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  • 1
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    Terminology and concepts of control and Fuzzy Logic (1990)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: Viewgraphs on terminology and concepts of control and fuzzy logic are presented. Topics covered include: control systems; issues in the design of a control system; state space control for inverted pendulum; proportional-integral-derivative (PID) controller; fuzzy controller; and fuzzy rule processing.
    Keywords: THEORETICAL MATHEMATICS
    Type: McDonnell-Douglas Space Systems Co., Workshop on Fuzzy Control Systems and Space Station Applications 79-98 (SEE N93-31439 12-18); McDonnell-Douglas Sp
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  • 2
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    Fuzzy efficiency optimization of AC induction motors (1993)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: This paper describes the early states of work to implement a fuzzy logic controller to optimize the efficiency of AC induction motor/adjustable speed drive (ASD) systems running at less than optimal speed and torque conditions. In this paper, the process by which the membership functions of the controller were tuned is discussed and a controller which operates on frequency as well as voltage is proposed. The membership functions for this dual-variable controller are sketched. Additional topics include an approach for fuzzy logic to motor current control which can be used with vector-controlled drives. Incorporation of a fuzzy controller as an application-specific integrated circuit (ASIC) microchip is planned.
    Keywords: CYBERNETICS
    Type: NASA. Johnson Space Center, Proceedings of the Third International Workshop on Neural Networks and Fuzzy Logic, Volume 1; p 76-92
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  • 3
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    Space time neural networks for tether operations in space (1993)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: A space shuttle flight scheduled for 1992 will attempt to prove the feasibility of operating tethered payloads in earth orbit. due to the interaction between the Earth's magnetic field and current pulsing through the tether, the tethered system may exhibit a circular transverse oscillation referred to as the 'skiprope' phenomenon. Effective damping of skiprope motion depends on rapid and accurate detection of skiprope magnitude and phase. Because of non-linear dynamic coupling, the satellite attitude behavior has characteristic oscillations during the skiprope motion. Since the satellite attitude motion has many other perturbations, the relationship between the skiprope parameters and attitude time history is very involved and non-linear. We propose a Space-Time Neural Network implementation for filtering satellite rate gyro data to rapidly detect and predict skiprope magnitude and phase. Training and testing of the skiprope detection system will be performed using a validated Orbital Operations Simulator and Space-Time Neural Network software developed in the Software Technology Branch at NASA's Lyndon B. Johnson Space Center.
    Keywords: CYBERNETICS
    Type: Proceedings of the Third International Workshop on Neural Networks and Fuzzy Logic, Volume 1; p 127-168
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  • 4
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    Fuzzy logic applications to expert systems and control (1991)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: A considerable amount of work on the development of fuzzy logic algorithms and application to space related control problems has been done at the Johnson Space Center (JSC) over the past few years. Particularly, guidance control systems for space vehicles during proximity operations, learning systems utilizing neural networks, control of data processing during rendezvous navigation, collision avoidance algorithms, camera tracking controllers, and tether controllers have been developed utilizing fuzzy logic technology. Several other areas in which fuzzy sets and related concepts are being considered at JSC are diagnostic systems, control of robot arms, pattern recognition, and image processing. It has become evident, based on the commercial applications of fuzzy technology in Japan and China during the last few years, that this technology should be exploited by the government as well as private industry for energy savings.
    Keywords: CYBERNETICS
    Type: NASA, Washington, Technology 2001: The Second National Technology Transfer Conference and Exposition, Volume 2; p 159-168
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  • 5
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    Fuzzy logic control for camera tracking system (1992)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: A concept utilizing fuzzy theory has been developed for a camera tracking system to provide support for proximity operations and traffic management around the Space Station Freedom. Fuzzy sets and fuzzy logic based reasoning are used in a control system which utilizes images from a camera and generates required pan and tilt commands to track and maintain a moving target in the camera's field of view. This control system can be implemented on a fuzzy chip to provide an intelligent sensor for autonomous operations. Capabilities of the control system can be expanded to include approach, handover to other sensors, caution and warning messages.
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: Fifth Annual Workshop on Space Operations Applications and Research (SOAR 1991), Volume 1; p 94-99
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  • 6
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    Fuzzy logic in autonomous orbital operations (1991)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: Fuzzy logic can be used advantageously in autonomous orbital operations that require the capability of handling imprecise measurements from sensors. Several applications are underway to investigate fuzzy logic approaches and develop guidance and control algorithms for autonomous orbital operations. Translational as well as rotational control of a spacecraft have been demonstrated using space shuttle simulations. An approach to a camera tracking system has been developed to support proximity operations and traffic management around the Space Station Freedom. Pattern recognition and object identification algorithms currently under development will become part of this camera system at an appropriate level in the future. A concept to control environment and life support systems for large Lunar based crew quarters is also under development. Investigations in the area of reinforcement learning, utilizing neural networks, combined with a fuzzy logic controller, are planned as a joint project with the Ames Research Center.
    Keywords: CYBERNETICS
    Type: Proceedings of the Second Joint Technology Workshop on Neural Networks and Fuzzy Logic, Volume 2; p 81-110
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  • 7
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    Applications of fuzzy logic to control and decision making (1991)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: 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.
    Keywords: COMPUTER PROGRAMMING AND SOFTWARE
    Type: NASA, Washington, Technology 2000, Volume 2; p 67-75
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  • 8
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    Learning characteristics of a space-time neural network as a tether skiprope observer (1992)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: The Software Technology Laboratory at JSC is testing a Space Time Neural Network (STNN) for observing tether oscillations present during retrieval of a tethered satellite. Proper identification of tether oscillations, known as 'skiprope' motion, is vital to safe retrieval of the tethered satellite. Our studies indicate that STNN has certain learning characteristics that must be understood properly to utilize this type of neural network for the tethered satellite problem. We present our findings on the learning characteristics including a learning rate versus momentum performance table.
    Keywords: CYBERNETICS
    Type: North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 1; p 154-165
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  • 9
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    Learning characteristics of a space-time neural network as a tether skiprope observer (1993)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: The Software Technology Laboratory at the Johnson Space Center is testing a Space Time Neural Network (STNN) for observing tether oscillations present during retrieval of a tethered satellite. Proper identification of tether oscillations, known as 'skiprope' motion, is vital to safe retrieval of the tethered satellite. Our studies indicate that STNN has certain learning characteristics that must be understood properly to utilize this type of neural network for the tethered satellite problem. We present our findings on the learning characteristics including a learning rate versus momentum performance table.
    Keywords: SPACECRAFT DESIGN, TESTING AND PERFORMANCE
    Type: NASA, Washington, Technology 2002: The Third National Technology Transfer Conference and Exposition, Volume 2; p 262-273
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  • 10
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    Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations (1992)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: As part of the Research Institute for Computing and Information Systems (RICIS) activity, the reinforcement learning techniques developed at Ames Research Center are being applied to proximity and docking operations using the Shuttle and Solar Max satellite simulation. This activity is carried out in the software technology laboratory utilizing the Orbital Operations Simulator (OOS). This interim report provides the status of the project and outlines the future plans.
    Keywords: COMPUTER SYSTEMS
    Type: NASA-CR-190504 , NAS 1.26:190504
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