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Active Fault Diagnosis in Sampled-data Systems

IFAC-PapersOnLine 2015年第21期48卷 883-888页

作者： Niemann, Henrik Poulsen, Niels Kjolstad Department of Electrical Engineering Automation and Control Technical University of Denmark Building 326 DK-2800 Kgs. Lyngby Denmark Dept. of Applied Mathematics and Computer Science Section for Dynamical Systems Technical University of Denmark DK-2800 Kgs. Lyngby Denmark

The focus in this paper is on active fault diagnosis (AFD) in closed-loop sampleddata systems. Applying the same AFD architecture as for continuous-time systems does not directly result in the same set of closed-loop matrix transfer functions. For continuous-time systems, the LFT (linear fractional transformation) structure in the connection between the parametric faults and the matrix transfer function (also known as the fault signature matrix) applied for AFD is not directly preserved for sampled-data system. As a consequence of this, the AFD methods cannot directly be applied for sampled-data systems. Two methods are considered in this paper to handle the fault signature matrix for sampled-data systems such that standard AFD methods can be applied. The first method is based on a discretization of the system such that the LFT structure is preserved resulting in the same LFT structure in the fault signature matrix as obtained for continuous-time systems. The other method is an approximation method, where the same structure is obtained for small parametric faults. © 2015

关键词： Continuous time systems

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Design verification based on Hardware-In-the-Loop simulation for photovoltaic system

Design verification based on Hardware-In-the-Loop simulation...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Hanen Abbes Mossaad Ben Ayed Hafedh Abid Mohamed Abid Department of Electrical Engineering University of Sfax Sfax Tunisia Department of Electrical Engineering Laboratory of Sciences and techniques of Automatic control & computer engineering (Lab-STA) Universite de Sfax Sfax TN

Due to the increasing complexity of photovoltaic systems and problems linked to development and design, verification of the entire system operation is essential before real implementation. Besides, high requirements of a real-time simulation and control circuit prototyping before application increases safeness, and can reduce time and costs of implementation. For this end, the purpose of this work is to achieve photovoltaic system development and its design verification through system simulation using FPGA device. The verification method used in this study is the “Hardware-In-the-Loop” (HIL) simulation method. It provides an effective platform for developing and testing real time embedded systems. In this paper, we design the power circuit and we develop the open-circuit voltage controller which tracks the maximum power point. Then, the HIL simulation process is performed for the photovoltaic system. The efficiency of the photovoltaic system is validated by the simulation results.

关键词： Photovoltaic systems Mathematical model Field programmable gate arrays Integrated circuit modeling Digital signal processing Computational modeling

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On the development of an intelligent system for particulate matter air pollution monitoring, analysis and forecasting in urban regions 19

On the development of an intelligent system for particulate ...

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19th International Conference on System Theory, control and Computing, ICSTCC 2015 - Joint Conference SINTES 19, SACCS 15, SIMSIS 19

作者： Oprea, Mihaela Ianache, Cornel Mihalache, Sanda Florentina Dragomir, Elia Georgiana Dunea, Daniel Iordache, Stefania Savu, Tom Automatic Control Computers and Electronics Department Petroleum-Gas University of Ploiesti Ploiesti Romania ITIMF Department Petroleum-Gas University of Ploiesti Ploiesti Romania Faculty of Environmental Engineering and Food Science VALAHIA University of Targoviste Targoviste Romania Centre for Advanced Technologies - CTANM POLITEHNICA University of Bucharest Bucharest Romania

ISBN: (纸本)9781479984817

The paper presents details on the development of an intelligent system for particulate matter (PM) air pollution monitoring, analysis and forecasting in two pilot cities, Ploiesti and Targoviste, in selected areas near schools, kindergartens and pediatric hospitals. The main purpose of the system is to provide expert early warnings to protect children with health problems. An in-situ PM10, PM2.5 monitoring network was designed and an online PM2.5 monitoring network is under development for each city. Two case studies of PM air pollution analysis and forecast for the Ploiesti city are described. The PM air pollution analysis, forecasting, and children health impact analysis were made by using techniques from statistics and artificial intelligence. © 2015 IEEE.

