Function Chain-Based Mission Planning Method for Hybrid Combat SoS

With the development of unmanned equipment technology, new types of intelligent weapons such as loitering missile and unmanned aerial vehicle(UAV) are widely used. The combat system of systems (SoS) presents the characteristics of multifunctional combat equipment and hybrid manned and unmanned force units. At present, the research of mission planning is mostly oriented to a single factor, does not consider a variety of operational activities. Therefore, how to describe the hybrid operational organization of multiple functions and force units and to accomplish mission planning for various operational activities has very practical significance. In this paper, the FINC(Force, Intelligence, Networking, C2) model is extended, a new model framework of unmanned combat force with the function of integrated observe and attack is proposed, which is called Force Intelligent Network Command and Control Model with autonomous platform (FINCA). Four types and eight different function chains are proposed for the hybrid Combat SoS. Through the capability requirements and resource constraints, the operational tasks are mapped to the types and quantities of function chains that needed to accomplish this task, and the multi-priority list dynamic reconstruction scheme (MPLDCS) method is used to generate the function chain planning scheme. The many-objective optimization algorithm NSGA-III is improved, let mission execution time, connection change induced consumption, and the real-time remaining number of UAV composed the objective function to find all possible Pareto front. Finally, the method proposed in this paper was validated by the case of the modular and reconfigurable fire brigade proposed by the US.Army to participate in the border operations.