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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Kawai, Fukiko Nakazawa, Chikashi Vinther, Kasper Rasmussen, Henrik Andersen, Palle Stoustrup, Jakob Control Technology Development Center Fuji Electric Co. Ltd. Hino-City Tokyo Japan Department of Electronic Systems Automation and Control Aalborg University Aalborg9220 Denmark

ISBN: (纸本)9783902823625

This paper presents a model based disturbance feedback control scheme. Industrial process systems have been traditionally controlled by using relay and PID controller. However these controllers are affected by disturbances and model errors and these effects degrade control performance. The authors propose a new control method that can decrease the negative impact of disturbance and model errors. The control method is motivated by industrial practice by Fuji Electric. Simulation tests are examined with a conventional PID controller and the disturbance feedback control. The simulation results demonstrate the effectiveness of the proposed method comparing with the conventional PID controller. © IFAC.

关键词： controllers

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An Industrial Model Based Disturbance Feedback control Scheme

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IFAC Proceedings Volumes 2014年第3期47卷 146-151页

作者： Fukiko Kawai Chikashi Nakazawa Kasper Vinther Henrik Rasmussen Palle Andersen Jakob Stoustrup Control Technology Development Center Fuji Electric Co. Ltd. Hino-City Tokyo Japan (Tel: +81-042-584-4368 Department of Electronic Systems Automation and Control Aalborg University 9220 Aalborg Denmark

关键词： Disturbance feedback control Model based control PID

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Listwise approaches based on feature ranking discovery

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Frontiers of Computer Science 2012年第6期6卷 647-659页

作者： Yongqing WANG Wenji MAO Daniel ZENG Fen XIA Commercial Products Development Department Alibaba Inc.Hangzhou 310052China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Management Information Systems University of ArizonaTucsonAZ 85721USA Union Research and Development Department Baidu Inc.Beijing 100085China

Listwise approaches are an important class of learning to rank, which utilizes automatic learning techniques to discover useful information. Most previous research on listwise approaches has focused on optimizing ranking models using weights and has used imprecisely labeled training data; optimizing ranking models using features was largely ignored thus the continuous performance improvement of these approaches was hindered. To address the limitations of previous listwise work, we propose a quasi-KNN model to discover the ranking of features and employ rank addition rule to calculate the weight of combination. On the basis of this, we propose three listwise algorithms, FeatureRank, BL-FeatureRank, and DiffRank. The experimental results show that our proposed algorithms can be applied to a strict ordered ranking training set and gain better performance than state-of-the-art listwise algorithms.

关键词： learning to rank listwise approach feature＇s ranking discovery

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Towards an ontology for autonomous robots

Towards an ontology for autonomous robots

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25th IEEE/RSJ International Conference on Robotics and Intelligent systems, IROS 2012

作者： Paull, Liam Severac, Gaetan Raffo, Guilherme V. Angel, Julian Mauricio Boley, Harold Durst, Phillip J. Gray, Wendell Habib, Maki Nguyen, Bao Ragavan, S. Veera Saeedi G., Sajad Sanz, Ricardo Seto, Mae Stefanovski, Aleksandar Trentini, Michael Li, Howard COBRA Department of Electrical and Computer Engineering University of New Brunswick Fredericton NB E3B 5A3 Canada ONERA-University of Toulouse France Department of Automation and Systems Federal University of Santa Catarina Brazil Department of Computer Engineering Pontificia Universidad Javeriana Bogot Colombia National Research Council Canada US Army ERDC 3909 Halls Ferry Road Vicksburg MS 39180 United States Mechanical Engineering Department School of Sciences and Engineering American University in Cairo New Cairo Egypt Defence Research and Development Canada-CORA Ottawa ON Canada Monash University Sunway Campus Australia Systems Engineering and Automatic Control Autonomous Systems Laboratory Research Group Universidad Politcnica de Madrid Madrid Spain Defence Research and Development Canada-Atlantic Dartmouth NS Canada Department of Computer Science George Washington University United States Defence R and D Canada-Suffield PO Box 4000 Station Main Medicine Hat AB T1A 8K6 Canada

ISBN: (纸本)9781467317375

The IEEE RAS Ontologies for Robotics and automation Working Group is dedicated to developing a methodology for knowledge representation and reasoning in robotics and automation. As part of this working group, the Autonomous Robots sub-group is tasked with developing ontology modules for autonomous robots. This paper describes the work in progress on the development of ontologies for autonomous systems. For autonomous systems, the focus is on the cooperation, coordination, and communication of multiple unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and autonomous underwater vehicles (AUVs). The ontologies serve as a framework for working out concepts of employment with multiple vehicles for a variety of operational scenarios with emphasis on collaborative and cooperative missions. © 2012 IEEE.

