中国科技核心期刊
中国指挥与控制学会会刊
军事装备类重点期刊
中国指挥与控制学会会刊
军事装备类重点期刊
中国指挥与控制学会会刊
军事装备类重点期刊
This paper analyzes the capability characteristics of the unmanned combat platform, envisages the cooperative application scenario of the unmanned combat system in the sea battlefield, designs the command and control system composition and command and control structure of the unmanned combat system, analyzes the main key technologies in the command and control of the unmanned combat system, and hopes to promote the cooperative operation application of the unmanned combat platform in the sea battlefield.
When unmanned aerial vehicles(UAV) is used to perform time-sensitive data collection tasks, the remote nodes could lead to reduced energy efficiency of the UAV, increased energy consumption of ground sensor nodes(SNs) for data transmission and increased task completion time. A data collection method based on collaboration between ground-based mobile base stations(BS) and UAV is proposed. BS is deployed on demand to complete data collection from remote nodes and send it to UAV, the transmission energy consumption of the remote nodes and the flight energy consumption of UAV are saved, thus the lifetime of wireless sensor network(WSN) and the energy efficiency of UAV are increased. The SNs’ wake-up schedule,UAV’s trajectory and BS’s locations are jointly optimized to minimize the maximum energy consumption of all SNs. The problem is modeled as a mixed-integer non-convex problem. By applying the successive convex approximation(SCA) technique, an efficient iterative algorithm is proposed to find a sub-optimal solution. Simulation results show that the proposed scheme achieves significant performance improvements compared to other benchmark schemes.
Facing the asymmetrical conditions in both overall national strength as well as military strength in a certain regional conflict, the weak side takes UAVs of observation and attacking integrated capabilities as its break through, thus achieving effects that exceed expectation in repeatedly low-intensity regional conflict operation, and makes innovation to intelligence guerrilla warfare tactics at the same time. This paper first clarifies and summarizes basic information about UAV operational applications of both sides in the conflict, then analyses the characteristics of UAV operation, further on, it makes suggestions on enhancing UAV data chain construction, the importance of collaborative use of manned/unmanned aerial vehicles, innovation on warfare strategy and tactics, as well as the design of anti-UAV strategy, in hopes of providing some preset reference for our army in response to the concept of unmanned combat in the intelligence warfare era.
Intelligent battlefield situation assessment is the basis and key of realizing intelligent battle command. With the rapid development of machine learning and its wide application in military field, as well as the improvement of battlefield data acquisition ability, data-driven battlefield situation assessment based on machine learning has become a research hotspot. The author summarizes the concept of battlefield situation assessment and the research status of battlefield situation assessment based on machine learning, analyzes the existing problems of battlefield situation assessment based on machine learning, and looks forward to its solutions and research methods.
Due to high accuracy, strong anti-interference capability, simple structure and high cost-effectiveness ratio, airborne laser-guided weapons play a very important role in the modern wars and have become critical weapons in close-range air-to-ground attacks. Based on an analysis of the military needs for airborne laser-guided weapons in the air-to-ground warfare and the current development, a summary of the characteristics, analysis of the key technologies and anticipation of the prospect of the airborne laser-guided weapons, this thesis is intended to provide insights into the orientation of the airborne laser-guided weapons’ development and the research of the application of the airborne laser-guided weapons in the future battlefield.
Aiming at the shortcomings of traditional differential evolution algorithm in solving operational targets assignment, such as high parameter sensitivity, low accuracy of high-dimensional variables and easy to fall into local optimization, an improved multi strategy cooperative differential evolution algorithm is proposed. The elite population is used to guide the three coevolution populations which have the same size. Each population takes the historical information of excellent variants as self-learning experience, and adaptively selects mutation strategy, mutation scaling factor and crossover probability according to the degree of evolution, so as to balance the global search ability and convergence speed. Compared with three common algorithms on eight test functions, the average value, standard deviation, Wilcoxon rank-sum test and winning rate of the optimal solution are analyzed to test the convergence and stability of the algorithm. Taking a joint fire strike as an example, the simulation results show that the algorithm can effectively solve the problem of operational targets assignment.
In order to adapt to needs of intelligent wargame system research, it proposes two intelligent prediction methods of engaged firepower units for cognitive modeling of wargames. The first approach is based on knowledge graph representation learning. It decomposes the knowledge graph into attribute subgraphs, the features of firepower units in each subgraph are extracted by using neural network model, the prediction is made by calculating the correlation between targets and firepower units. The second approach is based on the fusion of knowledge graph and the operational behavior of firepower units. It uses gated recurrent unit and attention mechanism to model the operational behavior of firepower units, the feature vector of firepower units extracted from the knowledge graph is input into the behavior model to obtain the behavior feature of firepower units, finally we predict which firepower units will be engaged. Experimental results show that the proposed methods can effectively predict the firepower units that will carry out the strikes.
