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Production Control as a Complex Dynamic Object

IFAC Proceedings Volumes 1998年第20期31卷 517-520页

作者： Peter Groumpos Bary Ilyasov Larisa Ismagilova Roza Valeeva University of Patras Department of Electrical and Computer Engineering Laboratory for Automation & Robotics GR-265 00 Rion Greece Fax: +30 61 997 309 Ufa State Aviation Technical University Department of Technical Cybernetics 12 K.Marx Street Ufa 450000 Russia Fax: (347-2) 22-29-18 Ufa State Aviation Technical University Department of Technical Cybernetics 12 K.Marx Street Ufa 450000 Russia Fax: (347-2) 22-29-18

The problem of production control as of a complex dynamic object is under discussion. There are elaborated and studied intelligent control algorithms using modelling results of system functioning dynamics which testify to uncertainty of environment. The proposed procedure of information exchange allows to unit effectively the dynamic and intelligent algorithms as well as man participation in decision making.

关键词： Production control dynamic models decision support systems

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Geometry and thermal regulation of GMA welding via conventional and neural adaptive control

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JOURNAL OF INTELLIGENT & ROBOTIC systems 1997年第2期19卷 153-186页

作者： Tzafestas, SG Rigatos, GG Kyriannakis, EJ Department of Electrical and Computer Engineering Intelligent Robotics and Automation Laboratory National Technical University of Athens Athens Greece

This paper investigates the application of conventional and neural adaptive control schemes to Gas Metal Are (GMA) welding. The goal is to produce welds of high quality and strength. This can be achieved through proper on-line control of the geometrical and thermal characteristics of the process. The welding process is variant in time and strongly nonlinear, and is subject to many defects due to improper regulation of parameters like arc voltage and current, or travel speed of the torch. Adaptive control is thus naturally a very good candidate for the regulation of the geometrical and thermal characteristics of the welding process. Here four adaptive control techniques are reviewed and tested, namely: model reference adaptive control (MRAC), pseudogradient adaptive control (PAC), multivariable self-tuning adaptive control (STC), and neural adaptive control (NAC). Extensive numerical results are provided, together with a discussion of the relative merits and limitations of the above techniques.

关键词： gas metal arc (GMA) welding geometric characteristics thermal characteristics adaptive control pseudogradient control self-tuning control neural adaptive control regulation of GMA welding

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Compensation of teleoperator modeling uncertainties with a sliding mode controller

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robotics AND computer-INTEGRATED MANUFACTURING 1997年第1期13卷 9-20页

作者： Tzafestas, SG Prokopiou, PA Intelligent Robotics and Automation Laboratory Computer Science Division Department of Electrical and Computer Engineering National Technical University of Athens Zografou Campus 15773 Athens Greece

The response of a previously proposed teleoperator system, which was not based on the traditional notion of telepresence but on an original form of kinesthetic feedback, is tested under modeling errors of up to 50%. The original system is enhanced by replacing the previous controller of each robot with a sliding mode robust one. A two-stage approach is employed: a desired trajectory is first generated and then tracked by the controller. The difficulties incurred for the man/machine cooperation are discussed. This extension of the original teleoperator architecture is tested through simulations and compared with a twin system based on neural controllers, presented elsewhere. (C) 1997 Elsevier Science Ltd.

关键词： Man machine systems

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Kinematic analysis and position/force control of the anthrobot dextrous hand

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IEEE TRANSACTIONS ON systems MAN AND CYBERNETICS PART B-CYBERNETICS 1997年第1期27卷 95-104页

作者： Kyriakopoulos, KJ VanRiper, J Zink, A Stephanou, HE New York State Center for Advanced Technology in Automation and Robotics and Electrical Department of Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

The increasing demand for robotic applications in unstructured environments is motivating the need for dextrous end-effecters which can cope with the wide variety of tasks and objects encountered in these environments, A new anthropomorphic robot hand (Anthrobot) which was designed for these environments is described. In this paper, the problem of developing the kinematics and unit consistent hybrid position/force control of the Anthrobot fingers is considered as the first step toward its utilization for either teleoperation or autonomous operation, A dynamic model of the fingers is identified and used to develop the control laws, The experimental results of applying the control to the Anthrobot are discussed.

关键词： Kinematics Force control Fingers robotics and automation Robots Humans Thumb Anthropomorphism Vehicle dynamics Power system modeling

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Calibrating a multi-manipulator robotic system (vol 4, pg 20, 1997)

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IEEE robotics & automation MAGAZINE 1997年第2期4卷 44-44页

作者： Bonitz, RG Hsia, TC Jet Propulation Laboratory Pasadena CA USA Systems.Control and Robotics Laboratory Department of Electrical and Computer Engineering University of California Davis CA USA

A simple, but effective, method of calibrating a multimanipulator robotic system is introduced. The algorithm uses precisely machined calibration plates which are inexpensive to manufacture and require no measuring instrumentation. The method is tested on a dual-arm system which resulted in an order of magnitude reduction in the pose error. Coordinated dual-arm manipulation experiments are conducted using the calibrated kinematic model to validate the usefulness of the calibration process.