关键词： Ontology

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Towards an Ontology for Autonomous Robots

Towards an Ontology for Autonomous Robots

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2012 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Liam Paull Gaetan Severac Guilherme V. Raffo Julian Mauricio Angel Harold Boley Phillip J Durst Wendell Gray Maki Habib Bao Nguyen S. Veera Ragavan Sajad Saeedi G. Ricardo Sanz Mae Seto Aleksandar Stefanovski Michael Trentini Howard Li COBRA Department of Electrical and Computer Engineering University of New Brunswick Fredericton Canada ONERA - University of Toulouse France Department of Automation and Systems Federal University of Santa Catarina Brazil Department of Computer Engineering Pontificia Universidad Javeriana Bogot Colombia National Research Council Canada US Army ERDC Vicksburg Ms Mechanical Engineering Department School of Sciences and Engineering The American University in Cairo New Cairo Egypt Defence Research and Development Canada - CORA Ottawa ON Canada Monash University Sunway Campus Systems Engineering and Automatic Control Autonomous Systems Laboratory research group Universidad Politcnica de Madrid Madrid Spain Defence Research and Development Canada - Atlantic NS Canada Department of Computer Science The George Washington University Defence R&D Canada - Suffield Medicine Hat AB Canada

ISBN: (纸本)9781467317375

关键词： Ontologies Robot kinematics Sensors Planning Mobile robots Navigation

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Online process simulator with hybrid model of physical model and Just-In-Time model

Online process simulator with hybrid model of physical model...

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作者： Nakaya, Makoto Ikegaya, Yoshihiro Nakabayashi, Akio Ootani, Tetsuya Chen, Dong Li, Xinchun Wang, Dong Ogata, Marina Gravina Products Planning D and e Dept. IA Control Systems Development and Engineering Center Industrial Automation Business Headquarters Yokogawa Electric Corp. 2-9-32 Nakacho Musashino-shi Tokyo Japan Instrument and Control Research Center Corporate R and D Headquarters Yokogawa Electric Corp. 2-9-32 Nakacho Musashino-shi Tokyo Japan Research and Development Division Yokogawa Beijing Development Center 9F Jinbao Tower No. 89 Jinbao Street Doncheng District Beijing China Engineering Department Yokogawa South America Praca Acapulco 31-Santo Amaro Sao Paulo/SP Brazil

ISBN: (纸本)9783902661937

A tracking simulator that runs in parallel with the plant and perfectly simulates the plant behavior has been developed. This tracking simulator is currently in the validation phase at a commercial plant site. The tracking simulator strongly depends on the physical model based on physical and chemical laws, and it cannot simulate unknown phenomena in the plant. A hybrid model consisting of a physical model and a statistical model using the historical plant operation data was proposed. The estimation accuracy of the statistical model was improved using the virtual input from the tracking simulator. Although the Kalman filter technique is applied to conventional software sensors for quality estimation as a model updating function, deterioration of estimation accuracy is often seen with marked changes in plant behavior and the analyzers shut down. To resolve these issues, we applied Just-In-Time modeling based on the historical data modeling technique with the tracking simulator, and the plant model coverage of the tracking simulator was expanded for various processes. © 2011 IFAC.

关键词： Simulators

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Online Process Simulator with Hybrid Model of Physical Model and Just-In-Time Model

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IFAC Proceedings Volumes 2011年第1期44卷 1640-1645页

作者： Makoto Nakaya Yoshihiro Ikegaya Akio Nakabayashi Tetsuya Ootani Dong Chen Xinchun Li Dong Wang Marina Gravina Ogata Products Planning D&E Dept. IA Control Systems Development & Engineering Center Industrial Automation Business Headquarters Yokogawa Electric Corp. 2-9-32 Nakacho Musashino-shi Tokyo Japan (Tel:+81-422-52-6224) Instrument and Control Research Center Corporate R&D Headquarters Yokogawa Electric Corp. 2-9-32 Nakacho Musashino-shi Tokyo Japan (Tel: +81-422-52-8052) Research and Development Division Yokogawa Beijing Development Center 9F Jinbao Tower No. 89 Jinbao Street Doncheng District Beijing China (Tel: +010-8522-1600 Engineering Department Yokogawa South America Praca Acapulco 31-Santo Amaro Sao Paulo/SP Brazil (Tel: +55-11-3513-16160)

