Guidance Control Algorithm Robustness Baseline Indexing
Author(s)
Steinfeldt, Bradley A.
Braun, Robert D.
Paschall, Stephen C., II
Advisor(s)
Editor(s)
Collections
Supplementary to:
Permanent Link
Abstract
Throughout the design process, guidance and control algorithms are continually assessed to determine their applicability to a given application. Due to this need, an equitable assessment of how various algorithms meet desired objectives is a necessity. Traditionally these comparisons rely on conducting performance assessments of the algorithms that stress the algorithms and then human judgment is used to provide recommendations on which algorithm(s) to carry forward as the design matures. This paper presents a way to develop a baseline robustness index, that is a single value that captures the desired attributes of the algorithm in the presence of uncertainty, which can be used to compare various algorithms. Due to the general formulation of the baseline index value, these indices can be comprised of algorithm complexity metrics, algorithm consistency metrics, and algorithm performance metrics. These indices can also be used to assess the effect of algorithm maturation on a single algorithm. In this paper, the groundwork and underlying theory for the methodology are described for use in both guidance and control algorithms. Additionally, two example uses of the methodology are provided. One demonstrates the parametric nature of the baseline robustness index and the flexibility extended during the conceptual design of a vehicle. The other demonstrates the impact on the baseline robustness index as a propulsive propulsive guidance law is matured from the theoretical foundations to an almost flight mature algorithm that is being developed for the Autonomous Landing and Hazard Avoidance Technology program.
Sponsor
Date
2010-08
Extent
Resource Type
Text
Resource Subtype
Paper
Rights Statement
Unless otherwise noted, all materials are protected under U.S. Copyright Law and all rights are reserved