Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dean W. Sparks"'
Publikováno v:
Journal of Guidance, Control, and Dynamics. 21:500-507
New synthesis techniques for the design of fault accommodating controllers for flexible systems are developed. Three robust control design strategies, static dissipative, dynamic dissipative and mu-synthesis, are used in the approach. The approach pr
Publikováno v:
Journal of Guidance, Control, and Dynamics. 17:1333-1338
Embedded piezoelectric devices may be ideally suited for vibration control of space structures, which lack an inertial ground. When subjected to an input voltage, an embedded piezoelectric actuator changes its dimensions, which in turn generates a pa
Autor:
Dean W. Sparks, Jer-Nan Juang
Publikováno v:
Journal of Guidance, Control, and Dynamics. 15:801-816
This paper presents a survey of ground experiments primarily conducted in the United States and U.S. facilities dedicated to the study of active control of flexible structures. The facilities are briefly described in terms of capability, configuratio
Autor:
Deborah S. Merritt, Ryan W. Proud, Vanessa V. Aubuchon, Ronald C. Busan, Sungwan Kim, John B. Davidson, David L. Raney, Dean W. Sparks
Publikováno v:
AIAA Guidance, Navigation and Control Conference and Exhibit.
Aborts during the critical ascent flight phase require the design and operation of Orion Crew Exploration Vehicle (CEV) systems to escape from the Crew Launch Vehicle (CLV) and return the crew safely to the Earth. To accomplish this requirement of co
Autor:
Dean W. Sparks, Peiman G. Maghami
Publikováno v:
39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit.
A novel procedure for the design and training of artificial neural networks, used for rapid and efficient controls and dynamics design and analysis for flexible space systems, has been developed. Artificial neural networks are employed to provide a m
Autor:
Peiman G. Maghami, Dean W. Sparks
Publikováno v:
39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit.
Artificial neural networks have been employed for rapid and efficient dynamics and control analysis of flexible systems. Specifically, feedforward neural networks are designed to approximate nonlinear dynamic components over prescribed input ranges,
Publikováno v:
36th Structures, Structural Dynamics and Materials Conference.
The remote sensing of the Earth's features from space requires precision pointing of scientific instruments. To this end, the NASA Langley Research Center has been involved in developing numerous controlled structures technologies. This paper describ
Publikováno v:
Astrodynamics Conference.
Publikováno v:
Guidance, Navigation and Control Conference.
This paper presents a survey of U.S. ground experiments and facilities dedicated to the study of active control of flexible structures. The facilities will be briefly described in terms of capability, configuration, size and instrumentation. Topics o
Conference
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