Abstract A tracking simulator that runs in parallel with the plant and perfectly simulates the plant behavior has been developed. This tracking simulator is currently in the validation phase at a commercial plant site. The tracking simulator strongly depends on the physical model based on physical and chemical laws, and it cannot simulate unknown phenomena in the plant. A hybrid model consisting of a physical model and a statistical model using the historical plant operation data was proposed. The estimation accuracy of the statistical model was improved using the virtual input from the tracking simulator. Although the Kalman filter technique is applied to conventional software sensors for quality estimation as a model updating function, deterioration of estimation accuracy is often seen with marked changes in plant behavior and the analyzers shut down. To resolve these issues, we applied Just-In-Time modeling based on the historical data modeling technique with the tracking simulator, and the plant model coverage of the tracking simulator was expanded for various processes.

关键词： Process Simulator Tracking Simulator Soft Sensor Just-In-Time Model Physical Model Hybrid Model

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Robust control design of multiple resonant controllers for sinusoidal tracking and harmonic rejection in uninterruptible power supplies

Robust control design of multiple resonant controllers for s...

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IEEE International Symposium on Industrial Electronics

作者： Bonan, Guilherme Mano, Otávio Pereira, Luis Fernando Alves Coutinho, Daniel Ferreira Department of Research and Development CP Eletrônica S.A. Rua da Várzea 379 91040-600 Porto Alegre-RS Brazil Department of Electrical Engineering Universidade Federal do Rio Grande do Sul - UFRGS Av. Osvaldo Aranha 103 90035-190 Porto Alegre-RS Brazil Group of Automation and Control Systems Pontifícia Universidade Católica do Rio Grande do Sul - PUCRS Av. Ipiranga 6681 90619-900 Porto Alegre-RS Brazil

ISBN: (纸本)9781424463916

This paper presents a robust control strategy for tracking sinusoidal reference signals with zero steady state error and harmonic compensation in Uninterruptible Power Supplies - UPS. Multiple resonant controllers are derived for DC-AC inverters when supplying energy to (uncertain) nonlinear loads to obtain a nice tradeoff between transient response and disturbance rejection regardless possible load variations. The controller parameters are determined by means of a convex optimization problem subject to a set of linear matrix inequalities (LMIs). Real time experiments demonstrate the potentials of the proposed approach for controlling UPS systems. © 2010 IEEE.

关键词： controllers

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An innovative generation control system for improving design and stability of shipboard medium-voltage DC Integrated Power System

An innovative generation control system for improving design...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： Vittorio Arcidiacono Antonello Monti Giorgio Sulligoi Research & Development Division M. A. I. Control Systems Limited Milan Italy Institute of Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Aachen Germany Department of Electrical Electronic and Computer Engineering University of Trieste Trieste Italy

Ensuring system stability in medium-voltage DC (MVDC) integrated power systems (IPS) is a key issue, due to the presence of many shipboard electric users fed by constant power load (CPL) converters. This paper presents an innovative control system aimed at utilizing alternators, connected to the IPS through controlled AC-DC interface converters, to improve MVDC stable voltage control. Such system is designed to control, for each shipboard generator, the AC machine voltage, the prime mover speed and the interface converter, in an integrated way. Technological aspects and control principle scheme of this system will be presented in the paper, with particular reference to the issue of DC-link voltage stability. This system is expected to bring advantages in terms of MVDC IPS integration, stable parallel operation of generators and loads, safe exploitation of alternators capability as a source of stabilizing power.

关键词： Power system stability DC generators Power generation control systems Medium voltage Power system control Power systems Voltage control Alternators Analog-digital conversion

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Robust control of a High Precision 4-DOF Parallel Manipulator

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IFAC Proceedings Volumes 2008年第2期41卷 15708-15713页

作者： Jacob W.F. Cheung Y.S. Hung Motion Control and Systems Laboratory Research and Development Department ASM Assembly Automation Ltd. 3/F Watson Centre 16 Kung Yip Street Kwai Chung New Territories Hong Kong Department of Electrical and Electronic Engineering The University of Hong Kong Pokfulam Road Hong Kong

A model-based robust control design approach is considered for a novel direct-drive 4-DOF parallel manipulator aimed at high speed and high precision semiconductor packaging applications. An experimental identification method is proposed to determine the dynamic model of the manipulator and a robust feedback controller is designed in the frequency-domain using genetic algorithm. Experimental results demonstrate that the motion performance of the 4-DOF parallel manipulator including positioning accuracy and steady-state error is improved significantly when compared with traditional XY, Z and θ motion stages. This shows that the proposed 4-DOF parallel manipulator provides a superior alternative to the traditional motion stages for high-precision motion.

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