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IEEE Conference on control Technology and Applications (CCTA)

作者： P. Akella J.T. Wen Control Laboratory for Mechanical Structures Department of Electrical Computer and Systems EngineeringCenter for Advanced Technology in Automation Robotics & Manufacturing Rensselaer Polytechnic Institute RPI Troy NY USA

Passivity based controllers are used in structural control due to their inherent robustness properties. These controllers require sensor/actuator collocation. In this paper, we consider the design of a "squaring down" matrix which renders a system passive by using a linear combination of all collocated and non-collocated sensor/actuator pairs. The design uses experimental transfer functions and does not require the knowledge of the system model. The problem of finding the squaring down matrix is cast as a solution to a set of linear matrix inequalities (LMIs) subject to some additional performance considerations. The design procedure of the squaring down matrix assumes that velocity information is available from the sensors which is not generally the case. We show that the squaring down matrix can be implemented without the use of such velocity information. We provide experimental results gathered from the single link flexible beam setup in the C/sub La/MS laboratory at RPI to show that implementation of passive loops without velocity measurements provides very good results.

关键词： Feedback control Linear matrix inequalities intelligent sensors control system synthesis Robust control Sensor systems Hydraulic actuators Transfer functions Laboratories Economic indicators

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Preisach modeling of piezoceramic and shape memory alloy hysteresis

Preisach modeling of piezoceramic and shape memory alloy hys...

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IEEE Conference on control Technology and Applications (CCTA)

作者： D. Hughes J.T. Wen Control Laboratory for Mechanical Structures (CLaMS) Center for Advanced Technology in Automation Robotics & Manufacturing Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

Smart materials such as piezoceramics and shape memory alloys (SMAs) exhibit significant hysteresis and in order to estimate the effect on open and closed loop control a suitable model is needed. One promising candidate is the Preisach independent domain hysteresis model that is characterized by the congruent minor loop and wiping out properties. Comparable minor loop and decaying oscillation test data for a multi-sheet piezoceramic actuator (made of lead zirconate titanate) attached to a flexible beam are presented and are seen to be very consistent with the two Preisach model properties. The commanded parameter is the sheet transverse electric field while the measured parameter is an approximately colocated strain induced in the beam. Equivalent data for a Nitinol SMA wire muscle, attached to the same beam, are also presented. The input and output parameters are the SMA current and a beam strain respectfully. The minor loop and wiping out evidence is less strong than that of the piezoceramic case, but encouraging. In all experiments the quasi-steady state responses were generated in order to avoid exciting beam flexible modes which would complicate the analysis.

关键词： Piezoelectric materials Shape memory alloys Hysteresis Strain measurement Shape control Open loop systems Testing Actuators Titanium compounds Electric variables measurement

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Model development of MIMO nets: a H-EPN based approach

Model development of MIMO nets: a H-EPN based approach

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IEEE Conference on Decision and control

作者： S. Ramaswamy K.P. Valavanis S. Barber The Laboratory for Intelligent Processes and Systems The Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA The Robotics and Automation Laboratory The Center for Advanced Computer Studies and the Apparel-CIM Center University of Southwestern Louisiana Lafayette LA USA

The construction and analysis of multiple-input multiple-output (MIMO) subnets is discussed. It is shown that hierarchical time-extended Petri nets (H-EPNs) allow the development of structured MIMO subnets through the use of bottom-up Petri net synthesis techniques. The paper analyzes Petri net extensions that allow a truly hybrid approach to Petri net based systems modeling, analysis and development. The case study emphasizes the advantage of the activator arc extension in studying issues such as static priority scheduling, dynamic failure recognition, and rescheduling in manufacturing systems. The SPNP package, suitably modified to handle the H-EPN extensions, is used to analyze the properties of the derived H-EPN model.

关键词： MIMO Petri nets Failure analysis Job shop scheduling Dynamic scheduling Modeling Timing Manufacturing Packaging Solids

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Explicit fuzzy force control of industrial manipulators with position servo drives

Explicit fuzzy force control of industrial manipulators with...

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IEEE International Workshop on intelligent Robots and systems (IROS)

作者： I.H. Suh K.S. Eom H.J. Yeo B.H. Kang S.-R. Oh B.H. Lee Intelligent Control and Robotics Laboratory Department of Electrvnics Engineering Hanyang University South Korea Samsung Data System Company Limited South Korea Division of Electronics and Infonmation technology KIST Seoul South Korea Robotics and Intelligent Systems Laboratory Department of Control and Instrumentation Engineering Seoul National University South Korea

In this paper, a fuzzy force control algorithm is suggested for commercialized industrial robots equipped with the position servo drives, where control rules of the proposed fuzzy controller are changed according to the magnitude of environmental stiffness in such a way that good force response is maintained regardless of changes of environmental stiffness. Specifically, some fuzzy control rules are designed for several representative environmental stiffness values, and then a control action for a given arbitrary environmental stiffness value is decided by a fuzzy interpolation method. To show the validity of the proposed fuzzy controller, several experimental results are illustrated, where a 5-axis articulated robot manipulator equipped with the wrist force/torque sensor system and our prototype dual robot controller are employed.< >

