capability is utilized to tracking the desired motion trajectory. Contrasted to the RBFNN's parameters self-evolved, a simple and unique parameters tuning method is derived to guarantee the compensator performance. All the proposed algorithms are implemented in a rapid control prototype (RCP) real-time simulation platform and the simulation and experiment results validate the rightness of theoretical analysis and the feasibility of the proposed methods.

关键词： Observer-based compensator permanent magnet linear synchronous motor parameters tuning RBFNN

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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...

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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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On Extended State Based Kalman-Bucy Filter 7

On Extended State Based Kalman-Bucy Filter

引用

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

作者： Zhang, Xiaocheng Xue, Wenchao Fang, Haitao He, Xingkang Chinese Acad Sci Acad Math & Syst Sci NCMIS LSC Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Math Sci Beijing 100049 Peoples R China

ISBN: (纸本)9781538626184

this paper studies the state estimation problem for a class of continuous-time stochastic systems with unknown nonlinear dynamics and measurement noise. Enlightened by the extended state observer (ESO) in timely estimating both the internal unknown dynamics and the external disturbance of systems, the paper constructs the extended state based Kalman-Bucy filter (ESKBF) to achieve better filtering performance. It is shown that ESKBF can provide the upper bound of the covariance matrix of estimation error, which is critical in evaluating the filtering precision. Besides, the stability of ESKBF is rigorously proven in the presence of unknown nonlinear dynamics, while the stability of traditional Kalman-Bucy filter is hard to be guaranteed under the same condition. Moreover, the asymptotic optimality of ESKBF for time-invariant system under constant disturbance is given. Finally, numerical simulations show the effectiveness of the method.

关键词： extended state observer Kalman-Bucy filter continuous-time stochastic systems consistency stability optimality

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Quantum Noise Protection via Weak Measurement for Quantum Mixed States 7

Quantum Noise Protection via Weak Measurement for Quantum Mi...

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

作者： Harraz, Sajede Cong, Shuang Shuang, Feng Univ Sci & Technol China Dept Automat Hefei 230027 Anhui Peoples R China Chinese Acad Sci Inst Intelligent Machines Hefei 230031 Anhui Peoples R China

ISBN: (纸本)9781538626184

Due to the interaction with the environment, a quantum state is often affected by the different types of noises which becomes to one of the biggest problems for practical quantum computation. We study the possibility of protecting the mixed state of a quantum system that goes through noise by weak measurements and control operations. the aim is to find the optimal measurement strength and control operations and make the input and output states as close as possible. We show that our scheme can effectively protect arbitrary mixed states against typical types of noise sources: amplitude damping, phase damping and amplitude-phase damping. the optimal measurement and control operators are deduced in different bases of the Bloch sphere to find the best control scheme for each type of noise. the effectiveness of our control scheme is demonstrated by simulation results.

关键词： Open quantum system optimal noise protection weak measurement quantum system control

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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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A data-driven optimal ILC method incorporated with extended state observer for nonlinear discrete-time repetitive systems 7

A data-driven optimal ILC method incorporated with extended ...

引用

7th ieee data driven control and learning systems conference, ddcls 2018

作者： Yu, Hui Shuhua, Zhang Ronghu, Chi School of Automation Electronic Engineering Qingdao University of Science Technology Qingdao266061 China

ISBN: (纸本)9781538626184

In this work, a novel data-driven optimal ILC with an extended state observer for a class of nonlinear non-affine discrete-time repetitive system has been proposed. the main feature of the approach is that the controller design depends merely on the I/O data, and an ESO has been introduced for the estimation of disturbance and uncertainty. the final simulation results verify the effectiveness of the proposed method. © 2018 ieee.

关键词： State estimation

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Optimization Parameters of PID controller for Powered Ankle-foot Prosthesis Based on CMA Evolution Strategy 7

Optimization Parameters of PID Controller for Powered Ankle-...

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

作者： Yin, Kaiyang Pang, Muye Xiang, Kui Jing, Chen Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Peoples R China

ISBN: (纸本)9781538626184

Optimization parameters of PID controller based on Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is presented in this paper. It is used to solve the problem of torque control for powered ankle-foot prosthesis. Original optimization parameters method of PID controller for powered ankle-foot is time-consuming and cannot get satisfied control effect. the parameters of PID control are used as an individual of CMA-ES in this paper. Appropriate fitness function is selected to adjust the PID parameters online. Step signal and torque approximation are used as the system input to verify the controller performance. In unit-step response, the overshoot of original PID is 15 times as much as it of CMA-ES PID, the setting time of original PID is 6 times as much as it of CMA-ES PID. In device torque response, the output of CMA-ES PID is stabilized throughout the control process. these indicates that CMA-ES PID is an effective control strategy for torque control of powered ankle-foot prosthesis.

关键词： PID control CMA-ES Ankle-foot prosthesis Optimization

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