ABSTRACT

This chapter represents a step toward a multisensor data fusion method for the development of monitoring and automation systems. It provides background on regenerative life support systems (RLSS). RLSSs are meant to be autonomous and to help maximize crew time dedicated to mission objectives. The International Space Station (ISS) is the primary space-based environmental control and life support system (ECLSS) research platform. Its three key components are the Water Recovery System (WRS), the Oxygen Generating System (OGS), and the Carbon Dioxide Reduction Assembly (CRA). RLSSs offer various options to recycle metabolic byproducts, such as urine, and to achieve an incremental closure of gaseous and liquid material cycles. The chapter describes the use of agents based on fuzzy associative memory (FAM) to develop granular structures composed of n-dimensional noninteractive fuzzy sets, used to define operating conditions and the control law that governs an action in each situation.