Multi-agent decision support system for missile defense based on improved PSO algorithm

Ballistic missile defense system (BMDS) is important for its special role in ensuring national security and maintaining strategic balance. Research on modeling and simulation of the BMDS beforehand is essential as developing a real one requires lots of manpower and resources. BMDS is a typical complex system for its nonlinear, adaptive and uncertainty characteristics. The agent-based modeling method is well suited for the complex system whose overall behaviors are determined by interactions among individual elements. A multi-agent decision support system (DSS), which includes missile agent, radar agent and command center agent, is established based on the studies of structure and function of BMDS. Considering the constraints brought by radar, intercept missile, offensive missile and commander, the objective function of DSS is established. In order to dynamically generate the optimal interception plan, the variable neighborhood negative selection particle swarm optimization (VNNSPSO) algorithm is proposed to support the decision making of DSS. The proposed algorithm is compared with the standard PSO, constriction factor PSO (CFPSO), inertia weight linear decrease PSO (LDPSO), variable neighborhood PSO (VNPSO) algorithm from the aspects of convergence rate, iteration number, average fitness value and standard deviation. The simulation results verify the efficiency of the proposed algorithm. The multi-agent DSS is developed through the Repast simulation platform and the constructed DSS can generate intercept plans automatically and support three-dimensional dynamic display of missile defense process.

Optimal index shooting policy for layered missile defense system

In order to cope with the increasing threat of the ballistic missile(BM)in a shorter reaction time,the shooting policy of the layered defense system needs to be optimized.The main decisionmaking problem of shooting optimization is how to choose the next BM which needs to be shot according to the previous engagements and results,thus maximizing the expected return of BMs killed or minimizing the cost of BMs penetration.Motivated by this,this study aims to determine an optimal shooting policy for a two-layer missile defense(TLMD)system.This paper considers a scenario in which the TLMD system wishes to shoot at a collection of BMs one at a time,and to maximize the return obtained from BMs killed before the system demise.To provide a policy analysis tool,this paper develops a general model for shooting decision-making,the shooting engagements can be described as a discounted reward Markov decision process.The index shooting policy is a strategy that can effectively balance the shooting returns and the risk that the defense mission fails,and the goal is to maximize the return obtained from BMs killed before the system demise.The numerical results show that the index policy is better than a range of competitors,especially the mean returns and the mean killing BM number.

Distributed Air &Missile Defense with Spatial Grasp Technology

A high-level technology is revealed that can effectively convert any distributed system into a globally programmable machine capable of operating without central resources and self-recovering from indiscriminate damages. Integral mission scenarios in Distributed Scenario Language (DSL) can be injected from any point, runtime covering & grasping the whole system or its parts, setting operational infrastructures, and orienting local and global behavior in the way needed. Many operational scenarios can be simultaneously injected into this spatial machine from different points, cooperating or competing over the shared distributed knowledge as overlapping fields of solutions. Distributed DSL interpreter organization and benefits of using this technology for integrated air and missile defense are discussed along with programming examples in this and other fields.

The Missile Defense System and Its Effects on Security Policies of the EU, the US and Turkey

The concept of smart power requires to combine soft and hard power. Thus, smart power is a new approach for the US politics towards the Middle East. As a consequence of smart power politics of the US, some newly members of the EU and Turkey has become a part of missile defense system. This is a significant indicator of usage of smart power for the EU members and Turkey. The security policies and practices of the US disclose a necessity for straight allies. For this reason, the relationship between the US, the EU and Turkey may be conceptualize with reference to the concept of smart power. In the case of Missile Defense System, Turkey has agreed to be a participant of this system after signing an agreement with the US. After that, Turkish government has confronted with some interior and exterior political difficulties. One of the most important difficulties is the interior resistance of missile defense system＇s Kiirecik Radar Station and its usage in Turkey. Another important point is the question of control of Turkish National Security and Defense strategy. In that respect, the US government＇s smart power applications may be included in the establishment of the radar station. The EU has also been included in that strategy. This paper will argue smart power practices of the US, the EU and Turkey with reference to comparative practices of power politics and the case of Missile Defense System. In this way, a comprehensive and system-type assessment of possible responses and the change in relations between stakeholder states not only in the issue of a set-up of a Turkish radar station, but on a broader range of international ＂hard＂ security balance will be demonstrated.

Air and Missile Defense Under Spatial Grasp Technology

A novel control ideology and technology for solving tasks in large distributed networked systems will be briefed. Based on active scenarios self-navigating and self-matching distributed spaces in a highly organized super-virus mode, it can effectively establish global control over large systems of any natures. The technology can use numerous scattered and dissimilar facilities in an integral and holistic way, allowing them to work together in goal-driven supercomputer mode. The approach can be useful for advanced air and missile defense in a variety of ways which is described and explained in this paper.

Chinese FM-80 Air Defense Missile System

This paper gives a brief introduction to the FM-80 low and very low altitude air defense missile system.The paper also describes in details its main components characteristics functions tactical specifications,operation and its future improvements.