关键词： Neural networks

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Model Reduction for a Class of Nonlinear Delay Differential Equations with Time-varying Delays

Model Reduction for a Class of Nonlinear Delay Differential ...

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IEEE Annual Conference on Decision and control

作者： Nathan van de Wouw Wim Michiels Bart Besselink Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Department of Computer Science KU Leuven Leuven Belgium ACCESS Linnaeus Centre and the Department of Automatic Control KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781479978878

In this paper, a structure-preserving model reduction approach for a class of nonlinear delay differential equations with time-varying delays is proposed. Benefits of this approach are, firstly, the fact that the delay nature of the system is preserved after reduction, secondly, that input-output stability properties are preserved and, thirdly, that a computable error bound reflecting the accuracy of the reduction is provided. These results are also applicable to large-scale linear delay differential equations with constant delays. The effectiveness of the results is evidenced by means of an illustrative example involving the nonlinear delayed dynamics of the turning process.

关键词： Reduced order model time varying EQUATION OF TIME delay Differential equations nonlinearity nonlinear differential equations

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Bat algorithm with inertia weight

Bat algorithm with inertia weight

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Chinese Automation Congress (CAC)

作者： Zhihua Cui Feixiang Li Qi Kang Department of Control Science and Computer Engineering Tongji University Shanghai China School of Computer Science and Technology Taiyuan University of Science and Technology Shanxi China

ISBN: (纸本)9781467371902

Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behavior of bats. However, the exploitation capability is not well for some multi-model problems. In this paper, a new parameter, inertia weight is introduced to improve the local search capability. In this new variant, the inertia weight is used to control the influence of the inertia of previous velocity for each bat. To test the performance, the CEC2013 shifted and rotated benchmark problems are used to compare, simulation results show our method is validity.

关键词： Algorithm design and analysis Standards Simulation Optimization Electronic mail Benchmark testing Convergence

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Generalization of optimal motion trajectories for bipedal walking

Generalization of optimal motion trajectories for bipedal wa...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： A. Werner D. Trautmann Dongheui Lee R. Lampariello German Aerospace Center (DLR) Institute of Robotics and Mechatronics Chair of Automatic Control Engineering Department of Electrical and Computer Engineering Technische Universität München (TUM)

control of robot locomotion profits from the use of pre-planned trajectories. This paper presents a way to generalize globally optimal and dynamically consistent trajectories for cyclic bipedal walking. A small task-space consisting of stride-length and step time is mapped to spline parameters which fully define the optimal joint space motion. The paper presents the impact of different machine learning algorithms for velocity and torque optimal trajectories with respect to optimality and feasibility. To demonstrate the usefulness of the trajectories, a control approach is presented that allows general walking including transitions between points in the task-space.

关键词： Trajectory Legged locomotion Machine learning algorithms Cost function Splines (mathematics)

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Fully inverse parametric linear/quadratic programming problems via convex liftings

Fully inverse parametric linear/quadratic programming proble...

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International Conference on Optimisation-based control and Estimation, 2014

作者： Nguyen, Ngoc Anh Olaru, Sorin Rodriguez-Ayerbe, Pedro Hovd, Morten Necoara, Ion Laboratory of Signals and Systems CentraleSupélec-CNRS-Université Paris-Sud Université Paris-Saclay 3 Rue Joliot Curie Paris Gif-sur-Yvette91192 France Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim7491 Norway Automatic Control and Systems Engineering Department Politehnica University of Bucharest Splaiul Independentei 313 Bucharest Romania

ISBN: (纸本)9783319266855

In this chapter, we present in an unified manner the latest developments on inverse optimality problem for continuous piecewise affine (PWA) functions. A particular attention is given to convex liftings as a cornerstone for the constructive solution we advocate in this framework. Subsequently, an algorithm based on convex lifting is presented for recovering a continuous PWA function defined over a polyhedral partition of a polyhedron. We also prove that any continuous PWA function can be equivalently obtained by a parametric linear programming problem with at most one auxiliary one-dimensional variable. © Springer International Publishing Switzerland 2015.

关键词： Inverse problems

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Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web 24

Exploration of Semantic-aware Approach for Contextual Sugges...

