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Passivity motivated controller design for flexible structures

Passivity motivated controller design for flexible structure...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： D. Hughes J.T. Wen Control Laboratory for Mechanical Structures (CLaMS ) Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

When actuators and sensors on a controlled mechanical structure form naturally passive pairs, which usually requires physical collocation, very robust stabilizing controllers can be constructed. If the number of such naturally passive pairs is small, the closed loop performance may not be satisfactory. This motivates the incorporation of additional sensors in the control design. However, the passivity property no longer holds for these sensors. Some thoughts are presented on extending the passivity based design to incorporate these non-collocated sensors by using some nominal model information to synthesize a fictitious strictly passive output. Simulation and experimental studies are presented to show the merits of this approach.< >

关键词： Flexible structures control systems Actuators Feedback Mechanical sensors Robustness control design Q measurement Passive filters Laboratories

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Application of Passivity Motivated controller Design for a Nonlinear Flexible Pointing System

Application of Passivity Motivated Controller Design for a N...

引用

American control Conference (ACC)

作者： P. Akella X. Chen J.T. Wen Control Laboratory for Mechanical Structures (CLaMS) Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

This paper presents a passivity based approach to the stabilization of a flexible beam and its application to a testbed at the Picatinny Arsenal. The basic control design consists of tuning an inner passive loop for the rigidbody response, synthesizing a passive output based on an observer and all the available outputs, and finally filtering the synthesized passive output by an optimal passive filter before closing the loop. Previous simulation and experimental experience in the C La MS laboratory at Rensselaer has shown the efficacy of this approach. Preliminary simulation results based on the Picatinny model are encouraging. Experimental validation on the physical testbed is currently planned.

关键词： Nonlinear control systems control systems Passive filters Laboratories System testing Modeling Robustness Application software control design Friction

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Real-time control of reactive ion etching: identification and disturbance rejection

Real-time control of reactive ion etching: identification an...

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IEEE Conference on Decision and control

作者： B.A. Rashap P.P. Khargonekar J.W. Grizzle M.E. Elta J.S. Freudenberg F.L. Terry Electronics Manufacturing and Control Systems Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

The main processes involved in the manufacture of integrated circuits are deposition, lithography, etching, and implantation. This paper describes results on identification and real-time control of reactive ion etchers. Experimental results show that significant disturbances to the etch rate can be attenuated with real-time feedback control.< >

关键词： Etching Feedback control Plasma applications Manufacturing processes Laboratories Pressure control Weight control Open loop systems PD control Pi control

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Applications of control to Semiconductor Manufacturing: Reactive Ion Etching

Applications of Control to Semiconductor Manufacturing: Reac...

引用

American control Conference (ACC)

作者： M. Elta H. Etemad J. S. Freudenberg M. D. Giles J. W. Grizzle P. T. Kabamba P. P. Khargonekar S. Lafortune S. M. Meerkov J. R. Moyne B. A. Rashap D. Teneketzis F. L. Terry Solid State Electronics Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA Control Systems Laboratory and Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

This paper describes the development of real-time control technology for the improvement of manufacturing characteristics of reactive ion etchers. A general control strategy is presented as well as supporting experime... 详细信息

关键词： Semiconductor device manufacture Etching Plasma applications Laboratories Pulp manufacturing Manufacturing processes Plasma materials processing Feedback control control systems Production facilities

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Target Detection and Localization from Bearing-Only and Bearing/range Measurements

Target Detection and Localization from Bearing-Only and Bear...

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IEEE Regional Conference on Aerospace control systems

作者： L.G. Weiss S.C.A. Thomopoulos Applied Research Laboratory Pennsylvania State University PA USA Decision and Control Systems Laboratory Department of Electrical and Computer Engineering Pennsylvania State University PA USA

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High Resolution Target Range Estimation in the Presence of Multipath Using JDEF

High Resolution Target Range Estimation in the Presence of M...

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IEEE Regional Conference on Aerospace control systems

作者： M.D. Reger S.C.A. Thomopoulos Applied Research Laboratory Pennsylvania State University University Park PA USA Decision and Control Systems Laboratory Department of Electrical and Computer Engineering Pennsylvania State University University Park PA USA

The Joint Detection/Estimation Filter (JDEF) [1,2] can be utilized to improve the performance of a single Extended Kalmart Filter (EKF) when the problem of estimation involves a large initial variance. In this case the JDEF is used to estimate the presence and location of a point target when the received signal is corrupted by multipath. In the formulation of the problem it was assumed that both the target and sensor were stationary and that there was an equal probability of the point target being present or absent along a center look direction. This implementation of the JDEF proved to be quite successful and can be easily expanded to estimate a larger number of unknown parameters.

