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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361-370 订阅

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Routing Algorithm based on Energy and Hop Number for Linear Distributed WSN

Routing Algorithm based on Energy and Hop Number for Linear ...

引用

data driven control and learning systems (ddcls)

作者： Pengfei Wu Meng Wang College of Informatics Huazhong Agricultural University Wuhan China School of Mechanical Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9781538626191

Monitoring nodes are usually linear distributed along river and canal in irrigation area, which constructs linear distributed WSN. Aiming at linear distributed WSN, Flooding routing protocol based on energy and hop number (BEH-Flooding) is proposed. this protocol realizes efficient and stable wireless data transmission for irrigation area. According to the principle of same hop number, nodes are divided into multiple levels. In each level, two routing nodes are selected based on the principle of optimal residual energy. In the transmission stage, data packets are only transferred between routing nodes of upper level and routing nodes of lower level. By this, the protocol not only has the robustness of Flooding protocol, but also reduces extra data transmission. the simulation results validate the effectiveness of the proposed routing protocol. this method provides an approach to data acquisition for monitoring system in irrigation area.

关键词： Routing Irrigation Protocols Floods data communication Monitoring Wireless sensor networks

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Generalized CCA with Applications for Fault Detection and Estimation

Generalized CCA with Applications for Fault Detection and Es...

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data driven control and learning systems (ddcls)

作者： Zhiwen Chen Steven X. Ding Kai Zhang Chunhua Yang Tao Peng Central South University Changsha P. R. China University of Duisburg-Essen Duisburg Germany University of Science and Technology Beijing Beijing P. R. China

ISBN: (纸本)9781538626191

Canonical correlation analysis (CCA) is a well-established multivariate analysis method for finding the relationship between two data sets, which has been explored for fault detection recently. In this paper, we revisit the generalized canonical correlation analysis (CCA) form and discuss its applications for fault detection and estimation. the motivation of using CCA for fault detection is to reduce process uncertainty by taking the correlation coefficients into account. then, the fault detectability in terms of fault detection rate is increased. Finally, the generalized CCA-based fault detection method is validated on the benchmark, which is a simulation of high-speed trains traction drive control system. the achieved results show that the proposed method is able to successfully detect the faults.

关键词： Fault detection Correlation Estimation control systems Electronic mail Monitoring Covariance matrices

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Continuous Multivariable Integral Sliding Mode control of Rigid Spacecraft with Actuator Faults

Continuous Multivariable Integral Sliding Mode Control of Ri...

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data driven control and learning systems (ddcls)

作者： Xiuyun Zhang Qun Zong Wenjing Liu Jie Wang School of Electrical Engineering and Information Tianjin University Tianjin P. R. China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing P. R. China School of Control Science and Energineering Hebei University of Technology Tianjin P. R. China

ISBN: (纸本)9781538626191

this paper investigates the fault-tolerant control (FTC) for the rigid spacecraft. A continuous multivariable integral sliding mode (CMISM) FTC is developed, which is capable of ensuring the finite-time stability of the closed-loop system in the presence of actuator malfunctions and external disturbances. Firstly, a smooth second order controller is designed for the finite time convergence of nominal system. then, the conventional discontinuous part of ISM to reject faults and disturbances is modified by a continuous multivariable twisting control, which could obtain a better dynamic response and anti-disturbance performance. A rigorous proof of the finite time stability of closed-loop system is derived by utilizing Lyapunov method. Finally, the efficiency of the proposed method is illustrated by numerical simulations.

关键词： Actuators Space vehicles Attitude control Convergence Mathematical model Fault tolerance Fault tolerant systems

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Improved Kernel Fisher Discriminant Analysis for Nonlinear Process Fault Pattern Recognition

Improved Kernel Fisher Discriminant Analysis for Nonlinear P...

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data driven control and learning systems (ddcls)

作者： Xiaogang Deng Baowei Sun Lei Wang College of Information and Control Engineering China University of Petroleum Qingdao P. R. China

ISBN: (纸本)9781538626191

Kernel Fisher discriminant analysis (KFDA) has emerged as an well-known nonlinear fault pattern recognition method. However, traditional KFDA method does not consider the utilization of the high order statistical information of process variables, and ignores the mining of the local data structure characteristic. To achieve better fault pattern recognition performance, this paper proposes an improved KFDA method, called statistics local KFDA(SLKFDA). In the proposed method, two techniques, including statistics pattern analysis (SPA) and local structure analysis (LSA), are combined to enhance the basic KFDA method. Firstly, SPA is applied to extract the original process variables' statistics with different orders. then the KFDA optimization objective is modified by considering the local structure preserving. Lastly, a fault classifier is developed to recognize fault pattern. Simulations on one benchmark process demonstrate that the proposed SLKFDA method has a superior fault pattern recognition performance.

