
Intelligent Control of a Water‐Recovery System: Three Years in the Trenches
Author(s) -
Bonasso Pete,
Kortenkamp David,
Thronesbery Carroll
Publication year - 2003
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v24i1.1685
Subject(s) - control (management) , architecture , life support system , engineering , intelligent control , control system , software , systems engineering , engineering management , computer science , aeronautics , artificial intelligence , operating system , geography , electrical engineering , archaeology , aerospace engineering
This article discusses our experience building and running an intelligent control system during a three‐year period for a National Aeronautics and Space Administration advanced life support (ALS) system. The system under test was known as the Integrated Water‐Recovery System ( i WRS). We used the 3 t intelligent control architecture to produce software that operated autonomously, 24 hours a day 7 days a week, for 16 months. The article details our development approach, the successes and failures of the system, and our lessons learned. We conclude with a summary of spin‐off benefits to the AI community and areas of AI research that can be useful for future ALS systems.