4aEA2. Optimal digital compensation networks for acoustic transducers.

Session: Thursday Morning, June 19

Author: Paul J. Titterton, Jr.
Location: SRI Int., 333 Ravenswood Ave., Menlo Park, CA 94025


A digital compensation network is designed which (1) minimizes deviation from the user-determined optimal transducer response, (2) limits the sensitivity to physical perturbations of that response, and (3) ensures actuator authority limitations for known and unknown-but-bounded input sequences. H[sup (infinity)], H[sup 2], l[sup (infinity)], and l[sup 1] transfer function norms translate the design goals and specifications into a convex constrained optimization problem, which is solved using semidefinite programming. The methodology can be simply extended to treat transducer arrays and optimal beamforming. A mathematically modeled underwater acoustic transducer provides a numerical example for exploring the optimal trade-off between competing specifications. [This work is partialy supported by SRI International.]

ASA 133rd meeting - Penn State, June 1997