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Filtering by: Date Created 2002-08 Remove constraint Date Created: 2002-08 Department Aerospace Engineering and Engineering Mechanics Remove constraint Department: Aerospace Engineering and Engineering Mechanics

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  • Flutter Supression Using Linear Optimal and Fuzzy Logic Techniques

    Article thumbnail: Flutter Supression Using Linear Optimal and Fuzzy Logic Techniques
    Type:
    Article
    Description/Abstract:
    Not available
    Creator/Author:
    Weller, Tanchum; Moulin, Boris; Cohen, Kelly; Ben-Asher, Joseph Z., and Adin, Zvi
    Submitter:
    Kelly Cohen
    Date Uploaded:
    02/08/2017
    Date Modified:
    04/05/2017
    Date Created:
    2002-08
    License:
    All rights reserved

  • Experimental Studies on Adaptive Fuzzy Control of a Smart Structure

    Article thumbnail: Experimental Studies on Adaptive Fuzzy Control of a Smart Structure
    Type:
    Article
    Description/Abstract:
    The present investigation deals with the application of an Adaptive Fuzzy Control Algorithm for active vibration control of an experimental flexible beam. The two-dimensional model of the experimental cantilever beam, given by an orthogonal tetrahedral space truss, represents a slender cantilever aluminum (7075-T6) beam of rectangular cross-section (1145 × 60 × 1.95 mm3). A variety of transient disturbances are introduced to excite the first four modes of the beam. The resulting transverse displacements are observed by a single sheet (50 × 50 mm2) of piezoceramic material placed at the clamped end of the beam. Active control of the beam is provided by one, two or three identical sheets of piezoceramic material collocated with the sensor. The control moments applied by the piezoceramic actuator are made to emulate the behavior of a discrete dynamic vibration absorber. The virtual absorber is tuned to the fundamental frequency using classical methods and the tuning ratios are time-invariant. However, the uniqueness of this approach is that the damping parameters of the emulated absorber are continuously varied by means of a fuzzy logic control algorithm to provide near minimum-time suppression of vibration. It is demonstrated that application of this methodology allows for its real-time implementation and provides relatively quick settling times in the closed-loop.
    Creator/Author:
    Weller, Tanchum; Cohen, Kelly; Ben-Asher, Joseph Z., and Yaffe, Ronith
    Submitter:
    Kelly Cohen
    Date Uploaded:
    02/08/2017
    Date Modified:
    04/05/2017
    Date Created:
    2002-08
    License:
    All rights reserved