Multiple Model Adaptive Control of the Vista F-16.

Abstract

Multiple model adaptive control (MMAC) is investigated using the high-fidelity, nonlinear, six-degree-of-freedom Simulation Rapid-Prototyping Facility VISTA F-16. Detection of single actuator and sensor failures is considered, with an MMAC algorithm initially pursued which allows a controller specifically designed for each particular failure condition to replace the standard F-16 Block 40 flight control system (FCS) once the failure is detected. The synthesis of certain discrete-time LQG/PI controllers (those using control variables linearly dependent on state derivatives) is shown to be unattainable due to numerical difficulties. A novel control technique, termed control redistribution, is introduced which redistributes control commands (that would normally be sent to failed actuators) to the non-failed actuators, accomplishing the same control action on the aircraft. Multiple model adaptive estimation-based control redistribution is demonstrated to detect single failures in less than one second and to provide a response nearly identical to that anticipated from a fully functional aircraft in the same environment. Moreover, this method directly employs the proven Block 40 FCS, and no other, thereby guaranteeing desirable closed loop performance. A description of modifications necessary for in-flight testing is also provided. This research represents the most realistic simulation of multiple model adaptive control for flight control to date.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA309938

Entities

People

  • Michael J. Stepaniak

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Actuators
  • Aircrafts
  • Algorithms
  • Control Systems
  • Detection
  • Detectors
  • Environment
  • Flight Control Systems
  • Flight Testing
  • Product Prototyping
  • Reliability
  • Simulations
  • Software Prototyping
  • Standards

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.