Spacecraft attitude control using neuro-fuzzy approximation of the optimal controllers

作者：Kim Sung Woo; Park Sang Young^*; Park Chandeok

来源：Advances in Space Research, 2016, 57(1): 137-152.

DOI：10.1016/j.asr.2015.09.016

• Spacecraft attitude control
• Neuro-fuzzy network
• State-dependent Riccati equation
• Approximated optimal feedback controller

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.

• 出版日期2016-1-1