Evaluation of Verification Approaches Applied to a Nonlinear System Control

Abstract

Exhaustive test of complex and autonomous systems is intractable and cost prohibitive; however, design analysis techniques such as formal methods and design methodologies such as Run Time Assurance (RTA) could provide supplementary certification evidence early in system design. In this research, a 6U CubeSat Attitude Control Subsystem(ACS) is used as a challenge problem to evaluate the application of non-traditional verification methodologies such as formal methods and run time assurance architectures in conjunction with more traditional verification techniques. Thirteen hypothetical requirements are presented and formally defined. Strengths and weaknesses of the verification techniques are exposed in order to recommend capability expansions for further development. In analyzing the application of different formal methods tools, a new approach to verification was created to provide evidence of requirement satisfaction that leverages the capabilities of formal methods in conjunction with traditional verification techniques such as simulation cases, space filling experimental design simulation, and mathematical feasibility analysis.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2016
Accession Number
AD1054163

Entities

People

  • Kerianne H. Gross

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Engineered Resilient Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Angular Momentum
  • Attitude Control Systems
  • Autonomous Systems
  • Complex Systems
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Department Of Defense
  • Measurement
  • Monte Carlo Method
  • Systems Engineering
  • Test And Evaluation
  • United States
  • United States Government
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Space