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    In this study, the control characteristics of two kinds of dynamic vibration absorber (D. V. A.), an active D. V. A. with a feedback link alone and an active D. V. A. with feedback and feedforward links, are considered and compared to those of a passive D. V. A. Particularly, the relationships between the control performance and the criterion, the mass ratio or the input characteristics are investigated. Furthermore, in order to examine the robustness of the three kinds of D. V. A., the influences of changes of system parameters and input characteristics on the control performances are clarified. As a result, the fundamental design data on the active dynamic vibration absorbers are obtained.
    Robustness
    Feed forward
    Input shaping
    Active Vibration Control
    Dynamic Vibration Absorber
    Feedback Control
    Citations (2)
    In many active noise and vibration control system it is desired to reduce the vibration and also the noise emitted by flexible structure. With this objective the task of t he controller is to control maximum number of modes allowed by the control system limitations. Several key parameters in the control system design for this purpose are the location, number and size of actuators and sensors on a flexible structure. In this paper a simply-supported thin plate with laminated piezoelectric sensors and actuators is considered with the aim of reducing the vibrations and noise emitting from it. For this purpose, a performance index based on Hankel singular values of the system is selected. The resulting nonlinear optimization problem is solved using a new Particle Swarm Optimization (PSO) algorithm. The results are also verified with a state-feedback controller.
    Active Vibration Control
    Citations (0)
    Experiments have been conducted in NASA Langley''s Acoustics and Dynamics Laboratory to determine the effectiveness of optimized actuator/sensor architectures and controller algorithms for active control of harmonic interior noise. Tests were conducted in a large scale fuselage model - a composite cylinder which simulates a commuter class aircraft fuselage with three sections of trim panel and a floor. Using an optimization technique based on the component transfer functions, combinations of 4 out of 8 piezoceramic actuators and 8 out of 462 microphone locations were evaluated against predicted performance. A combinatorial optimization technqiue call tabu search was employed to select the optimum transducer arrays. Three test frequencies represent the cases of a strong acoustic and strong structural response, a weak acoustic and strong structural response and a strong acoustic and weak structural response. Noise reduction was obtained using a Time Averaged/Gradient Descent (TAGD) controller. Results indicate that the optimization technique successfully predicted best and worst case performance. An enhancement of the TAGD control algorithm was also evaluated. The principal components of the actuator/sensor transfer functions were used in the PC-TAGD controller. The principal components are shown to be independent of each other while providing control as effective as the standard TAGD.
    Active Noise Control
    Citations (16)
    Based on the FxLMS algorithm,a weight-constrained filtered-FxLMS(CFxLMS)algorithm,which is applied for a two-stage vibration isolation system,is proposed for the broadband feedforward active vibration control system in this paper.Computer simulation of an active vibration isolation system based on giant magnetostrictive actuator shows that the robustness of the system gets improved.
    Feed forward
    Active Vibration Control
    Robustness
    Citations (1)
    The use of the piezoelectric (PZT) actuator optimization for simultaneous aircraft cabin noise and vibration control is effective in reducing both noise and vibration. The study explores PZT elements into different control groups as means to simplify the control systems while increasing the control authority. A genetic algorithm is developed to optimize the noise and vibration separately and independently. By the application of Pareto cooperative optimization approach the present work can be extended to both noise and vibration reduction performance.
    Active Vibration Control
    Citations (0)
    This paper deals with a study on the active structure-borne sound control of a flexible plate by the feedback control method. It involves modeling a real structure as a reduced-order lumped parameter model on the basis of modal analysis, and then adopting modern control theory to control the vibration of selected multimodes of a plate that has high radiation efficiency. The modeling procedure and the LQ and suboptimal control design are presented; control simulation of the discrete model is carried out in order to demonstrate the effectiveness of the method. Experimental work with vibration control of the plate enables a final verification.
    Isolation
    Active Vibration Control
    Active Noise Control
    Structural acoustics
    Basis (linear algebra)
    Citations (1)
    In order to improve the isolation effect of ultra-precision vibration isolation platform, an approach of advancing structural parameters optimization for the system based on fuzzy control is presented. This paper created a platform parametric model In ADAMS / view; completed the structural optimization under circumstances of taking the acceleration of vibration isolation platform, the system dynamic deflection and the dynamic displacement of the base as performance objective function; and applied the method of co-simulation using ADAMS and MATLAB under fuzzy control. The simulation results show that the active vibration isolation system optimized by ADAMS could effectively enhance the effect of active vibration isolation platform; the method of co-simulation provided a new way for dynamics studies of vibration isolation system.
    Isolation
    For many of the applications a light weight system with higher speed need to be designed. But vibration is a prominent factor in this case. Active vibration control method is an efficient method to eliminate the undesired vibration. This technique finds application in many engineering fields. Vibration control of a smart cantilever beam using this method is presented in this study. Both experimental and simulation techniques are used to study the control of vibration of the beam. Various classical controllers like Proportional, Proportional - Integral, and Proportional -Integral Plus Derivative controllers are used and performances of these controllers are compared. An experimental set up is made for this study and controllers are designed in LabView©platform. A closed loop control system is developed to study active vibration control technique. The experimental result shows effective control of vibration of the beam structure using different classical controllers. In the present study, simulation is also carried out to demonstrate the active vibration control of cantilever beam. ANSYS© and MATLAB© softwares are used for this purpose. Both open loop and closed loop transient responses of the beam are obtained and the results show the effective vibration suppression of the beam. Finally, the experimental and simulation results are compared.
    Active Vibration Control