Accession Number:

ADA256444

Title:

Multiple Model Adaptive Estimation Applied to the ViSTA F-16 with Actuator and Sensor Failures

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1992-06-01

Pagination or Media Count:

221.0

Abstract:

A Multiple Model Adaptive Estimation MMAE algorithm is applied to the Variable Stability In-flight Simulator Test Aircraft VISTA F-16 at a low dynamic pressure flight condition 0.4 Mach at 20000 ft. A complete F-16 flight control system is modeled containing the longitudinal and lateral-directional axes. Single and dual actuator and sensor failures are simulated including complete actuator failures, partial actuator failures, complete sensor failures, increased sensor noise, sensor biases, dual complete actuator failures, dual complete sensor failures, and combinations of actuator and sensor failures. Failure scenarios are examined in both maneuvering and straight and level flight conditions. Single scalar residual monitoring techniques are evaluated with suggestions for improved performance. A hierarchical moving bank structure is utilized for multiple failure scenarios. Simultaneous dual failures are included within the study. White Gaussian noise is included to simulate the effects of atmospheric disturbances, and white Gaussian noise is added to the measurements to simulate the effects of sensor noise. Kalman Filtering, Multiple Model Adaptive Estimation, MMAE, Failure detection and isolation, Bayesian, MMAC, multiple Model Adaptive Control.

Subject Categories:

  • Attack and Fighter Aircraft
  • Flight Control and Instrumentation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE