METHODS TO DETERMINE THE PROBABILITY DENSITY FUNCTION OF A PERFORMANCE INDEX OF FLIGHT CONTROL SYSTEMS CONTAINING RANDOM VARIABLE PARAMETERS.

Abstract

The performance aspects of flight control systems which are normally calculated by assuming the nominal values of the system's parameters do not give the true indication of the performance of the system because the system parameters are actually random variables. In this report, linear flight control systems containing random variables as parameters are considered and the concept of specifying the density of a scalar performance index is investigated. Methods for calculating this density function are presented using an analytical approach, digital computer simulation, and analog computer simulation. The flight control system examples selected are a single axis, attitude controller for satellites and a T-39 aircraft combined with a pilot model to simulate approach and landing maneuvers. The digital and analog computer methods provide good initial estimates of the scalar performance index's characteristics. Specifically, for the single axis attitude controller, the mean and variance values of the scalar performance index were estimated within 10% of the theoretical values using these methods. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1968
Accession Number
AD0835463

Entities

People

  • Orlando C. Severo Jr

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Analog Computers
  • Computer Simulations
  • Computers
  • Control Systems
  • Digital Computers
  • Flight Control Systems
  • Probability
  • Probability Density Functions
  • Random Variables
  • Simulations

Fields of Study

  • Physics

Readers

  • Regression Analysis.
  • Robotics and Automation.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers