Real-time adaptive control of rotationally-induced vibration

A method for attenuating periodic vibration in a rotating device, where the periodic vibration comprises a series of time-variable coefficients and functions, said method comprising the steps of:

• detecting the periodic vibration in the rotating device;
• in response to said detecting, extracting one or more of the time-variable coefficients and functions from the periodic vibration;
• in response to said extracting one or more of the time-variable coefficients and functions from the periodic vibration, training an artificial neural network comprising input neurons, output neurons, and a hidden neuron, the connections from the input neurons to the hidden neuron constituting a weight layer having weights and said training comprising adjusting the values of the weights in real time;
• generating a cancellation signal using the adjusted weights;
• and
• in response to said generating a cancellation signal, imparting a force to the rotating device.

A method of attenuating a periodic disturbance in a rotating device, comprising the steps of:

• sensing the periodic disturbance;
• extracting selected components of the periodic disturbance;
• applying the selected components to an artificial neural network to generate a set of weighting coefficients;
• generating a function corresponding to the selected components and employing the weighting coefficients in the function;
• applying the function to the device through a transducer;
• and
• adapting the weighting coefficients in response to changes sensed over time in the periodic disturbance.