Fire Distribution of Integrated Missile-gun Air Defense System Based on Earlier Damage Criterion

The fire distribution can be divided into weapon assignment and firing time scheduling. The criterion of weapon allocation is that a target with greater threat has higher priority. And the criterion of firing time scheduling is that a target can be damaged with the expected probability before a specific time. A fire distribution scheme and a program for the integrated missile-gun air defense system based on a criterion of earlier damage were presented. An example was taken to illustrate its effectiveness.

China's HN-5A Air Defense Missile System

This paper describes the HN-5Aman-portable air defense missilesystem which contains the HN-5Aweapon,test equipment and train-ing simulator.Compared with simi-lar missiles,it has more powerfulwarhead,its seeker reticle is coatedwith optical filter film,and its de-tector is equipped with cooling de-vices.Moreover,the paper alsopoints out the trends of the im-provement and development of HN-5A system.

Online task planning method of anti-ship missile based on rolling optimization

Based on the wave attack task planning method in static complex environment and the rolling optimization framework, an online task planning method in dynamic complex environment based on rolling optimization is proposed. In the process of online task planning in dynamic complex environment,online task planning is based on event triggering including target information update event, new target addition event, target failure event, weapon failure event, etc., and the methods include defense area reanalysis, parameter space update, and mission re-planning. Simulation is conducted for different events and the result shows that the index value of the attack scenario after re-planning is better than that before re-planning and according to the probability distribution of statistical simulation method, the index value distribution after re-planning is obviously in the region of high index value, and the index value gap before and after re-planning is related to the degree of posture change.

OPTIMIZATION FOR COMBAT CONFIGURATION OF AIR DEFENSE WEAPON SYSTEMS

At evaluating the combat effectiveness of the defense system, target′s probability to penetrate the defended area is a primary care taking index. In this paper, stochastic model to compete the probability that target penetrates the defended area along any flight path is established by the state analysis and statistical equilibrium analysis of stochastic service system theory. The simulated annealing algorithm is an enlightening random search method based on Monte Carlo recursion, and it can find global optimal solution by simulating annealing process. Combining stochastic model to compete the probability and simulated annealing algorithm, this paper establishes the method to solve problem quantitatively about combat configuration optimization of weapon systems. The calculated result shows that the perfect configuration for fire cells of the weapon is fast found by using this method, and this quantificational method for combat configuration is faster and more scientific than previous one based on principle via map fire field.

Distributed Control Technology for Air and Missile Defence Operations

This paper relates to accepted presentation at international conference Air and Missile Defence Technology,November 16-17,2022,London UK(day two),reflecting contents of the presentation slides.It describes applications of the patented and internationally tested Spatial Grasp Technology(SGT)and its Spatial Grasp Language(SGL)for Integrated Air and Missile Defense(IAMD).Based on holistic space navigation and processing by recursive mobile code self-spreading in distributed words,SGT differs radically from traditional management of large systems as consisting of parts exchanging messages.The dynamic network of SGL interpreters can be arbitrarily large and cover terrestrial and celestial environments as powerful spatial engines.The paper contains an example of tracking and destruction of multiple cruise missiles by self-evolving spatial intelligence in SGL using networks of radar stations.It also briefs the growing multiple satellite constellation in Low Earth Orbits(LEO)for potential IAMD applications.Starting from Strategic Defense Initiative(SDI)of the past and then briefing the latest project of Space Development Agency,the paper shows SGL solutions for discovery,tracking,and destroying ballistic missiles and hypersonic gliders with the use of collectively behaving constellations of LEO satellites.It also shows how to organize higher levels of supervision of groups of mobile chasers fighting multiple targets(both potentially as missiles or drones),by providing their global awareness even consciousness in SGL which can drastically improve their performance.The latest version of SGT can be implemented on any platforms and put into operation in a short time,similarly to its previous versions in different countries.

HQ-2B Surface-to-Air Missile System

China’s HQ-2B is a point-de-fense missile system derived fromthe HQ-2.The article briefly intro-duced its main characteristics,com-ponents and the important improve-ments in the missile itself,the guid-ance system and the newly devel-oped launch facilities. GENERAL The HQ-2B surface-to-air missilesystem is an effective all-weatherand all-aspect point-defense weaponsystem which is the latest develop-

C301 Supersonic Anti-ship Missile

This article introduces the components, major features and combat effectiveness of China’s C301 anti-ship missile weapon system. With very low altitude and supersonic speed, the C301 missile has very high penetration capability. It is an advanced coast defense weapon system in the 1990s.

Optimal guidance against active defense ballistic missiles via differential game strategies

The optimal guidance problem for an interceptor against a ballistic missile with active defense is investigated in this paper.A class of optimal guidance schemes are proposed based on linear quadratic differential game method and numerical solution of Riccati differential equation.By choosing proper parameters, the proposed guidance schemes are able to drive the interceptor to the target and away from the defender simultaneously.Additionally, fuel cost, control saturation,chattering phenomenon and parameters selection were taken into account.Satisfaction of the proposed guidance schemes of the saddle point condition is proven theoretically.Finally, nonlinear numerical examples are included to demonstrate the effectiveness and performance of the developed guidance approaches.Comparison of control performance between different guidance schemes are presented and analysis.

