Accession Number : ADA189715
Title : Model Selection for the Multiple Model Adaptive Algorithm for In-Flight Simulation.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH
Personal Author(s) : Mathes, James R , Jr
PDF Url : ADA189715
Report Date : Dec 1987
Pagination or Media Count : 241
Abstract : This thesis extends the research accomplished by Capt Pineiro and Lt Berens in the area of adaptive algorithm implementation. Specifically, this thesis explores the performance characteristics of the multiple model estimation algorithm and how they influence the selection of aircraft models to allow the parameter adaptive control system to maintain tracking performance over a portion of the flight envelope. The aircraft dynamic equations used are those of the AFTI/F-16 and the control law design is based on the method developed by Professor Porter. After selecting a set of aircraft models that results in the best overall system response, the effect of adjusting the control law gains on the performance of the multiple model estimation algorithm is evaluated. By assuming that all states are accessible, sensor noise is then added to each of the longitudinal states to study how noise impacts model selection. A set of models that produces acceptable tracking performance over the desired flight envelope and the most immunity to sensor noise is then selected.
Descriptors : *ADAPTIVE CONTROL SYSTEMS, *AIRCRAFT MODELS, *FLIGHT ENVELOPE, AIRCRAFT, ALGORITHMS, CONTROL THEORY, DETECTORS, DYNAMICS, ESTIMATES, FLIGHT SIMULATION, IMMUNITY, INFLIGHT, NOISE, SELECTION, TRACKING, JET FIGHTERS, THESES
Subject Categories : Aerodynamics
Distribution Statement : APPROVED FOR PUBLIC RELEASE