摘要：AbstractBy optimizing a given cost function repeatedly at every iterative loop, model predictive control (MPC), also known as receding horizon control (RHC), is capable to cope with a wide range of control problems and is a promising method to be adapted to spacecraft attitude control. This paper mainly introduces an inverse dynamics based MPC (IDMPC) with dedicated parameterization of attitude interpolation, and a simple time near-optimal scheme of MPC is adopted to realize rapid attitude maneuver. While conventional MPC discretizes the dynamics model and predicts the states with control torques to be optimized, IDMPC, instead, approximates the state trajectories via interpolating among control points. Case study shows the effectiveness of this method.
关键词：KeywordsInverse DynamicsPredictive ControlAttitude ControlTime-optimal Control
