Title :
Fabrication and optimal strain sensor placement in an instrumented disk drive suspension for vibration suppression
Author :
Oldham, Kenn ; Kon, Stanley ; Horowitz, Roberto
Author_Institution :
Comput. Mech. Lab., California Univ., Berkeley, CA, USA
fDate :
June 30 2004-July 2 2004
Abstract :
Instrumenting a disk drive suspension with vibration sensing strain gages can enhance vibration suppression in hard disk drives, provided that the gages are properly located and are sufficiently sensitive. The cost function of an optimal LQG controller with Kalman filter is proposed as an objective function for determining the optimal location and orientation of displacement sensors on a flexible structure, such as the placement of strain gages on a disk drive suspension. Analytical bounds are derived for the Kalman filter Riccati equation in a modal system with large sensor noise. These bounds produce analytical approximations that reduce the computational complexity of the LQG optimization approach with cheap control. Results are applied to a prototype disk drive suspension to identify sensor positions and sensor requirements. Methods of installing strain gages on steel at precise locations are briefly discussed.
Keywords :
Kalman filters; Riccati equations; approximation theory; computational complexity; disc drives; flexible structures; linear quadratic Gaussian control; optimal control; strain sensors; vibration control; Kalman filter Riccati equation; computational complexity; cost function; displacement sensors; flexible structure; hard disk drives; instrumented disk drive suspension; optimal LQG controller; optimal strain sensor placement; prototype disk drive suspension; sensor noise; vibration sensing strain gages; vibration suppression;
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-8335-4