With the advent of high energy pulse mission loads and distributed power and energy on all-electric ship platforms, a new total ship control system capability is emerging that could significantly impact overall mission success. No longer are loads limited to an all-or-nothing power per use approach. Rather, energy applied to advanced mission loads can be scaled - even regulated - to achieve a desired outcome. Within this new framework, the effectiveness of unique missions can be quantified as a function of the amount and allocation of power to service each mission load. Power elasticity enables a new frontier of how decisions are made during intense operational scenarios where limited power and energy resources are applied to competing load demands. Herein, a power allocation strategy that addresses this challenge is proposed. The general approach is to use state-space models to represent the evolution of both the mission and the engineering system that is supporting the mission. An optimal control problem is performed to maximize some functional over the mission state and actions. By doing so, it indicates the capability of the engineering system to support such missions. The uniqueness of this approach is that solutions become far more mission specific. Results based on a simple two-function platform - each competing for the same limited power resources - show that this approach can be used to assess the probability of success given a certain initial allocation of power.
|Title of host publication||2019 IEEE Electric Ship Technologies Symposium, ESTS 2019|
|Number of pages||6|
|State||Published - Aug 2019|
|Event||2019 IEEE Electric Ship Technologies Symposium, ESTS 2019 - Washington, United States|
Duration: Aug 14 2019 → Aug 16 2019
|Name||2019 IEEE Electric Ship Technologies Symposium, ESTS 2019|
|Conference||2019 IEEE Electric Ship Technologies Symposium, ESTS 2019|
|Period||8/14/19 → 8/16/19|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This work was supported by the Office of Naval Research (ONR) through the ONR Young Investigator Program N00014-15-1-2475.
© 2019 IEEE.
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Automotive Engineering