Rapid Identification of Parameters for Optimal Store Ejection

ABSTRACT: The overall objective of this effort is to develop the system architecture and embedded algorithms for intelligent store launch capability in the next generation of smart bomb racks. Barron Associates is teaming with Nielsen Engineering (NEAR) to investigate options for dynamically determining store launch release parameters. The off-line method will utilize NEAR"s STRLNCH application to build a look-up table as a function of a number of relevant parameters which will be queried on-line to derive the correct settings. The on-line method will solve for the optimal solution on-line, using as its simulation engine a modified version of STRLNCH. The hybrid method will combine the two approaches. The optimal release parameters are a function of the flight conditions, as well as the store properties, bomb rack location and the aircraft. The off-line approach will be implemented and tested for execution time, to insure robustness and to verify that the correct release parameters are determined. An investigation will be made of appropriate cost functions to insure aircraft safety and maximize mission success probability. In addition, the system architecture requirements to support the proposed solution will be examined, with a focus on the interfaces between the aircraft, the bomb rack and the store. BENEFIT: Software algorithms and the necessary supporting architecture are being developed here to allow online modification of the pitch angle and ejection forces for releasing a store from an aircraft. This technology will have benefits for a broad selection of store launch applications, from munitions delivery to flare release. The algorithms will be designed and tested with multiple airframe/store combinations including fighters, bombers, helicopters and UAV"s. As such, the technology will be a benefit to all the major branches of the military.. The architecture is applicable to a large range of stores/munitions and bomb-racks, opening up the potential applications of the technology to include release of store countermeasures, supply pod release, as well as munitions delivery. For example, the proposed technology can enhance Countermeasures Dispenser Systems such as the AN/ALE-47, which already uses threat information from the aircraft to determine a flare dispersion pattern. Another potential market for the technology is UAV/UAS delivered stores. The success of using UAVs for missions such as troop resupply in a combat zone, depends critically on autonomous, on-board store-release operation. Greater flexibility for this sort of mission would be provided by allowing the store launch settings to be adjustable during the mission.