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Saturday, November 28, 2020 | History

3 edition of Integrated adaptive filtering and design for control experiments of flexible structures found in the catalog.

Integrated adaptive filtering and design for control experiments of flexible structures

Jen-Kuang Huang

Integrated adaptive filtering and design for control experiments of flexible structures

  • 292 Want to read
  • 40 Currently reading

Published by Old Dominion University Research Foundation, National Aeronautics and Space Administration, National Technical Information Service, distributor in Norfolk, Va, [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Adaptive filters.,
  • Flexible structures.

  • Edition Notes

    Statementby Jen-Kuang Huang; principal investigator.
    SeriesNASA-CR -- 188627., NASA contractor report -- NASA CR-188627.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15368236M

    COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. G. Song, “Precision position regulation of a shape memory alloy wire actuator using sliding-mode based robust control,” Advances in Elastic Vibrations and Smart Structures, Phoenix Publishing House PVT Ltd, Chap pp. , (Book Chapter). Adaptive Time-delay Command Shaping Filter for Flexible Manipulator Control. Transactions on Mechatronics, 9(4), S. Munir and W. J. Book. Control Techniques and Programming Issues for Time Delayed Internet Based Teleoperation. Journal of Dynamic Systems, Measurement, and Control, (2), D.-S. Kwon and W. J. Book. "For contributions to adaptive control theory, neural networks, and active-adaptive control of combustion systems" Siva Banda "For leadership in developing and applying multivariable flight control techniques for military applications" Di Benedetto, Maria "For contributions to the theory of nonlinear and hybrid control system design.

    Primary experiments that will be performed using this system include adaptive filtering with two or more FPAA’s operating in parallel, and investigation of switching effects on overall performance of the adaptive filter. The switching is controlled by an external digital signal, which is processed by FPGA or microprocessor Figure 2.


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Integrated adaptive filtering and design for control experiments of flexible structures by Jen-Kuang Huang Download PDF EPUB FB2

Adaptive control is one of the most practical approaches for vibration control of aerospace structures. Direct methods of adaptive control, indirect methods and adaptive filtering have been used for active vibration control and vibration suppression.

In new strategies, adaptive filtering as a practical and useful method has been applied to Cited by: 7. Integrated adaptive filtering and design for control experiments of flexible structures book Abstract—Flexible structures containing a large number of modes can benefit from adaptive control techniques which are well suited to applications that have unknown modeling parameters and poorly known operating conditions.

In this paper, we focus on a direct adaptive control approach that has. As depicted in Figurein adaptive system identification, the objective is to estimate an unknown system from its input and output observations given by x (k) and d (k), hout this book we restrict our attention to discrete-time signals and systems, so the independent time index k is an integer.

A model for the adaptive filter is chosen based on prior knowledge of the. Adaptive control was applied to a rigid bi-articulated structure, then to mono-articulated and biarticulated flexible structures equipped with piezoelectric sensors and piezoelectric and.

various FIR filter structures available, the direct form (transversal), the symmetric transversal form, and the lattice form are the ones often employed in adaptive filtering applications.

Applications Of Adaptive Filters Adaptive filters are widely used in telecommunications, control systems. This paper presents experimental results for the real-time adaptive identification and control of a flexible, slewing beam.

A frequency domain identification algorithm incorporating non-parametric transfer function estimation and least squares parametric estimation is used to reconstruct an accurate parametric model of the system, capable of accurately tracking changing plant dynamics in real. Seifert, DR, Chapkin, WA, Frank, G, & Baur, J.

"Design, Fabrication, and Testing of Optimized Flexible Cylinders." Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems.

Louisville, Kentucky, USA. NCA Tutorial on Adaptive Filtering: With applications for Active Control Jeffrey S. Vipperman ([email protected]) Assoc. Professor of Mech. Engr. Director, Sound, Systems, and Structures Laboratory University of Pittsburgh Pittsburgh, PA IMECE ‘06 Nov.

9, Chicago, IL. In this paper, an active mass damper (AMD) with adaptive control design is used to mitigate the vibrations of a multi-degree-of-freedom (MDOF) nonlinear structure under earthquake excitation. In the adaptive control design, a modified unscented Kalman filter (UKF) is developed to identify the unknown states and parameters adaptively.

