Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8058583 | Aerospace Science and Technology | 2016 | 11 Pages |
Abstract
An attitude tracking controller is developed for control moment gyroscope (CMG)-actuated satellites, which is shown to achieve accurate attitude tracking in the presence of unmodeled external disturbance torques, parametric uncertainty, and nonlinear CMG disturbances. Since the disturbances/uncertainties do not all satisfy the typical linear-in-the-parameters (LP) assumption, a neural network (NN) is included in the control development. The innovation of the result is the development of a Lyapunov-based design/analysis that indicates exponential convergence to an arbitrarily small domain. The result is obtained despite the characteristics of the uncertainty; the nonvanishing disturbance terms; and the fact that the control input is premultiplied by a non-square, time-varying, nonlinear, uncertain matrix. In addition to the Lyapunov-based analysis, experimental results demonstrate the performance of the developed controller.
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Authors
W. MacKunis, F. Leve, P.M. Patre, N. Fitz-Coy, W.E. Dixon,