As a ballistic target, RAM target’s movement characteristics of the passive section is decided by its mass-to-resistance ratio. If the ratio is known, the ballistic equation can be accurately modeled, which is of great significance to follow-up tracking and interception. In the radar measurement coordinate system, the mass-to-resistance ratio is added to the dynamic model of RAM target as a new state. Regarding the mass-to-resistance ratio as a constant does not satisfy its slow time-varying characteristics, the mass-to-resistance ratio is modeled based on the first-order Markov model. To ensure the reliability of estimates, strong tracking CKF algorithm is used for tracking. Compared with normal algorithms, simulation results show that the convergence of this method is increased by 40%, and the state estimation accuracy is increased by 30%. It can meet the tracking requirements under certain external interference.
High power microwave (HPM) weapons have broad application prospects in future naval air defense operations. It is of great significance to synergize HPM weapons with conventional naval air defense weapons to improve maritime air defense and anti-missile capabilities. In this paper, aiming at the threat assessment of maritime air defense targets, based on the Fuzzy Wavelet Neural Network (FWNN) model, six indicators of the type, speed, heading angle, jamming capability, altitude and route shortcut of the incoming target are selected as the input of the FWNN, and quantify each index according to the level quantification theory. By training the FWNN model, the corresponding relationship between the input item and the threat assessment value is obtained, and the threat assessment model of the incoming target is established. Using the constructed target threat assessment model, the threat value of the same incoming target with or without HPM weapons is obtained. The results show that the evaluation error of the FWNN model is generally kept below 0.05, which is better than that of the BP neural network model; and after the HPM weapon is added to the ship air defense system, the mean value of the target threat evaluation value drops by 0.1039. Therefore, the FWNN threat assessment model constructed in this paper can better reflect the threat level of the incoming target; it also shows that the addition of HPM weapons to the shipborne weapon air defense system can reduce the threat value of the incoming target to a certain extent and improve the ship’s comprehensive air defense capability.
On account of low pertinence and lack of quantitative analysis methods of demand analysis of equipment support capacity, this paper derives from the missions and tasks and proposes an analytical method of demand satisfaction degree of task-oriented equipment support capacity. Through decomposing the missions and tasks, combined with the mapping relations, this paper obtains the equipment support capacity demand under specific missions and duties; with the utilization of Grey Relational Analysis and Technique by Similarity to Ideal Solution, this paper proposes the demand satisfaction degree calculation model of task-oriented equipment support capacity and completes the quantitative analysis of equipment support capacity demand. Finally, combined with living examples, this paper verifies the effectiveness and availability of this analytical method.
In order to evaluate the jamming effectiveness of synthetic aperture radar (SAR) better, an evaluation method based on analytic hierarchy process (AHP) and performance of target detection and recognition is proposed. Firstly, the imaging region is divided according to the tactical background, and the evaluation weight of each region is calculated by AHP. Then, the evaluation index is designed according to the attenuation of target detection and recognition performance, and the regional evaluation result is calculated according to the jamming form. Finally, the comprehensive evaluation results are calculated by combining the regional evaluation weights. Simulation results show that this evaluation method can be closely combined with tactical background and battlefield requirements, and is suitable for near-real-time and non-cooperative evaluation scenarios.
In operational use, the platform’s navigation safety, concealment and the safety of launching missile will be affected by marine environment and technical performance of weapon system. The influence mode and interrelationships between various factors of marine environment and weapons system on operational use of missiles are analyzed, and the evaluation index system of missile launching safety is established. Combined with the submarine navigation safety and concealment, the evaluation index system of marine environment influence on submarine-launched ballistic missiles is formed, and the key problems which should be solved by the follow-up application of mathematical methods for comprehensive evaluation are proposed.
In view of the problem that the risk factors faced by warship maritime training are numerous, complex and cross constrained, and it is difficult to evaluate, an evaluation model based on cloud model and ANP is constructed, which is analyzed and verified with an example. The results show that this method fully considers the relationship between risk factors, effectively overcomes the influence of fuzziness and randomness on the evaluation, and provides a new idea for warship training safety risk evaluation.
Through the analysis of the influencing factors of ammunition precision support ability, a structured model of the influencing factors of ammunition precision support ability is built based on ISM. The complex relationship among many influencing factors of ammunition precision support ability is hierarchical, and the key factors affecting ammunition precision support ability are determined. It provides important reference for the construction of ammunition precision support capability in peacetime and the determination of key attention nodes in wartime.
In order to solve the problem of long time for multiple delivery of LCAC, a rotating delivery method of multiple delivery is proposed based on the comparison and selection of secondary loading schemes of LCAC and the analysis of the delivery process of LCAC. Through model analysis and simulation calculation, the superiority of the rotary delivery method is demonstrated, which provides reference for rational use of LCAC.
