Accession Number : ADA138309

Title :   Robust Multivariable Controller Design via Implicit Model-Following Methods.

Descriptive Note : Master's thesis,

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

Personal Author(s) : Miller,W G

PDF Url : ADA138309

Report Date : Dec 1983

Pagination or Media Count : 349

Abstract : This study applies the concept of implicit model-following to the design of a multivariable control system based on the Linear system model, Quadratic cost, and Gaussian noise process assumptions of optimal control. The design objective is to achieve improved controller robustness in the face of uncertainties arising from the differences between the simplified linear model used for controller design, and a more realistic truth model representation which includes higher-order dynamics, parameter variations, and nonlinearities. This report introduces the concept of implicit model-following and reviews the formulation of its incorporation into the design of a controller that consists of a Command Generator Tracker employing a Proportional-plus-Integral inner-loop regulator and, if required, a Kalman Filter to provide state estimates for feedback control (CGT/PI/KF controller). The theoretical background for the application of matrix singular value analysis to the study of controller robustness is presented, and a computer program is developed to apply this type of analysis of the general CGT/PI/KF controller configuration. (Author)

Descriptors :   *Control systems, *Multivariate analysis, *Computer programs, Actuators, Closed loop systems, Linear systems, Mathematical models, Gaussian noise, Matrices(Mathematics), Kalman filtering, Optimization, Configurations, Feedback, Regulators, Fighter aircraft, Theses

Subject Categories : Statistics and Probability
      Computer Programming and Software
      Test Facilities, Equipment and Methods

Distribution Statement : APPROVED FOR PUBLIC RELEASE