The application discloses a feedback-driven high-
orbit satellite cooperative observation task planning iteration method, which comprises the following steps: based on the data of the space target to be observed, the data of the high-
orbit satellites participating in the cooperative observation, planning optimization parameters and
satellite resource constraints, a structured cooperative observation scheme is generated through a multi-objective optimization
algorithm, and is distributed as a ground center retained scheme and a
satellite exclusive observation instruction
package; based on the observation instruction
package and the on-
orbit dynamic state, the instruction execution and dynamic adjustment observation action are carried out, the observation results, the cooperative state and the
resource consumption data are synchronously and real-timely collected, and the on-orbit execution
data set is output; a quantitative
index system of the
point target detection rate, the multi-satellite cooperation degree and the load resource waste rate is constructed, and the performance
bottleneck is identified, and the feedback index and the
bottleneck analysis result are generated; based on the PID control thought, a quantitative mapping model of the feedback index and the planning parameter is established, the quantitative mapping of the feedback information and the strategy adjustment is realized, and the planning optimization parameter set is output.