Based on the identified states and parameters, model. Digital Signal Processing and System Theory| Adaptive Filters | Introduction Slide I-3 Entire Semester: Contents of the Lecture Introduction with examples for speech and audio processing Wiener Filter Linear Prediction Algorithms for adaptive filters LMS und NLMS algorithm Affine projection RLS algorithm Control of adaptive filters Signal processing structures.

• Design guide for practical application of the least squares estimation method and Kalman filters. • Study of classical adaptive systems together with neural networks, genetic algorithms and fuzzy logic systems and their combination to deal with such complex problems as underwater acoustic signal processing.

In the experiments, we simulate the self-identification of a flexible structure with variable inertia systems, where lower vibration modes are changed by the variable inertia system adapting to the lack of modes in identification of unknown parameters.

The adaptive algorithm is demonstrated on a flexible composite beam with a variable tip mass. Adding or subtracting mass to the tip of the beam varies the first structural mode from 24 Hz to 11 Hz. Control experiments demonstrate that the closed-loop damping is reduced from 21% to 4% critical when the filter parameters are not adapted to the.

Enhanced Adaptive Filtering Algorithm Based on Sliding Mode Control for Active Vibration Rejection of Smart Beam Structures. Integrated modeling for design of lightweight, active mirrors. Optical Engineering, Vol. 50, No. 6 Experimental Control of Flexible Structures Using Nonlinear Modal Coupling: Forced and Free Vibration.

IEEE Conference on Computer Aided Control System Design, IEEE International Conference on Control Applications, IEEE International Symposium on Intelligent Control, () A Neural Network Solution for Fixed-Final Time Optimal Control of.

Decreasing the damage in smart structures using integrated online DDA/ISMP and semi-active control. Iterative learning control as a method of experiment design for improved system identification.

simultaneous identification of multiple modes for flexible structures using adaptive filtering techniques. Adaptive systems have been used in a wide range of applications for almost four decades.

Examples include adaptive equalization, adaptive noise-cancellation, adap-tive vibration isolation, adaptive system identi cation, and adaptive beam-forming. It is generally known that the design of an adaptive lter (controller) is a di.

Yang et al. 22 presented a feedforward adaptive controller based on an adaptive filter for system dynamics identification of composite laminated smart structures with experimental verifications.

TY - BOOK. T1 - Adaptive Filters. T2 - Structures, Algorithms and Applications. AU - Honig, Michael L. AU - Messerschmitt, David G. PY - Y1 - Adaptive Control of Flexible Structures Using Residual Mode Filters Flexible structures containing a large number of modes can benefit from adaptive control techniques which are well suited to applications that have unknown modeling parameters and poorly known operating conditions.

In this paper, we focus on a direct adaptive control approach that has been extended to handle adaptive. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation.

Snowbird, Utah, USA. September 16–18, VT03A ASME. This book is based on a graduate level course offered by the author at UCLA and has been classed tested there and at other universities over a number of years. This will be the most comprehensive book on the market today providing instructors a wide choice in designing their courses.

* Offers computer problems to illustrate real life applications for students and professionals alike * An. The goal of this program is to develop smart prosthetic sockets that can accommodate for volume fluctuations in the residual limb. In this research, fluidic flexible matrix composite wafers (f2mc) are integrated into the prosthetic socket for volume regulation.

The f2mc’s are flexible tubular elements embedded in a flexible matrix. Adaptive filtering Basics. Signal models matic control applications). The book covers all the theory an applied en- gineer or researcher can ask for: from algorithms with complete derivations, the design parameters and compare different methods.

The toolbox works. The Filtering Problem. Linear Optimum Filters. Adaptive Filters. Linear Filter Structures. Approaches to the Development of Linear Adaptive Filters. Adaptive Beamforming.

Four Classes of Applications. Historical Notes. Bibliography. Chapter 1 Stochastic Processes and Models. User Tools. Cart. Sign In. The control of flexible systems is a large and important field of study.

