A Modern Control Design Methodology with Application to the CH-47 Helicopter.

Abstract

A control system design methodology is developed in this dissertation which produces robust, low-order optimal controllers for multiple-input multiple-output systems. The methodology attempts to focus the strengths of recent 'Modern Control' design algorithms on the problems associated with real control system designs. The methodology is a set of procedures which aids the engineer in creating a realizable controller in either digital or analog form. To demonstrate the usefulness of the methodology, two control augmentation systems (CAS) were designed and flight tested on a CH-47 helicopter at NASA Ames Research Center. The first design was a longitudinal cruise CAS giving the pilot decoupled control of forward velocity and climb rate. This design task demonstrated the low-order controller and robustness features of the methodology. It also demonstrated the use of modern control techniques in designing integral-error controllers. Flight test results are presented. The second controller is a translational velocity command/precision hover hold system. This two mode controller demonstrates the methodology as applied to a more complicated design task which includes control law switching and inner loop/outer loop considerations. Flight test results are also presented. Originator-supplied keywords include: Thesis.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA151946

Entities

People

  • R. D. Holdridge

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Closed Loop Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Coordinate Systems
  • Flight Control Systems
  • Helicopters
  • Inertial Navigation
  • Inertial Navigation Systems
  • Measurement
  • Multiple Input Multiple Output
  • Plastic Explosives
  • Radar Altimeters

Readers

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