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Showing papers on "Design tool published in 1968"


Journal ArticleDOI
Lester D Edinger1
TL;DR: Results of the study showed that a system designed by the synthesis technique essentially achieved the performance objective of a 50% reduction in the rms acceleration level at the pilot's and other critical vehicle stations.
Abstract: An analytical technique is presented for design of systems to actively control the structural bending modes to improve the ride quality on flexible aircraft. The technique specified a set of requirements for the sensor configuration and filtering for a system which provides corrective control through the conventional aerodynamic control surfaces. Vehicle data are required only in a frequency response format, thus facilitating the inclusion of unsteady aerodynamics. Application of the technique to a large supersonic transport is described. Gust response data on the SST indicated that the lower frequency symmetric structural modes contributed up to 60% of the rms acceleration at the pilot's station. Results of the study showed that a system designed by the synthesis technique essentially achieved the performance objective of a 50% reduction in the rms acceleration level at the pilot's and other critical vehicle stations. This application of the synthesis technique to the SST problem showed it to be an effective design tool.

6 citations


14 Oct 1968
TL;DR: The design of a combined passive and active sonar system in the form of a programmable special purpose computer is feasible with current technology and a Monte Carlo simulation has been developed.
Abstract: : The design of a combined passive and active sonar system in the form of a programmable special purpose computer is feasible with current technology. In fact, the flexibility offered by such a system brings to the foreground an important sonar problem: What algorithms are most effective in accomplishing a given task or mission. Since many of the algorithms are non-linear and may not be directly analyzed in terms of relevant performance parameters, a Monte Carlo simulation has been developed. The essence of the technique is to develop a representative stochastic sequence and carefully observe the algorithm (or algorithms) response under controlled conditions.

1 citations