A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented through a combination of two control techniques. The basic control scheme is developed using a Modified State-Dependent Riccati Equation MSDRE based on a pseudo-linear formulation of spacecraft augmented dynamics and kinematics. A neuro-fuzzy controller is designed using an Adaptive Neuro-Fuzzy Inference System ANFIS utilizing the off-line solutions of the MSDRE. The combined control scheme is applied according to large time intervals of the MSDRE solutions to obtain the optimal control torques while along each time interval the ANFIS controller provides the required control signal. The global asymptotic stability of the MSDRE and MSDRE/ANFIS is investigated using Lyapunov theorem. The results show a considerable amount of reduction in the computational burden while the tracking accuracy is dependent on the size of the time interval to update the ANFIS controller.
|Title of host publication||Spaceflight Mechanics 2010 - Advances in the Astronautical Sciences|
|Subtitle of host publication||Proceedings of the AAS/AIAA Space Flight Mechanics Meeting|
|Number of pages||20|
|Publication status||Published - 2010|
|Event||AAS/AIAA Space Flight Mechanics Meeting - San Diego, CA, United States|
Duration: 2010 Feb 14 → 2010 Feb 17
|Name||Advances in the Astronautical Sciences|
|Other||AAS/AIAA Space Flight Mechanics Meeting|
|City||San Diego, CA|
|Period||10/2/14 → 10/2/17|
Bibliographical noteFunding Information:
This work is supported by the Korean Science and Engineering Foundation (KOSEF) through the National Research Laboratory Program funded by the Ministry of Science and Technology (No. M10600000282-06j0000-28210 ).
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Space and Planetary Science