Title page for ETD etd-06082009-170722


Type of Document Master's Thesis
Author Lane, Steven
URN etd-06082009-170722
Title Time average feedforward control techniques for time varying systems
Degree Master of Science
Department Mechanical Engineering
Advisory Committee
Advisor Name Title
Burdisso, Ricardo A. Committee Chair
Leonard, Robefrt G. Committee Member
Thomas, Russell H. Committee Member
Keywords
  • Noise control
Date of Defense 1994-05-05
Availability restricted
Abstract

Adaptive FeedfolWard algorithms have been successfully applied in the active control of sound and vibrations~ Current approaches, such as the Filtered-X Least Mean Square algorithm, are limited in adaptability and applicability by the computationally intensive system identification process. The Time Average approach is a technique that promises to be a major advance in the active control of sound and vibration. This approach is based on statistical estimates of the error signals, and does not require having previous knowledge of the system. A new minimization algorithm has been developed, which enhances the performance of the Time Average controllers. A new technique to estimate the cost function is also presented. This technique is called the Real Time Cost Function Evaluation method. Based upon these new controller design concepts, single channel and multi-channel controllers were developed and experimentally tested. The experiments included control of a harmonically excited, simply supported beam, and the control of inlet tonal noise radiated from a JT1SD-l turbofan engine.

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