关键词： Kernel Pattern recognition Optimization Pattern analysis data models data structures Fault diagnosis

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An EMD-RF Based Short-term Wind Power Forecasting Method

An EMD-RF Based Short-term Wind Power Forecasting Method

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data driven control and learning systems (ddcls)

作者： Weizhou Shen Na Jiang Ning Li Department of Automation and Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai P.R. China

ISBN: (纸本)9781538626191

Wind power forecasting of wind field is a common problem recently. Forecasting wind power accurately is a challenge for dispatchers who need to establish dispatching strategies due to the randomness and volatility of wind power. this paper presents a kind of wind power forecasting method based on empirical mode decomposition (EMD) and random forest (RF). EMD is applied to this method to decompose wind power sequence into several intrinsic mode functions (IMF) and a residual component, and then RF is used to train each component. Finally, the predicting results of each component are summed together to obtain the wind power forecasting values. the proposed method is tested on actual data from a wind farm in America. the results show that the EMD-RF method reduces the forecasting error and tracks the change of wind power more accurately compared with the traditional forecasting model.

关键词： Wind power generation Forecasting Forestry Predictive models Vegetation Radio frequency Wind forecasting

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On Closed - loop control of Matrix Converter with Double Voltage control

On Closed - loop Control of Matrix Converter with Double Vol...

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data driven control and learning systems (ddcls)

作者： Xinghe Ma Zhendong Zhang Dan Xu Kunchao Wang School of electrical Engineering and Automation Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9781538626191

A novel closed-loop control strategy is designed and researched for a matrix converter with dual voltage synthesis control. the closed-loop control strategy is based on the dual-voltage control of the matrix converter duty cycle calculation characteristics, the deviation between the ideal input voltage duty cycle and the equivalent input voltage duty cycle is calculated, and the calculated deviation is added as the negative feedback variable of the closed loop system to the next duty cycle calculation period. In order to achieve the purpose of closed-loop control, the closed-loop control strategy proposed in this paper is used to solve the problem that the output side voltage performance of the matrix converter is affected by the input side voltage distortion and the performance of the internal components of the matrix converter is not ideal. To ensure that the actual output voltage of the matrix converter can better meet the desired voltage, improve its disturbance after the output voltage quality reduction and improve the output performance. the experimental results show that the output voltage of the matrix converter with this new closed - loop control method is closer to the desired voltage, the output current waveform is smoother and the output voltage quality is more ideal.

关键词： Voltage control Matrix converters Negative feedback Closed loop systems Modulation Uncertainty

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

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

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data driven control and learning systems (ddcls)

作者： Zhentian Liu Guangsen Wang Zhiwei Wang National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval Univ. of Engineering Wuhan

ISBN: (纸本)9781538626191

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： Uncertainty Mathematical model Permanent magnets Synchronous motors Tuning Robustness Frequency-domain analysis

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

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

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data driven control and learning systems (ddcls)

作者： Jiaqing Yan Peng Shao Qi Chen Ming Zhang Zhanying Li Li Wang School of Electrical and Control Engineering North China University of Technology Beijing

ISBN: (纸本)9781538626191

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： Roads Bandwidth Graphics Software Timing Heuristic algorithms Genetic algorithms

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

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

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data driven control and learning systems (ddcls)

作者： Zhiqiang Wang Cuicui Huang Xiaolong Li Zhiqiang Long National University of Defense Technology Changsha P. R. China

ISBN: (纸本)9781538626191

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： Levitation Electromagnets Periodic structures Sensors Electromagnetic forces Springs Windings

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Active Disturbance Rejection control for Active Suspension System of Nonlinear Full Car

Active Disturbance Rejection Control for Active Suspension S...

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data driven control and learning systems (ddcls)

作者： Yeqing Lu Haoping Wang Yang Tian LaFCAS School of Automation Nanjing University of Science & Technology Nanjing

ISBN: (纸本)9781538626191

In this paper, a full car model with seven degrees of freedom is established for the research of active suspension system, and a virtual prototype is built in Adams to compare and validate it, in particular. then active disturbance rejection control (ADRC) is applied for the control system. the suspension system is complex for its nonlinearities from the springs, dampers, and irregular excitations from road surface. this paper considers the nonlinear characteristics and complex behavior of real vehicles, and uses extended state observer (ESO) to estimate and eliminate them from the controlled system. After decoupling the full car system, three ADRC controllers are designed to balance the vertical vibration, rolling and pitching movement, respectively, thus producing four active control forces of each suspension by matrix transformation. the simulation results are compared with fuzzy PID controlled system, which show that ADRC has good performance over nonlinearities, perturbations and bounded uncertainties.

关键词： Mathematical model Automobiles Suspensions (mechanical systems) Prototypes Vibrations Vehicle dynamics Springs

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