Simulation studies for multichannel active vibration control

Prakash, Shashikala and Balasubramaniam, R and Praseetha, KK (2002) Simulation studies for multichannel active vibration control. In: Conference on Smart Materials, Structures, and Systems, 12-14 Dec 2002, Bangalore, India.

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Traditional approach to vibration control uses passive techniques, which are relatively large, costly and ineffective at low frequencies. Active Vibration Control (AVC) is used to overcome these problems and in AVC additional sources (secondary) are used to cancel vibration from primary source based on the principle of superposition theorem Since the characteristics of the vibration source and environment are time varying, the AVC system must be adaptive. Adaptive systems have the ability to track time varying disturbances and provide optimal control over a much broader range of conditions than conventional fixed control systems. In multi channel AVC vibration fields in large dimensions are controlled and is more complicated. Therefore to actively control low frequency vibrations on large structures, multi channel AVC requires a control system that uses multiple secondary sources to control the vibration field simultaneously at multiple error sensor locations. The error criterion that can be directly measured is the sum of squares of outputs of number of sensors. The adaptive algorithm is designed to minimize this and the algorithm implemented is the quot;Multiple error LMS algorithmquot;. The best known applications of multiple channel FXLMS algorithm is in real time AVC and system identification. Additionalr applications are in the control of propeller induced noise in flight cabin interiors. In the present paper the results of simulation studies carried out in MATLAB as well as on TMS320C32 DSP processor will be brought out for a two-channel case.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Structural vibration;Vibration damping;Active control; Superposition (mathematics);Optimal control;Aircraft noise;Noise reduction;Adaptive control;Data simulation;Matlab
Subjects: ENGINEERING > Structural Mechanics
Depositing User: Mr. Ravikumar R
Date Deposited: 11 Sep 2006
Last Modified: 24 May 2010 04:20

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