کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1763942 | 1020031 | 2016 | 16 صفحه PDF | دانلود رایگان |
• A neuro-fuzzy controller was developed for spacecraft attitude control.
• The controller approximates the State-Dependent Riccati Equation controller.
• An optimal feedback controller can be designed through the approximation.
• The controller also mitigates the large computational load.
• The stability and the performance of the controller are analyzed.
In this study, a neuro-fuzzy controller (NFC) was developed for spacecraft attitude control to mitigate large computational load of the state-dependent Riccati equation (SDRE) controller. The NFC was developed by training a neuro-fuzzy network to approximate the SDRE controller. The stability of the NFC was numerically verified using a Lyapunov-based method, and the performance of the controller was analyzed in terms of approximation ability, steady-state error, cost, and execution time. The simulations and test results indicate that the developed NFC efficiently approximates the SDRE controller, with asymptotic stability in a bounded region of angular velocity encompassing the operational range of rapid-attitude maneuvers. In addition, it was shown that an approximated optimal feedback controller can be designed successfully through neuro-fuzzy approximation of the optimal open-loop controller.
Journal: Advances in Space Research - Volume 57, Issue 1, 1 January 2016, Pages 137–152