Unwanted transient deflection and residual vibration are detrimental to many systems ranging from nano-positioning devices to large industrial cranes. Thousands of researchers have worked diligently for decades to provide solutions to the challenging problems posed by flexible dynamic systems.

control system and various bending filter structures are presented in Section 3. Section 4 presents the mathematical formulations describing the integrated design problem to optimize the gain schedules and bending filter parameters.

An integrated gain schedules and filter design case study for a sounding rocket is introduced in Section 5. This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation.

The theoretical contributions and the case studies. This is a wonderful little book on adaptive filtering. I found the examples enjoyable and the text very easy to understand. To better facilitate my understanding of this material I wrote some notes on the main text and worked a great number of the problems while I worked through the book.

The DEAP’s consist of a silicone based elastomer and a carbon ink based electrode held together with a rigid frame. The rapid prototyping utilizes high resolution 3D printing technology to manufacture various shaped framing structures designed with computer aided design (CAD) software.

Adaptive Systems have been used in a wide range of applications for almost four decades. Examples include adaptive equalization, adaptive noise-cancellation, and adaptive control. The design of adaptive filters/controllers is a difficult nonlinear problem for which good systematic synthesis procedures have proven a difficult : Bijan Sayyarrodsari.

In real-life implementations of the designed systems for voice communication [] with the control system it is necessary to resolve an issue with additive noises for the particular environment [7,8].Voice control in smart apartments is preferred mainly by older or handicapped fellow-citizens [].This paper focuses on the design and implementation of a comfortable voice control operational and.

Topics: Adaptive control, Robotics, Shape memory alloys, Wire, Degrees of freedom, Design, Hardware, Modeling, Nonlinear dynamics Design and Analysis of SMA Woven Fabric Amanda Skalitzky, Austin Gurley, David Beale, Kyle Kubik. Introduction to Least Mean Square Adaptive Finite Impulse Response Filters.

An adaptive filter is a digital filter that has self-adjusting characteristics. It is capable of adjusting its filter coefficients automatically to adapt the input signal via an adaptive algorithm. Adaptive filters play an important role in modern digital signal processing (DSP) products in areas such as telephone.

This second edition of Adaptive Filters: Theory and Applications has been updated throughout to reflect the latest developments in this field; notably an increased coverage given to the practical applications of the theory to illustrate the much broader range of adaptive filters applications developed in recent years.

The book offers an easy to understand approach to the theory and application. Unsupervised Adaptive Filtering, Blind Source Separation (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Book 18) - Kindle edition by Haykin, Simon. Download it once and read it on your Kindle device, PC, phones or tablets.

Use features like bookmarks, note taking and highlighting while reading Unsupervised Adaptive Filtering, Blind Source Reviews: 1. Adaptive Control: Stability, Convergence, and Robustness. Post date: 11 Sep Presents the deterministic theory of identification and adaptive control, focusing on linear, continuous time, single-input single-output systems.

Complementary Filter Banks Subband Adaptive Filter Structures Selection of Analysis and Synthesis Filters Computational Complexity Decimation Factor and Aliasing Low-Delay Analysis and Synthesis Filter Banks A Design Procedure for Subband Adaptive Filters An Example "Recent Developments in Learning Control and System Identification for Robots and Structures," Dynamics of Flexible Structures in Space, C.L.

Kirk and J.L. Junkins, Editors, Computational Mechanics Publications, Southhampton, Boston and Springer-Verlag, New York, co. “Robust Position Control of Flexible Adaptive Structures with Embedded PZT Actuators,” In: Sirkis, J.

and Washington, G. (eds), ASME International Mechanical Engineering Congress and Exposition, Adaptive Structures & Material Systems, Proceedings. Structural mechanics is the study of the mechanical behavior of solids and structures.

Aerospace structures differ from other structures due to their high demands for performance and lightweight. Modern aerospace structures typically require the use of composite materials, advanced multifunctional materials and thin-walled constructions.A design of novel slow wave structures and their RF applications will be discussed for further miniaturization of RF passives.

And finally, integration of slow wave structures with nano-scale ferromagnetic (permalloy) and ferroelectric (PZT) thin film patterns will be demonstrated and investigated for their efficacy in developing fully.