Position Control of a Hard Disk Drive with a Neuro-PID Controller

Abstract

A neuro-PID control is applied to the position control of a hard disk drive. The PID gains are tuned using a neural network in such a way that the tracking error is reduced while avoiding the stimulation of a mechanical resonance. A nonlinear performance criterion is used for updating the connection weights of the neural network so that unwanted motions of the magnetic head are reduced when the tracking error is sufficiently small. The effectiveness of the proposed controller is demonstrated by simulations.