| Exoatmosphere multiple kill vehicle(MKV)is a new type of ballistic missile defence combat mode,which could improve the engagement capability of intercept missile against multiple targets and reduce the cost-effectiveness ratio.MKV represents the development direction of kinematic kill vehicles(KKV),and has received much concern.Under the background of the cooperative interception problem between MKV and multiple targets,this dissertation mainly studies the problems of MKV target assignment,guidance and control.The main contents and contributions are as follows.For the problem of MKV intercepting multiple targets,the nonlinear relative kinematics model between kill vehicle and target is derived,and the linear system equations represented by zero effort miss(ZEM)is also established considering kill vehicle's arbitrary-order linear dynamics model.Based on the concept of reachable set,kill vehicle's kill probability density function,and target's position probability density function,a novel kill probability estimation method is proposed for one kill vehicle against one target,and the weapon-target assignment model for MKV against multiple targets is established.Greedy optimal algorithm is used to enhance the search capability of genetic algorithm(GA),and the designed greedy based GA shows better performance and faster solving speed than general GA.Aiming to large scale weapon target assignment problem,a distributed assignment method is designed based on the communication between MKV,which has the advantages of lower communication demand,lower computation complexity,faster solving speed,and better scalability.According to MKV target assignment,the interception problem between MKV and multiple-target can be decomposed into a list of one-to-one and many-to-one sub-interception problems.For the planar pursuit-evasion problem between one kill vehicle and one target,the optimal control strategies of both sides are studied using differential game theory,and the analytical capture condition under arbitrary initial intercept geometry and arbitrary-order dynamics is derived.A state-dependent Riccati equation based method is proposed to solve nonlinear differential game.On this basis,a SDRE based nonlinear differential game guidance law is designed,which has a higher precision and better robustness than linear quadratic differential game guidance against unknown target maneuver.Aiming at the cooperative interception problem of many-to-one engagement,the cooperative strategy is studied in two-on-one case,and a two-sides approaching cooperation strategy is proposed in term of ZEM.A novel cooperative guidance law with relative intercept angel constraint is derived based on linear quadratic differential game theory,and its performance superiority is demonstrated by numerical simulations.Kill vehicle's guidance performance is closely related with its attitude control precision,and high-precision attitude control performance is an essential requirement for kill vehicle hit-to-kill intercepting target.In reality situation,kill vehicle attitude control is affected by unknown factors like actuator failure,system uncertainty,and external disturbance,which degenerate attitude control performance.Aiming to improve the attitude control performance of kill vehicle,an adaptive update law is designed to estimate and compensate the uncertainties of attitude control;an adaptive fault-tolerant attitude control for kill vehicle is proposed,which satisfies the condition of finite-time stability.Numerical simulations are conducted to illustrate the availability and superiority of the proposed attitude control method.This dissertation explores key technologies of exoatomosphere MKV,and mainly studies target assignment,intercept guidance law,cooperative strategy,and attitude control.The proposed methods could significantly improve the capability of multiple kill vehicle against multiple targets and have certain reference significance for the development of exoatmosphere MKV. |
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