Applications of Modern Control Theory Synthesis to a Super-Augmented Aircraft

Abstract

The singular value Bode plot of return difference and loop gain matrices have emerged as useful indicators of multivariable robustness. The H infinity and H2 control theories provide a systematic procedure for shaping the singular value loop gains of a multivariable feedback control system. It is shown that H infinity control theory, using specified performance objectives and stability constraints, is effective in synthesizing a stabilizing controller for the statically unstable longitudinal dynamics of the X-29. H infinity control synthesis also demonstrates a good ability to cope with a true multivariable design problem such as the multiple, independently controlled surfaces of a super-maneuverable aircraft. However, it is also shown that the control surface deflections and control rates necessary to effect the specified performance levels exceed the performance capabilities of the X-29's actuators. A work- around to the limited actuator performance is provided by penalizing the control input vector more heavily during the problem formulation. This approach, while reducing the actuator performance requirements, results in a limited-performance X-29. Fly-by-wire control; Sweptforward wings; Multivariable robustness. Theses. (edc)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1989
Accession Number
ADA215431

Entities

People

  • Walter L. Rogers

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aeronautical Engineering
  • Aeronautics
  • Aircrafts
  • Bandwidth
  • Closed Loop Systems
  • Control Surfaces
  • Control Systems
  • Control Systems Engineering
  • Equations
  • Feedback
  • Flaps (Control Surfaces)
  • Frequency
  • Frequency Bands
  • Multiple Input Multiple Output
  • Open Loop Systems
  • Standards
  • Transfer Functions

Fields of Study

  • Physics

Readers

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