Long range space missions will require high operational efficiency as well as autonomy to enhance the effectivity of performance. Fuzzy logic technology has been shown to be powerful and robust in interpreting imprecise measurements and generating appropriate control decisions for many space operations. Several applications are underway, studying the fuzzy logic approach to solving control and decision making problems. Fuzzy logic algorithms for relative motion and attitude control have been developed and demonstrated for proximity operations. Based on this experience, motion control algorithms that include obstacle avoidance were developed for a Mars Rover prototype for maneuvering during the sample collection process. A concept of an intelligent sensor system that can identify objects and track them continuously and learn from its environment is under development to support traffic management and proximity operations around the Space Station Freedom. For safe and reliable operation of Lunar/Mars based crew quarters, high speed controllers with ability to combine imprecise measurements from several sensors is required. A fuzzy logic approach that uses high speed fuzzy hardware chips is being studied.


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    Title :

    Applications of Fuzzy Logic to Control and Decision Making


    Contributors:
    R. N. Lea (author) / Y. Jani (author)

    Publication date :

    1991


    Size :

    9 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Applications of fuzzy logic to control and decision making

    Lea, Robert N. / Jani, Yashvant | NTRS | 1991





    Fuzzy Logic Approaches to Multi-Objective Decision-Making in Aerospace Applications

    Hardy, T. L. / American Institute of Aeronautics and Astronautics / Society of Automotive Engineers et al. | British Library Conference Proceedings | 1994