Title page for ETD etd-72597-104926


Type of Document Dissertation
Author Moon, Myung Soo
Author's Email Address msmoon@ee.vt.edu
URN etd-72597-104926
Title Rule-Based Approaches for Controlling on Mode Dynamic Systems
Degree PhD
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Baumann, William T.
Bay, John S.
Hendricks, Scott L.
Ramu, Krishnan
VanLandingham, Hugh F. Committee Chair
Keywords
  • Rule-Based System
  • Fuzzy Logic
  • Time-Optimal Control
  • Crane Control
Date of Defense 1997-07-24
Availability unrestricted
Abstract
This dissertation presents new fuzzy logic techniques for designing control systems for a wide class of complex systems. The methods are developed in detail for a crane system which contains one rigid-body and one oscillation mode. The crane problem is to transfer the rigid body a given distance such that the pendulation of the oscillation mode is regulated at the final time using a single control input. The investigations include in-depth studies of the time-optimal crane control problem as an integral part of the work. The main contributions of this study are:

(1) Development of rule-based systems (both fuzzy and crisp) for the design of optimal controllers. This development involves control variable parametrization, rule derivation with parameter perturbation methods, and the design of rule based controllers, which can be combined with model-based feedback control methods.

(2) A thorough investigation and analysis of the solutions for time-optimal control problems of oscillation mode systems, with particular emphasis on the use of phase-plane interpretation.

(3) Development of fuzzy logic control system methodology using expert rules obtained through energy reducing considerations. In addition, dual mode control is a "spin-off" design method which, although no longer time optimal, can be viewed as a near-optimal control method which may be easier to implement. In both types of design optimization of the fuzzy logic controller can be used to improve performance.

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