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CELSS system control: issues, methods, and directions.

C C Blackwell1, A L Blackwell

  • 1Department of Mechanical Engineering, The University of Texas at Arlington.

Advances in Space Research : the Official Journal of the Committee on Space Research (COSPAR)
|January 1, 1992
PubMed
Summary
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Controlling complex Closed Ecological Life Support Systems (CELSS) presents significant challenges, including inherent instability and modeling difficulties. This study outlines strategies to manage these control system complexities for reliable life support.

Area of Science:

  • * Control engineering
  • * Aerospace systems engineering
  • * Life support systems

Background:

  • * The Controlled Ecological Life Support System (CELSS) concept involves highly complex, interconnected subsystems.
  • * Significant control challenges arise from inherent system instability, inadequate mathematical modeling, and the need for robust control laws.
  • * Hardware realization, fault tolerance, and automation logistics further complicate CELSS control.

Purpose of the Study:

  • * To organize and evaluate the control challenges inherent in CELSS.
  • * To review existing methods for addressing these control issues.
  • * To propose a strategic approach for managing CELSS control problems.

Main Methods:

  • * Analysis of control system complexities in CELSS.
Keywords:
NASA Center ARCNASA Discipline Life Support SystemsNASA Discipline Number 61-10NASA Program CELSS

Related Experiment Videos

  • * Review of mathematical modeling and control law synthesis techniques.
  • * Evaluation of hardware and automation challenges.
  • * Development of a strategic framework for CELSS control.

    • Main Results:

    • * Identification of six key challenge areas in CELSS control: instability, modeling, robustness, hardware realization, fault tolerance, and automation logistics.
    • * Assessment of the interdependencies and severity of these challenges.
    • * A structured overview of potential solutions and methodologies.

    Conclusions:

    • * Effective control of CELSS requires a systematic approach addressing modeling, robustness, hardware, and automation.
    • * Developing robust and fault-tolerant control laws is critical for mission success.
    • * A comprehensive strategy is needed to overcome the multifaceted control challenges in advanced life support systems.