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Journal of Applied Sciences

Year: 2004  |  Volume: 4  |  Issue: 1  |  Page No.: 140 - 143

Active Vibration Isolation System Based on Artificial Neural Network

Ibrahim M. Rida


Effective isolation of high precision instruments from disturbances is commonly achieved via active vibration isolation systems (AVIS). However, there are a number of problems associated with the operation of AVIS. One such a problem is due to fluctuations of the AVIS plant characteristics. As a result, displacements of the object are observed, which makes the isolation incomplete. This work proposes an artificial neural network (ANN) based control system whereby training data for the ANN is obtained from an improved optimal algorithm for AVIS. The performance of the proposed ANN based control system is investigated and results are compared to those obtained from analytical models. The results show insensitivity of the proposed ANN to the variation in plant`s time constant. Furthermore, the ANN procedure accomplished excellent vibration isolation compared with previous work. This work also shows that the use of a neural network does not require sophisticated adaptive methods

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