关键词： Fuzzy control Force control Industrial control Manipulators Torque control control systems Robot sensing systems Commercialization Service robots Servomechanisms

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A KNOWLEDGE-BASED APPROACH TO MODELING OF ROBOTIC ASSEMBLY CELLS

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ROBOTICA 1991年第1期9卷 31-42页

作者： KIM, DW LEE, BH KO, MS Robotics and Intelligent Systems Laboratory Department of Control and Instrumentation Engineering Seoul National University Seoul 151–742 (Korea)

In this paper, an approach to modelling of a robotic assembly cell is proposed and a method for managing the cell operation is described using a knowledge base. Since the modelling structure is based on the concept of the state variable, the relationships between states are described by the state transition map (STM). The knowledge-bases for state transition and assembly job information are obtained from the STM and the assembly job tree (AJT), respectively. Using the knowledge-base, the system structure is discussed in relation to both managing the cell operation and evaluating the performances. Finally, a simulation algorithm is presented with the simulation results to show the significance of the proposed modelling approach.

关键词： MODELING ASSEMBLY CELLS robotics KNOWLEDGE-BASE STATE TRANSITION

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control of induction motors for high dynamic performance and maximal power efficiency via feedback linearization with input-output decoupling

Control of induction motors for high dynamic performance and...

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Annual Conference of Industrial Electronics Society

作者： Dong-Il Kim In-Joong Ha Myoung-Sam Ko Jae-Wha Park Robotics and Intelligent Systems Laboratory Department of Control and Instrumentation Eng. Seoul National University South Korea

The authors attempt to achieve both high dynamic performance and maximal power efficiency for induction motors by means of linear decoupling of rotor speed (or motor torque) and rotor flux. The induction motor with the proposed controller possesses the input-output dynamic characteristics of a linear system such that the rotor speed (or motor torque) and the rotor flux are decoupled. The rotor speed (or motor torque) responses are not affected by abrupt changes in the rotor flux, and vice versa. The rotor flux need not be measured but is estimated by the well-known flux simulator. The effect of large variation in the rotor resistance on the control performances is minimized by using a parameter adaptation method. The authors present simulation and experimental results as well as mathematical performance analyses.< >

关键词： Induction motors Feedback Rotors DC motors Linear systems Equations control systems Torque Electrical resistance measurement Performance analysis

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Industrial machine vision: lessons and challenges

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Optics News 1987年第2期13卷 12-17页

作者： Steven W. Holland Robert B. Tilove STEVEN W. HOLLAND is an assistant department head in the Computer Science Dept. of General Motors Research Laboratories (GMR). He is responsible for research projects involving computer vision robotics mobile robotics process planning knowledge systems natural language advanced programming environments parallel processing and statistics. ROBERT B. TILOVE is senior staff research scientist and project leader of the machine perception project at GMR. His research interests include geometric modeling model-based programming and control of intelligent automation systems.

No abstract available.

关键词： Integral imaging Machine vision Measurement and metrology Optical systems Sensors Statistics

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Manufacturing systems control Design 1

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丛书名： Advances in Industrial control

1000年

作者： Stjepan Bogdan Zdenko Kovačić Frank L. Lewis José Mireles

ISBN: (数字)9781846283345

ISBN: (纸本)9781852339821;9781849969895

The series Advances in Industrial control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.

关键词： control and systems Theory Industrial and Production Engineering Manufacturing, Machines, Tools, Processes Simulation and Modeling Linear and Multilinear Algebras, Matrix Theory Industrial Organization

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Increasingly intelligent Micromachines

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control, robotics, and Autonomous systems 1000年第1期5卷 279-310页

作者： Tian-Yun Huang Hongri Gu Bradley J. Nelson 2Current affiliation: Laboratory for Micromachine Intelligence Department of Advanced Manufacturing and Robotics College of Engineering and State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China email: huangtianyun@*** 1Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland email: huangt@ethz.chhgu@ethz.chbnelson@ethz.ch

intelligent micromachines, with dimensions ranging from a few millimeters down to hundreds of nanometers, are miniature systems capable of performing specific tasks autonomously at small scales. Enhancing the intelligence of micromachines to tackle the uncertainty and variability in complex microenvironments has applications in minimally invasive medicine, bioengineering, water cleaning, analytical chemistry, and more. Over the past decade, significant progress has been made in the construction of intelligent micromachines, evolving from simple micromachines to soft, compound, reconfigurable, encodable, multifunctional, and integrated micromachines, as well as from individual to multiagent, multiscale, hierarchical, self-organizing, and swarm micromachines. The field leverages two important trends in robotics research—the miniaturization and intelligentization of machines—but a compelling combination of these two features has yet to be realized. The core technologies required to make such tiny machines intelligent include information media, transduction, processing, exchange, and energy supply, but embedding all of these functions into a system at the micro- or nanoscale is challenging. This article offers a comprehensive introduction to the state-of-the-art technologies used to create intelligence for micromachines and provides insight into the construction of next-generation intelligent micromachines that can adapt to diverse scenarios for use in emerging fields.

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