INTELLIGENT MACHINERY CONTROL INTEGRATION

A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shi pboard systems has led to investigations on achieving improvements in affordability and operational effectiveness. One such investigation ha s resulted in the development of the Standard Monitoring and Control S ystem (SMCS), a modular, open architecture control system which includ es the control system components for propulsion, electric plant, auxil iaries, and damage control. The first major technology upgrade to SMCS will entail the insertion of Artificial Intelligence (AI) technologie s into HM&E monitoring and control applications. The Intelligent Machi nery Control Integration Task (IMCI) was established to provide a stru ctural approach for this major technology upgrade. As part of the firs t phase of IMCI, an identification of intelligent control requirements , an assessment of AI technologies, and a survey of intelligent contro l applications were performed. This paper lists those HM&E-related shi pboard operational requirements from which intelligent machinery contr ol requirements will be identified. Also, there is an initial assessme nt of AI-related reasoning and the following AI technologies, knowledg e-based systems, fuzzy logic, neural nets, and genetic algorithms. The survey provided some insight into applying AI technologies to SMCS sh ipboard operational requirements.