Application of Technology Insertion to Particle Accelerator Modernization and Operations Support

Abstract

<p>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.</p>