基于深度强化学习的舰船导弹目标分配方法

针对对抗环境下的海上舰船防空反导导弹目标分配问题,本文提出了一种融合注意力机制的深度强化学习算法.首先,构建了舰船多类型导弹目标分配模型,并结合目标多波次拦截特点将问题建模为马尔可夫决策过程.接着,基于编码器–解码器框架搭建强化学习策略网络,融合多头注意力机制对目标进行编码,并在解码中结合整体目标和单个目标编码信息实现舰船可靠的导弹目标分配.最后,对导弹目标分配收益、分配时效以及策略网络训练过程进行了仿真实验.实验结果表明,本文方法能生成高收益的导弹目标分配方案,相较于对比算法的大规模决策计算速度提高10%~94%,同时其策略网络能够快速稳定收敛.

基于节点重要性和改进效能环的防空反导预警体系能力评估

针对防空反导预警体系能力评估中存在的现实性较弱、考虑异质特性较少和能力计算不够全面等问题,提出基于节点重要性和改进效能环的体系能力评估方法。依托超网络模型对体系结构进行抽象建模,给出具有现实意义的效能环模型。从网络全局和局部节点的重要性出发,根据节点之间相互影响关系对效能边进行分析,并结合节点的重要性和可靠性提出体系的能力期望,从而改进基于效能环的体系能力评估方法。反导预警作战的案例仿真分析结果表明:新方法具有可行性与合理性,充分考虑了防空反导预警体系的现实特性和装备的异质特征,能够较全面地评估体系作战能力,为体系的能力评估和结构优化提供理论支撑。

Trajectory tracking guidance of interceptor via prescribed performance integral sliding mode with neural network disturbance observer

This paper investigates interception missiles’trajectory tracking guidance problem under wind field and external disturbances in the boost phase.Indeed,the velocity control in such trajectory tracking guidance systems of missiles is challenging.As our contribution,the velocity control channel is designed to deal with the intractable velocity problem and improve tracking accuracy.The global prescribed performance function,which guarantees the tracking error within the set range and the global convergence of the tracking guidance system,is first proposed based on the traditional PPF.Then,a tracking guidance strategy is derived using the integral sliding mode control techniques to make the sliding manifold and tracking errors converge to zero and avoid singularities.Meanwhile,an improved switching control law is introduced into the designed tracking guidance algorithm to deal with the chattering problem.A back propagation neural network(BPNN)extended state observer(BPNNESO)is employed in the inner loop to identify disturbances.The obtained results indicate that the proposed tracking guidance approach achieves the trajectory tracking guidance objective without and with disturbances and outperforms the existing tracking guidance schemes with the lowest tracking errors,convergence times,and overshoots.

线列式破片战斗部对导弹目标毁伤效能分析

为探究线列式破片战斗部对导弹目标的毁伤效能,通过数值计算方法,研究了线列式战斗部破片排布方式及炸药材料类型对破片威力场分布特性的影响规律,分析了不同着靶姿态对破片侵彻导弹舱段等效靶板的影响,得到破片侵彻不同厚度靶板的极限速度;对导弹目标整体及各舱段毁伤程度进行定义,并对不同弹目交会条件下线列式战斗部对导弹目标的毁伤效能进行了研究。结果表明:弹目交会时,战斗部俯仰角的变化主要影响破片场命中导弹时的轴向位置;战斗部偏航角的变化会影响破片聚焦带的方向;弹目距离主要影响导弹目标附近的破片密度。

基于复杂网络的防空反导体系拓扑特性

信息技术和军用物联网技术的发展不断推动着作战样式的变革,网络复杂性正逐渐成为研究的重要问题之一。基于复杂网络理论,构建防空反导网络模型,并对网络模型的拓扑特性进行仿真分析。结果表明,防空反导网络模型具有较大的平均集群系数和较小的平均路径长度,符合小世界特性,且网络效能系数与网络模型结构有较大关系。仿真结果对防空反导网络模型的建立并揭示其内部机理具有一定的理论意义。

基于大指令变化率下的防空导弹姿态控制方法

针对防空导弹的目标机动性较强带来的姿态控制品质变差的问题,提出一种事件触发控制方法。首先分析了由于目标机动性过强导致的指令变化率未知,以及指令变化率过大导致稳态误差较大的原因。针对此问题引入非线性最速跟踪微分器获取指令变化率,研究指令变化率与姿态角误差之间关系,定义稳态效应指标,并在该指标基础上设计了基于事件触发的新增控制量。采用滑模控制和扰动观测器使系统在指令变化率较大条件下的稳态误差被抑制在5%误差带之内。在工程实践的背景下,数值仿真考虑了气动参数拉偏以及执行机构限幅,仿真结果验证了设计的控制系统的有效性。