The network modeling abstraction of the joint military-police anti-terrorism command method is carried out by using complex network theory, proposing the network model generation algorithms of the joint military-police anti-terrorism level-by-level command and the joint military-police anti-terrorism task-based command and analyzing the network effectiveness of the two networks, pointing out that the joint military-police anti-terrorism command method should strengthen the same task nodes at the same level while determining the command level and command relationship. It is also analyzed that the proposed network has small-world characteristics.
Vehicle-mounted photoelectric detection equipment is the eyes of modern combat vehicles, and its performance directly determines whether the combat vehicle can perform precise strikes on targets. Therefore, the stable platform servo system as the carrier of photoelectric detection equipment must have good control performance to ensure the stability of the optical detection equipment’s visual axis. Aiming at non-linear problem such as friction torque, unbalanced torque and road disturbance in the actual work of the photoelectric vehicle measurement platform, the RBF neural network sliding mode controller based on the load observer is designed to replace the PID controller widely used in the industry to ensure the position control of the measuring platform. Based on the strong robustness of sliding mode control, the RBF neural network is used to dynamically and adaptively approximate the time-varying unmodeled items. Also, the load observer is used to observe the time-varying load torque to compensate the control rate. Simulation and experimental conclusions prove that the designed control strategy can effectively improve the position accuracy of the measurement platform and has strong robustness.
Flexible flying wing aircraft has attracted extensive attention because of its high lift coefficient and low drag coefficient. Due to the coupling of aircraft structural dynamics and rigid body dynamics, aircraft is prone to elastic deformation, which not only makes it difficult to model flexible aircraft, but also brings challenges to the design of control system. Therefore, an adaptive output feedback control method is designed for the flexible aircraft model of the flying wing configuration, and the simulation application is carried out on the flexible flying wing aircraft. Firstly, the longitudinal dynamic model of flexible flying wing aircraft is constructed and the trim analysis is carried out. Then, the nonlinear longitudinal dynamic model is linearized to obtain the linear aircraft model. Then, an adaptive output feedback controller is designed, including observer based baseline design and parameter adaptation based on modified closed-loop reference model. The overall design ensures the stability and tracking performance in the presence of large parameter uncertainty. Finally, the superior performance of the output feedback controller under the condition of parameter adaptation with modified closed-loop reference model is verified. The simulation results show that the output feedback control can well deal with the parameter uncertainty of the aircraft model, and adding the modified closed-loop reference model can improve the parameter adaptive performance of the controller.
At present, the research on multi-sensor resource coordination and scheduling mainly focuses on the collaborative scheduling between single platforms or single systems of multi platforms. The research on continuous and dynamic resource coordination and scheduling under specific combat tasks under the shipborne integrated RF integrated radar ECM system is not enough. This paper proposes a multi-sensor resource scheduling method of shipborne integrated RF system driven by combat steps. Starting with the construction of scheduling system, the establishment of flexible scheduling time, resource allocation and priority calculation criteria, the scheduling constraints and scheduling strategy requirements are determined to realize the optimal management and scheduling of air combat resource support of integrated RF system. The scheduling model can provide guidance and basis for air combat command and auxiliary decision-making.
When a certain type of reconnaissance equipment uses real equipment for calibration operation training, it needs large site support, the operation process is cumbersome, and it will cause a certain degree of wear to the real equipment. In order to solve this problem, a virtual simulation calibration training system is designed and implemented by using Vega simulation software. The overall design and functional module design of the system are studied, and the key technologies such as the generation of three-dimensional scene, the modeling of aiming mirror and TV calibration mirror, and the modeling of equipment vehicle are analyzed. The verification results show that the system realizes the virtual calibration training requirements of equipment, and has important practical significance to improve the training quality and efficiency of equipment.
Training simulation system is an effective means to improve training level, training efficiency and get close to practical training. By discussing the reasons of system construction, this paper builds a training simulation system with the help of command information system. Based on the definition of equipment integrated training simulation of the simulation system, the system function and system organization structure are designed, and the technologies involved in the system construction are described in detail from the perspective of technical realization, which has certain guiding significance for the subsequent construction of the system.
Aiming at the shock caused by high-energy laser weapon applied to ship power system, a voltage compensation strategy based on dynamic voltage restorer is proposed. Based on the characteristics of ship integrated power system, a simulation model is established. The principle of dynamic voltage restorer is analyzed and its effectiveness is verified by simulation. The results show that the dynamic voltage restorer is easy to control, and it can deal with voltage sag phenomenon better when the high-energy laser weapon is loaded into the ship’s power system, and can compensate voltage timely.
According to the design requirements of a radar antenna reflector prototype, a block scheme of antenna reflector is proposed, and the reflector is designed in detail according to the block scheme. The finite element model of the antenna reflector is established by MSC Nastran finite element analysis software, and the stiffness and strength of the reflector structure are checked by simulating the practical operating conditions. The results show that the design scheme of the reflector meets the requirements of the overall index, and provides a certain reference for the design of the same type antenna reflector.