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24th Text REtrieval Conference, TREC 2015

作者： Wang, Yuan Zhang, Yongfeng Zhang, Yi Zhang, Xintong Liu, Jie Huang, Yalou College of Computer and Control Engineering Nankai University Tianjin300071 China College of Software Nankai University Tianjin300071 China State Key Laboratory of Intelligent Technology and Systems Department of Computer Science Tsinghua University Beijing100084 China School of Engineering University of California Santa Cruz95060 United States

This paper describes our group’s first attempt on the Contextual Suggestion Track of the Twenty-fourth Text REtrieval Conference (TREC 2015). The task aims to provide recommendations on attractions for various kinds of users under different and complex contexts. TREC provides two ways to participate in the track: one is to create a web server that can respond to contextual related queries called "Live Experiment", the other is to submit run files that have all the responses to the released requests called "Batch Experiment". For Live Experiment, due to lack of training data, our approach sticks closely to the defined relevance judgement criteria and context knowledge. We take linear interpolation to combine a variety of factors and contextual related knowledge. For Batch Experiment, we further consider domain preference under user attributes, and take existing Machine Learning based methods in principle. We show that feature engineering is a vital part for attraction suggestions. We find that the performance of suggestions to the provided user profiles and contexts has been improved using domain preference analysis. © 2015 24th Text REtrieval Conference, TREC 2015 - Proceedings. All Rights Reserved.

关键词： User profile

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Active Disturbance Rejection control of Certain Balanced and Positioning Electro-Hydraulic Servo System Based on Neural Network

Active Disturbance Rejection Control of Certain Balanced and...

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International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Litong Jia Qiang Gao Yuanlong Hou Zhiyuan Jia Li Jin Kang Li School of Mechanical Engineering Nanjing University of Science and Technology Nanjing JiangSu China Fire Control Department Institute of North Automatic Control Technology Taiyuan ShanXi China

ISBN: (纸本)9781479986477

For certain balance and positioning of electro-hydraulic servo system existing nonlinear, the active disturbance rejection control (ADRC) has many adjustable parameters which are difficult to regulate, so active disturbance rejection control with neural network (NN-ADRC) is developed in this paper. The method uses neural network self-learning ability, through a single neuron adaptive configuration parameters to complete an online self-tuning parameters, while taking advantage of RBF neural network as identifier to identify the controlled object gradient information. Simulation results show that: the controller parameters are reduced significantly, and effectively inhibit the system unbalance force disturbance and realize the accurate positioning. It also has fast response speed, no overshoot, and high steady-state accuracy.

关键词： Servomotors Mathematical model Biological neural networks Neurons Torque Artificial neural networks Cavity resonators

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Disrupted bandcount doubling in an AC-DC boost PFC circuit modeled by a time varying map

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Journal of Physics: Conference Series 2016年第1期692卷

作者： Viktor Avrutin Zhanybai T. Zhusubaliyev Abdelali El Aroudi Danièle Fournier-Prunaret Germain Garcia Erik Mosekilde Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany Department of Computer Science Southwest State University Kursk Russia Department of Electronics Electrical Engineering Automatic Control Universitat Rovira i Virgili Tarragona Spain INSA LAAS-CNRS Université de Toulouse Toulouse France INSA LAAS-CNRS Université de Toulouse Toulouse France Department of Physics The Technical University of Denmark Lyngby Denmark

Power factor correction converters are used in many applications as AC-DC power supplies aiming at maintaining a near unity power factor. Systems of this type are known to exhibit nonlinear phenomena such as sub-harmonic oscillations and chaotic regimes that cannot be described by traditional averaged models. In this paper, we derive a time varying discretetime map modeling the behavior of a power factor correction AC-DC boost converter. This map is derived in closed-form and is able to faithfully reproduce the system behavior under realistic conditions. In the chaotic regime the map exhibits a sequence of bifurcation similar to a bandcount doubling cascade on the low frequency. However, the observed scenario appears in some sense incomplete, with some gaps in the bifurcation diagram, whose appearance to our knowledge has never been reported before. We show that these gaps are caused by high frequency oscillations.

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