Robust Command Augmentation System Design Using Genetic Methods

Abstract

This paper describes the use of a genetic search method in the design of a command augmentation system for a high-performance aircraft. A genetic algorithm is used in the design of H(infinity) controllers for the longitudinal and lateral-directional channels by selecting the weighting functions. The integral of absolute value of error between the actual response and that of an ideal model is used as the fitness criterion, along with additional terms to penalize for cross-coupling between Ps and ny; non-minimum phase behavior, and the closed-loop infinity-norm bound, gamma. Starting from an initial population of weighting functions, the algorithm generates new functions with the goal of improving the fitness. These controllers are then evaluated in a 6 degree-of-freedom nonlinear model of the aircraft.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA350849

Entities

People

  • G. D. Sweriduk
  • M. L. Stienberg
  • P. K. Menon

Organizations

  • Naval Air Warfare Center

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircrafts
  • Algorithms
  • Closed Loop Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Flight Control Systems
  • Frequency
  • Genetic Algorithms
  • Optimization
  • Real Numbers
  • Simulations
  • United States
  • Weighting Functions

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology