A new optimal sliding-mode (OSM) controller is developed for a linear stochastic system and applied to the Middeck Active Control Experiment (MACE), which represents the control structure interaction problem for a precision spacecraft. The OSM controller minimizes the expected value of a quadratic objective function consisting of only states with the constraints that esimated states always remain on the intersection of sliding hyper planes. This controller is designed for two subsets of MACE problems: a single-input, single-output gimbal inertial pointing problem and a three-input, three-output torque wheel attitude control problem. Using numerical simulations, performance of the OSM controller is compared to that of the classical linear quadratic Gaussian controller. The OSM controllers are digitally implemented on the development model of MACE. The experimental results are shown to be in good agreement with theoretical results.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Aerospace Engineering
- Space and Planetary Science
- Electrical and Electronic Engineering
- Applied Mathematics