Accession Number : ADA190568
Title : Multiple Model Parameter Adaptive Control for In-Flight Simulation.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
Personal Author(s) : Berens, Thomas J
PDF Url : ADA190568
Report Date : Mar 1988
Pagination or Media Count : 88
Abstract : Adaptive control of aircraft model-following systems has shown promising results for in-flight simulation, but the computational expense and slow convergence of conventional parameter estimation techniques for higher order models inhibits their direct use for inflight simulation. Computer simulations of adaptive systems usually assume some knowledge of model parameters in order to maintain tracking fidelity at a reasonable computational cost as parameters change. This thesis incorporates a-priori information into a multiple-model estimation algorithm which assigns a probability weighting of each estimator within a bank of estimators. Final parameter estimates used in adaptive control are formed as a probabalistic weighted sum of individual estimates. Simulations of the system show excellent tracking performance throughout the flight envelope. A moving bank scheme for use over a wide range of flight conditions is recommended as a further area of study.
Descriptors : *ADAPTIVE CONTROL SYSTEMS, *ESTIMATES, *FLIGHT CONTROL SYSTEMS, *FLIGHT SIMULATION, ADAPTIVE SYSTEMS, COMPUTATIONS, COMPUTERIZED SIMULATION, CONVERGENCE, COSTS, FLIGHT ENVELOPE, INFLIGHT, MATHEMATICAL MODELS, PROBABILITY, RANGE(EXTREMES), THESES, TRACKING, WEIGHTING FUNCTIONS, ALGORITHMS, PARAMETRIC ANALYSIS
Subject Categories : Flight Control and Instrumentation
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE