An intelligent control method for servicing spacecraft approach maneuvers under complex constraints
Abstract
The rapid and safe approach maneuver of on-orbit servicing spacecraft to space targets is critical for subsequent on-orbit service operations. However, the uncertainties of the space environment and the complex constraints increase the difficulty of approach control. Traditional control methods struggle to address such nonlinear control problems with multiple constraints and uncertainties. This paper proposes an adaptive intelligent control method for spacecraft approach under complex constraints. A cost function is established for the multi-constraint states and control of the servicing spacecraft. Additionally, a differential form of the approach control law based on the derivative of the control quantity is designed, enhancing the controller's capability to handle complex nonlinear systems and expanding the information space of the intelligent control system. In the adaptive control of the servicing spacecraft, an evaluation network and an execution network are constructed to approximate the cost function and control strategy in optimal control. Exploration signals are introduced during training to enhance the adaptability and anti-interference ability of the control system, ultimately achieving approximate optimal control of the on-orbit servicing spacecraft approach maneuver without relying on a model.
