This project is focused on Disk Drive servo control using an adaptive scheme. A method of stabilizing feedback control, known as adaptive-Q control is applied to a LQG disk drive control system to improve its disturbance rejection property. This approach follows the well known result that all stabilizing controllers for a plant can be synthesized by conveniently parametrized augmentations to a nominal controller. The project involves developing numerically stable fast algorithms to update the adaptive filter in real time. Lattice filter based RLS schemes to update the adaptive filter are currently being investigated.

Researchers:

1. K. Krishnamoorthy

Related Publications:

1. Adaptive Learning Control