On Integrated Plant, Control and Guidance Design

Abstract

Two theoretical methods and the development of a guidance, navigation and control rapid protoyping system address the issue of considering the integral participation of feedback early in the design process. The first method addresses the problem of sizing the horizontal tail on a statically unstable transport aircraft. Dynamic constraints including recovery from a severe angle of attack excursion and penetration of a vertical wind shear are formulated in terms of the solution to a convex minimization problem utilizing LMIs and used to size the horizontal control surfaces. The second method addresses the problem of tracking inertial trajectories with applications for unmanned air vehicles. This problem is posed and solved within the framework of gain scheduled control theory leading to a new technique for integrated guidance and control systems with guaranteed performance and robustness properties. Finally, a rapid prototyping system for the flight test of GNC algorithms for unmanned air vehicles is designed that affords a small team the ability to quickly take a new concept in guidance, navigation and control from initial conception to flight test.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA341957

Entities

People

  • Eric N. Hallberg

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Underwater Vehicles
  • Climate Change
  • Closed Loop Systems
  • Computational Science
  • Control Surfaces
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Coordinate Systems
  • Equations Of Motion
  • Horizontal Stabilizers
  • Navigation
  • Three Dimensional
  • Transport Aircraft
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Robotics and Automation.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control