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タイトルRealizable optimal control for a remotely piloted research vehicle
本文(外部サイト)http://hdl.handle.net/2060/19800016546
著者(英)Dunn, H. J.
著者所属(英)NASA Langley Research Center
発行日1980-05-01
言語eng
内容記述The design of a control system using the linear-quadratic regulator (LQR) control law theory for time invariant systems in conjunction with an incremental gradient procedure is presented. The incremental gradient technique reduces the full-state feedback controller design, generated by the LQR algorithm, to a realizable design. With a realizable controller, the feedback gains are based only on the available system outputs instead of being based on the full-state outputs. The design is for a remotely piloted research vehicle (RPRV) stability augmentation system. The design includes methods for accounting for noisy measurements, discrete controls with zero-order-hold outputs, and computational delay errors. Results from simulation studies of the response of the RPRV to a step in the elevator and frequency analysis techniques are included to illustrate these abnormalities and their influence on the controller design.
NASA分類CYBERNETICS
レポートNO80N25039
L-13403
NASA-TP-1654
権利No Copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/172391


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