Optimization of actuator arrays for aircraft interior noise control

Cabell, Randolph H.; Lester, H. C.; Mathur, Gopal P.; Tran, B. N.

doi:10.2514/6.1993-4447

Cited by 11 publications

(6 citation statements)

References 2 publications

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“…The modal control forces and controlled eigenvalues can now be used in the linear system of equations in Eq. (15) to solve for the modal error components, f", and they are given in Table 2. Note that this procedure could be used with any number of included modes; increasing the number of modes will simply increase the amount of computations required.…”

Section: Eigenvalue-eigenfunction Asac Design Approachmentioning

confidence: 99%

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Concepts on an Integrated Design Approach to the Active Control of Structurally Radiated Noise (ASAC)

Silcox

Fuller

Burdisso

1995

Journal of Vibration and Acoustics

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Concepts on an Integrated Design Approach to the Active Control of Structurally Radiated Noise (ASAC)This work describes a range of issues relating to the implementation of active control for noise and vibration problems. It is important in the commercialization of this technology to consider these and many other factors relating to design of these systems. Many of the concepts required for efficient implementation have not been considered and it is important to begin giving design consideration to these aspects. A design technique based upon the eigenbehavior of feedforward controlled systems is developed and applied to control radiation from structures. Integration of the control system with the physical system dynamics allows the eigenproperties to be defined to meet a prescribed design criteria. Here the technique is demonstrated to implement a structural system that inefficiently couples vibration energy to acoustic energy. In addition, an approach to integrate "knowledge"about actuator configurations into an active control system that reduces spillover effects into structural vibrations is demonstrated. This approach has the advantages that no additional hardware is required while also reducing the order of the control system in terms'of degrees of freedom. Finally, some design trade-offs between the passive material properties of an active trim panel and control system performance are examined. Improved performance can be attained but at the cost of additional weight.

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Section: Eigenvalue-eigenfunction Asac Design Approachmentioning

confidence: 99%

“…More importantly, using no additional error sensors, the vibration is controlled without a significant drop in acoustic performance. An extension of this same concept applied to a MD-90 fuselage is reported in [15]. Also, recent unpublished work has successfully implemented this algorithm in a real time controller for vibration control of a beam.…”

Section: Npmentioning

confidence: 99%

Concepts on an Integrated Design Approach to the Active Control of Structurally Radiated Noise (ASAC)

Silcox

Fuller

Burdisso

1995

Journal of Vibration and Acoustics

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“…Doppenberg and Koers [9] conducted a numerical study of digital control of quasiperiodic noise in an enclosure. Cabell, Lester, Mathur, and Tran [10] reported experimental investigations into noise control of bandlimited disturbances in the interior of a McDonnell Douglas DC-9 aircraft fuselage. More recently, Sampath and Balachandran [11,12] carried out experimental investigations into active control of bandlimited disturbances in a three-dimensional enclosure.…”

Section: Introductionmentioning

confidence: 98%

<title>Active interior acoustics control of bandlimited disturbances</title>

Sampath

Balachandran

1997

SPIE Proceedings

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Extensions of our previous analytical and experimental investigations into active control of bandlimited disturbances in a three-dimensional enclosure are presented. The frequency range of the bandlimited disturbance is chosen to encompass structural and/or enclosure resonances. Distributed piezoceramic actuators and distributed polyvinylidene fluoride (PVDF) sensors are mounted on one of the enclosure boundaries. Acoustic sensors are used inside and outside the enclosure. An analytical formulation based on a state-space model is developed for local vibration control on an enclosure boundary and/or local noise control inside the enclosure for bandlimited disturbances. The error sensor signals are minimized by using digital feedforward control schemes based on filtered-U gradient descent algorithms. Analytical predictions from the current work are compared with the results obtained in our previous experimental investigations and discussed.

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“…Reducing the computational complexity of the multiple-error LMS algorithm has also been studied [21]. Work has also been done to reduce the complexity of a large feedforward control system by grouping the actuators together, thereby creating a group of actuators driven by a single-control channel [22,23]. This reduces the computational complexity since fewer control outputs must be calculated, and can improve the conditioning of the control system by removing redundancy.…”

Section: Introductionmentioning

confidence: 99%

A Principal Component Algorithm for Feedforward Active Noise and Vibration Control

Cabell

Fuller

1999

Journal of Sound and Vibration

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A principal component least mean square (PC-LMS) adaptive algorithm is described that has considerable benefits for large control systems used to implement feedforward control of single frequency disturbances. The algorithm is a transform domain version of the multichannel filtered-x LMS algorithm. The transformation corresponds to the principal components (PCs) of the transfer function matrix between the sensors and actuators in a control system at a single frequency. The method is similar to other transform domain LMS algorithms because the transformation can be used to accelerate convergence when the control system is ill-conditioned. This ill-conditioning is due to actuator and sensor placement on a continuous structure. The principal component transformation rotates the control filter coefficient axes to a more convenient coordinate system where (1) independent convergence factors can be used on each coordinate to accelerate convergence, (2) insignificant control coordinates can be eliminated from the controller, and (3) coordinates that require excessive control effort can be eliminated from the controller. The resulting transform domain algorithm has lower computational requirements than the filtered-x LMS algorithm. The formulation of the algorithm given here applies only to single frequency control problems, and computation of the decoupling transforms requires an estimate of the transfer function matrix between control actuators and error sensors at the frequency of interest. The robustness of the PC-LMS algorithm to modeling errors is shown to be identical to the filtered-x LMS algorithm, and the statistical properties of the principal components are used to select a subset of the PCs to control, depending on the control application. The variation of the PCs with frequency is investigated, and an online identification procedure is described to compute the transfer function matrix while the controller is operating. The feasibility of the PC-LMS method was demonstrated in real-time noise control experiments involving 48 microphones and 12 control actuators mounted on a closed cylindrical shell. Convergence of the PC-LMS algorithm was more stable than the filtered-x LMS algorithm. In addition, the PC-LMS controller produced more noise reduction with less control effort than the filtered-x LMS controller in several tests.

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Optimization of actuator arrays for aircraft interior noise control

Cited by 11 publications

References 2 publications

Concepts on an Integrated Design Approach to the Active Control of Structurally Radiated Noise (ASAC)

Concepts on an Integrated Design Approach to the Active Control of Structurally Radiated Noise (ASAC)

<title>Active interior acoustics control of bandlimited disturbances</title>

A Principal Component Algorithm for Feedforward Active Noise and Vibration Control

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