关键词： Filters State estimation Laboratories Delay estimation Underwater tracking Mean square error methods control systems Sensor phenomena and characterization Sensor systems Gaussian noise

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High Resolution Multi-Radar Data Fusion Using JDEF

High Resolution Multi-Radar Data Fusion Using JDEF

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IEEE Regional Conference on Aerospace control systems

作者： T.W. Hilands S.C.A. Thomopoulos Applied Research Laboratory Pennsylvania State University University Park PA USA Decision Control Systems Laboratory Department of Electrical and Computer Engineering Pennsylvania State University University Park PA USA

This paper addresses the problem of multi sensor detection and high resolution signal parameter estimation using joint maximum a posteriori detection and high order nonlinear filtering techniques. The model-based fusion approach offers the potential for increased target resolution in range/azimuth space. The technique employs joint detection/estimation filters (JDEF) for target detection and parameter localization. The JDEF approach segments the aggregate nonlinear model over the entire target resolution space into subcells. This partitioning leads to extremely accurtate detection and parameter estimation. The proposed JDEF approach has a built-in capability for automatic data alignment from multiple sensors, and can be used for centralized, noncentralized, and distributed data fusion.

关键词： Sensor arrays Sensor fusion Radar tracking Phased arrays Delay estimation Phase estimation Delay effects Sea measurements Laboratories Signal resolution

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High Order Filters for Estimation in Non-Gaussian Noise

High Order Filters for Estimation in Non-Gaussian Noise

引用

American control Conference (ACC)

作者： Stelios C. A. Thomopoulos Thomas W. Hilands Decision and Control Systems Laboratory Department of Electrical and Computer Engineering Pennsylvania State University University Park PA USA Applied Research Laboratory Pennsylvania State University University Park PA USA

In this paper high order vector filter equations are developed for estimation in non-Gaussian noise. The difference between the filters developed here and the standard Kalman filter is that the filter equation contains nonlinear functions of the innovations process. These filters are general in that the initial state covariance, the measurement noise covariance, and the process noise covariance can all have non-Gaussian distributions. Two filter structures are developed. The first filter is designed for systems with asymmetric probability densities. The second is designed for systems with symmetric probability densities. Experimental evaluation of these filters for estimation in non-Gaussian noise, formed from Gaussian sum distributions, shows that these filters perform much better than the standard Kalman filter, and close to the optimal Bayesian estimator.

关键词： Filters Bayesian methods Noise measurement State estimation Laboratories Nonlinear equations Technological innovation Vectors control systems Standards development

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Nonlinear Adaptive Joint Detection/Estimation for Multi-Radar Data Fusion

Nonlinear Adaptive Joint Detection/Estimation for Multi-Rada...

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American control Conference (ACC)

作者： Thomas W. Hilands Stelios C. A. Thomopoulos Applied Research Laboratory Pennsylvania State University University Park PA USA Decision and Control Systems Laboratory Department of Electrical and Computer Engineering Pennsylvania State University University Park PA USA

This paper addresses the problem of multisensor detection and high resolution signal parameter estimation using joint maximum a posteriori detection and high order nonlinear filtering techniques. The model-based fusion approach offers the potential for increased target resolution in range/azimuth space. The technique employs joint detection/estimation (JDE) filters for target detection and target parameter localization. The JDE approach segments the aggregate nonlinear model over the entire target resolution space into resolution subcells. This partitioning leads to extremely accurtate detection and parameter estimation. The proposed JDE approach has a built-in capability for automatic data alignment from multiple sensors, and can be used for centralized, noncentralized, and distributed data fusion.

关键词： Sensor arrays Parameter estimation Phased arrays State estimation Sensor fusion Radar tracking Clutter Delay effects Sea measurements Signal resolution

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High Resolution Model Order Selection and Parameter Estimation Using JDEF (Joint Detection/Estimation Filter)

High Resolution Model Order Selection and Parameter Estimati...

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IEEE Regional Conference on Aerospace control systems

作者： S.C.A. Thomopoulos K. Ramaswamy G. Rajagopal T.W. Hilands Decision & Control Systems Laboratory Department of Electrical & Computer Engineering Pennsylvania State University University Park PA USA Applied Research Laboratory Pennsylvania State University University Park PA USA

The problem of model order selection in the presence of parametric uncertainty is considered. A high resolution joint detection/estimation filter is used to detect the correct order of the model and estimate the signa... 详细信息

关键词： Parameter estimation Radar detection Acoustic signal detection Filters Additive noise Predictive models Laboratories Mathematical model State estimation Higher order statistics

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