| Improving the autonomy of unmanned combat system is an important trend in the development of unmanned combat systems.Autonomy has many advantages in military applications.Studies of our army have laid more emphasis on unmanned equipment nowadays,but there are few studies on the autonomy of unmanned combat systems.Compared with other military powerful nations,especially the United States,there is still a need to conduct in-depth study on the military application of unmanned systems.According to the autonomous characteristics of the unmanned combat system in the context of military application,the paper proposes the connotation and conceptual model of the autonomy of unmanned combat system,analyzes the autonomy of unmanned combat systems,establishes relevant hierarchical models and assessment methods,and studies task-oriented The unmanned combat system autonomy level optimization allocation model provides a method and technical support for further accelerating the construction of unmanned combat systems and enhancing operational effectiveness.Firstly,the level division of the autonomy of the unmanned combat system is proposed and its conceptual model is established.According to the cognitive results of the unmanned combat system on its own intelligence and the attribute of man-machine interaction degree,the autonomous grade division of the unmanned combat system is proposed.Based on the concept and general understanding of autonomy,combined with military background,the concept and connotation of autonomy of unmanned combat system are studied and put forward.Further optimization and improvement are carried out on the basis of OODA model.Considering the factors of autonomy adjustment,the conceptual model of autonomy of unmanned combat system is established.Secondly,an evaluation method for autonomous level of unmanned combat system is presented.Based on the general principle of autonomy rating evaluation,the paper establishes the model and framework of the autonomy level evaluation,and focuses on the elaboration of this model.An index system for evaluating the level of autonomy is established and the "autonomy" is taken as the overall index.According to the concept and connotation of autonomy,the overall index is divided into five first-level indexes,which are further divided into several second-level indexes,extending layer by layer.Finally,each index value is initialized to dimensionless processing,and the final evaluation result is obtained through weighted calculation,namely the autonomous level of unmanned combat system.Thirdly,a task-oriented optimal assignment model for autonomy level of unmanned combat system is proposed.First of all,the operational task planning model of unmanned combat system is established,which takes the capability constraints,autonomy constraints and timing constrains as the conditions respectively,and takes minimality of the consumption of task resources and the total time of task completion as the goals.In addition,the autonomous level modulation model of the unmanned combat system is established.Starting from the multi-attribute decision theory,the decision rules are formulated to maximize the task completion rate of the unmanned combat system in the execution of combat activities while minimizing the resource consumption and the risk of executing tasks.At last,the organization sequencing method is adopted to calculate the optimal autonomy level.Finally,a landing battle case is designed to verify the correctness and effectiveness of the hierarchical optimization distribution model proposed in this paper.First of all,the problem of landing mission planning is solved and the constraints such as capability,autonomy and timing are considered.Then unmanned combat system is dispatched to complete combat activities,so as to achieve the highest efficiency and take the shortest time to complete combat missions on the basis of meeting the requirements of the activities.Then,the problem of autonomous level allocation of unmanned combat system is solved to maximize the effectiveness of unmanned combat system in performing tasks.Meanwhile,the working load is appropriate and its resources are greatly utilized. |