关键词： Calibration Robot kinematics Manipulators robotics and automation Force control End effectors Acoustic measurements Testing Coordinate measuring machines Position measurement

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GMA Welding Process Regulation via Hierarchical GPC with Assured Stability

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IFAC Proceedings Volumes 1997年第3期30卷 221-226页

作者： S.G. Tzafestas E.J. Kyriannakis Intelligent Robotics and Automation Laboratory National Technical University of Athens Department of Electrical and Computer Engineering 15773 Zografou Campus Athens Greece

This paper deals with the regulation of the thermal characteristics of Gas Metal Arc (GMA) welding. A previously developed model is used for the open loop predictions. At the first level of the hierarchy, a parameterized Generalized Predictive Control (GPC) algorithm is selected among other control techniques, due to its robustness against modeling errors and parameter variations. A coordinator, at the second level of the hierarchy, specifies a set of reliable values for the parameters of GPC, so that stability is assured. A representative set of simulation results is included, along an evaluation of the advantages and limitations of the proposed hierarchical GPC technique.

关键词： Predictive control Hierarchical structures Regulation Stabilization Arc welding

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Robust telemanipulator control using a partitioned neural network architecture

Robust telemanipulator control using a partitioned neural ne...

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1997 IEEE International Conference on Neural Networks (ICNN 97)

作者： Tzafestas, SG Prokopiou, PA Tzafestas, CS Intelligent Robotics and Automation Laboratory Department of Electrical and Computer Engineering National Technical Unhersity of Athens Zografou 15773 Athens Greece Laboratoire de Robotique de Paris CNRS UPMC-UVSQ 78140 Velizy 10-12 AV. de 1' Europe France

ISBN: (纸本)0780341236

In this paper the control problem of telemanipulators is considered under the condition that they are subject to modeling and other uncertainties of considerable levels. The design is based on the S. Lee and H. S. Lee teleoperator control scheme, which is modified so as to be able to compensate the uncertainties, and is implemented using a partitioned multilayer perceptron neural network. Several subnetworks are used each one identifying a term of the manipulator's dynamic model. A new learning algorithm is proposed which distributes the learning error to each subnetwork and enables online training Several simulation results are provided which show the robustness ability by the partitioned neurocontroller, and compare it with the results obtained through sliding mode control.

关键词： Sliding mode control

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Introducing the theory of fuzzy cognitive maps in distributed systems

Introducing the theory of fuzzy cognitive maps in distribute...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： C.D. Stylios V.C. Georgopoulos P.P. Groumpos Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Rio Greece School of Electrical Engineering and Computer Science Ohio University Athens OH USA

This paper investigates a novel hybrid fuzzy neural system, fuzzy cognitive map (FCM), and its implementation in distributed systems and control problems. The description and the methodology of this system will be examined and then it will be shown the application of FCM in a process control problem, which will reveal the characteristics and qualities of FCM. There is an oncoming need for more autonomous and intelligent systems, which could be satisfied with the application of FCM in the field of systems and control.

关键词： Fuzzy cognitive maps Fuzzy systems Fuzzy logic Intelligent systems robotics and automation Fuzzy control Control systems Control system synthesis Neural networks Humans

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Assemblability based on maximum likelihood configuration of tolerances

Assemblability based on maximum likelihood configuration of ...

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IEEE International Symposium on Assembly and Manufacturing (ISAM)

作者： A.C. Sanderson Center for Advanced Technology in Automation Robotics and Manufacturing Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

An assembly is defined by a configuration of parts of known geometries subject to tolerances in the pose, dimensions, and mating relations among part features. Using a tolerance model based on matrix transforms and Gaussian models of geometric variations, the pose and dimensional tolerance models are considered as a priori models of the assembly with nominal and variational components for both position and orientation. The mating relations are regarded as linear relational constraints, also with nominal and variational components. With this formulation, estimation of the configuration of parts may be posed as a maximum likelihood problem and solved by a Kalman filter algorithm. The resulting maximum likelihood configuration of the assembly may be used to evaluate the required deviation from nominal and the assemblability as defined by the maximum likelihood clearance from constraints. In addition, application of the technique to intermediate subassemblies may be used to evaluate assemblability of specific steps and discriminate among alternative assembly sequence plans.

关键词： Maximum likelihood estimation Solid modeling Robotic assembly Uncertainty ANSI standards Manufacturing automation robotics and automation computer aided manufacturing Information geometry systems engineering and theory

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Synthesized passive feedback control of sensor-rich structures

Synthesized passive feedback control of sensor-rich structur...

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American Control Conference (ACC)

作者： P. Akella 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

The passivity property of dissipative mechanical structures has long been exploited in designing passive controllers that provide robust stability even in the presence of unmodeled dynamics of the system. For an input/output map of a flexible structure to be passive, collocation of the actuators and sensors is required and also the sensors should measure the velocity of the system. The so-called smart structures frequently have more sensors than actuators. Therefore, the passive controller can at best utilize only a subset of the sensors. In this paper we consider the design of a squaring down matrix which would render a system passive subject to some additional performance considerations. The problem of obtaining the synthesized passive output is cast as a set of linear matrix inequalities (LMIs) which can be efficiently solved by the LMI Toolbox in Matlab. We apply this procedure with the assumption that the sensors provide both displacement and velocity information which is generally not true. We show that the passive controllers can be implemented without the use of velocity information. By using synthesized passive outputs in addition to naturally occurring passive outputs, we obtain better system performance. We present experimental results involving a single flexible beam with torque input and hub angular position and strain gage outputs.

关键词： Feedback control Intelligent sensors Control system synthesis Mechanical sensors Sensor systems Linear matrix inequalities Mechanical factors Control systems Robust stability Flexible structures

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