Date of Award
Doctor of Philosophy (PhD)
Dr. W.F.S. Poehlman
This thesis discusses a design methodology that can be employed as a framework for the design of computer-centered performance enhancement systems for technology insertion into non-computerized human-machine systems. This methodology seeks to hybridize and explout the benefits of several diverse areas of electrical and computer engineering, specifically knowledge-based reasoning, fuzzy logic-based control, real-time system design, human-machine interaction, computer-human interface, and software engineering. The methodology for combining these disciplines is used in the realization of a specific application: The Particle Accelerator Control Expert System (PACES), an artificial intelligence-based performance enhancement and control system for a KN-3000 Van de Graaff particle accelerator. PACES combines knowledge-based reasoning and human factors concept to furnish accelerator operators with a computer-centered operations support facility. Knowledge-based reasoning is coupled with real-time systems concepts to provide the capability for autonomous accelerator control. Technology insertion, human-machine interaction and human-computer interface concepts are used to design a simple, safe, flexible and low-cost operations support system that is accepted by both veteran and novice operators alike.
Lind, Peter Christian, "Application of Technology Insertion to Particle Accelerator Modernization and Operations Support" (1997). Open Access Dissertations and Theses. Paper 1149.