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ANVC using neural networks

ANVC using neural networks

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Neuro-adaptive active control schemes for noise cancellation and vibration suppression are developed and presented in this chapter. Multilayered perceptron and radial basis function neural networks are considered in both the modelling and control contexts. A feedforward ANC structure is considered for optimum cancellation of broadband noise in a three-dimensional propagation medium. Online adaptation and training mechanisms allowing the neural network architecture to characterise the optimal controller within the ANC system are developed. The neuro-adaptive ANC algorithms thus developed are implemented within a free-field noise environment and simulation results verifying their performances in the cancellation of broadband noise are presented and discussed.

Inspec keywords: multilayer perceptrons; radial basis function networks; noise abatement; vibration control; neurocontrollers; learning (artificial intelligence); adaptive control

Other keywords: noise cancellation; feedforward ANC structure; online adaptation; free field noise environment; radial basis function neural network; ANC system; broadband noise cancellation; vibration control; optimal controller; neuroadaptive ANC algorithm; optimum cancellation; training mechanism; neuroadaptive active control scheme; active control; three dimensional propagation medium; vibration suppression; broadband noise control; neural network architecture; multilayered perceptron

Subjects: Neurocontrol

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