Observability Optimization for Sequential-image Autonomous Navigation System
To address the problem of under-observation space target sequence-image autonomous navigation systems,the role of image sequences in optimizing system performance is illustrated and an observability optimization method based on multi-step orbital maneuvers is designed.The method takes the quantitative indicator of system observability and the energy consumption of maneuvering as the objective function,converts the energy consumption target into an inequality constraint through the constraint method,and then transforms the multi-objective optimization problem into a single-objective optimization problem by considering the relative motion position range as a constraint condition.The interior-point method is used to obtain the optimal orbital maneuver strategy for the service satellite that maximizes observability,and analyzes the influence of the energy constraint on the optimization results,i.e.,the observability will improve as the energy upper limit increases within a certain range,but will reach the optimal level and no longer improve when it exceeds a certain range.The simulation results show that the method can effectively improve observation capability,and has a significant advantage in navigation accuracy and optimization efficiency compared with existing methods.
Space targetsSequential imagesAutonomous navigation systemObservability optimizationManeuverability planning