Abstract:In view of completing equipment operation tasks, the comprehensive quality attribution of the equipment can be characterized in the process of operations by the Equipment Operational Integrity (EOI). In this study, the concept of the Equipment Operational Integrity Control(EOIC) is put forward to control the comprehensive quality attribution of equipment effectively. The EOIC is a series of activities carried out in the process of equipment design/manufacture and service/usage to achieve the established operational integrity objectives (a certain set of durability, supportability, safety, performance, survivability and recoverability, or a certain equipment operational integrity degree, or a certain equipment readiness rate).And then, the goals of EOIC and the three basic equipment operational integrity control modes, the openloop control,coordinated control and balanced control, are analyzed as well as the connotation of EOIC. Furthermore, the basic ways to perform the EOIC are gained, which are establishment and implementations of the Equipment Operational Integrity Program (EOIP). Finally, the objectives of the EOIP are discussed briefly, including Design Information, Design Analysis and Development Tests, Full Scale Testing, Force Management Data Package and Force Management.

Abstract:Aimed at the problems that as for the aerospace three-stage brushless generators, the builtin voltage is overshoot, the adjustment range is limited, the response is low at speed, and difficult to meet the needs of highquality power supply,a multi-parameter voltage regulation strategy to improve threestage generators based on the improved fractional order control is proposed. Firstly, by increasing the excitation current and load current feedback,multi-parameter voltage regulation is achieved to improve dynamic performance. Second, the improved fractional order PI λ controller is used, and the controller improves the regulation performance during the buildup phase. Finally, the fuzzy rules are introduced into the fractional order controller to make the controller have both dynamic and steadystate performance. In order to effectively verify the rationality of the proposed method, an aerospace threestage brushless generator simulation platform is set up and the related simulation analysis are performed. The results show that compared with the traditional voltage control, the proposed method can reduce the construction pressure overshoot by 6.4%. In the construction pressure and sudden loading and unloading phases, the response time goes down by 42.76%, 37.01%, and 32.88% respectively.

Abstract:Roughness of surface at different grades is generated by adopting SIMULINK toolbox and filtering white noise method . With the space of roughness being unchanged and the vibration amplitude of different level of roughness being equal, parameter selection in the process of generating white noise is discussed emphatically. Then a quarter landing gear taxiing model is established under condition of the influence of lift in consideration of the force of landing gear buffer and tire system. The statistical variation of wheel dynamic load coefficient at different speed and roughness level is simulated and studied. The results shown that the mean value of dynamic load coefficient has nothing to do with the grade of road surface roughness. The standard deviation of dynamic load coefficient increases continuously with the increase of running speed, but there exists the most sensitive speed related to the natural frequency of the system. The maximum value of dynamic load coefficient determined calculated by 3 criterion increases first and then decreases with the increase of running speed. With the uniform increase of IRI value, the cumulative relative displacement growth rate of landing gear model becomes smaller and smaller with the oil nonlinear damping being affected.

Abstract:Equivalent system simulation is a method to effectively evaluate the flight quality of highorder fly by wire aircraft. The traditional equivalent matching usually adopts the method of least squares, and the matching result is susceptible to the selection of the initial value. Firstly, a closed loop pilotaircraft system model , in consideration of the dynamics of a certain aircraft, the fly by wire system, the pilots manipulation and elevator,is established, and then an equivalent system matching process based on adaptive clonal selection algorithm is presented.Finally, the closedloop highorder pilotaircraft system is adopted by the adaptive clonal selection algorithm. A low-order equivalent fit is performed, and the accuracy of the fit meets the requirements of the adaptive envelope. The simulation results show that the adaptive clonal selection algorithm has strong ability to optimize, and can be used to effectively improve the accuracy of the proposed matching.

Abstract:Aiming at the problem of increasingly complex structure of airborne missile, lack of diagnostic data in the traditional expert system, low efficiency and accuracy of fault diagnosis, a method based on Belief Rule Base (BRB) is proposed to diagnose the airborne missile. Firstly, this paper describes the reasoning method of BRB based on evidence reasoning and establishes the nonlinear model between input and output. Secondly, in order to solve the problem of inaccurate initial BRB parameters in traditional expert system, the parameter optimization learning model is established combining with the fault location information. Finally, taking a kind of airborne missile refrigeration system as an example, the fault diagnosis method of the airborne missile based on belief rule base is verified. The results show that this method can not only overcome the problem of low efficiency of traditional expert system diagnosis, but also improve the diagnosis accuracy of the airborne missile by parameter training. This method can improve the fault diagnosis efficiency of airborne missile and provide reference for the maintenance and support of airborne missile.

Abstract:A set of bulk swirl distortion generators is designed by using a certain type of CDA profile (controllable diffusion profile) in order to investigate the effect mechanism of swirl angle generated by the stream vane swirl distortion generator and improve the design efficiency of the StreamVane swirl distortion generator. The influence of different geometric parameters and external conditions on the formation of swirl angle is studied by CFD. The results show that both the blade solidity and the installation angle have the greatest influence on the swirl angle; Relatively speaking, the outside diameter of the distortion generator and the development of the swirl flow have little influence on the generation of the swirl angle; The relationship between Mach number and swirl angle is exponential within the range of the subsonic speed studied in this paper. On the basis of the above mentioned factors, a fitting formula of swirl angle generated by the stream vane swirl distortion generator is given, and a twin swirl distortion screen is designed by using the fitting formula. The experiment result show that the fitting formula is high in reliability.

Abstract:In the cognitive sensor networks, a novel frame structure is proposed based on the cooperative spectrum sensing. In this novel model structure, the cognitive nodes’ (CNs’) spectrum sensing and the data transmission can be conducted simultaneously, and the throughput of the CSN is improved through the optimization of sensing bandwidth. Thus it can be seen that the CNs’ delay QoS (Quality of Service) constraint has an effect on the throughput, and the maximum throughput and the minimum transmission delay cannot be obtained simultaneously. This paper proposes an efficient iterative algorithm to jointly optimize the sensing bandwidth and the decision threshold of the fusion center that the throughput is maximized while the delay QoS constraint is satisfied. The simulation results show that the CSN’ throughput can be improved by using the proposed optimization scheme, and different transmission delay QoS requirements have different values of optimal sensing bandwidth.

Abstract:Aimed at the current situation that both the traditional electronic system architecture and the task decision mechanism fail to meet the needs of fulfilling complex tasks given by aviation swarms, this paper proposes an electronic system architecture and task decision mechanism based on mutual subject. Firstly, from the point of view of the actual application requirements in aviation swarm electronic system, the physical composition basis of the electronic system and the flexible aggregation of the electronic resources are analyzed. Secondly, an electronic system architecture model based on the mutual subject is established, realizing the organic combination of hierarchical capabilities in among the physical domain, the information domain and the cognitive domain. And then, a mutual informationbased interaction and decisionmaking method is proposed to improve the flexibility and overall effectiveness of aviation swarm operations. Finally, a living example of mutual subject in aviation swarm application is given.

Abstract:Aimed at the problems that under condition of Underlay mode, the phenomenon of user frequency conflict interference may come out if the coverage is large with the satellite network, and the energy of mobile users in the satelliteground network is limited, in comprehensive consideration of the differences between the ground stations and mobile users among satellite users, this paper constructs a multiuser joint power control game model based on the spectrum of energy efficiency, and on the basis of the best response strategy and based on the game model proposed, a joint optimization algorithm (COAES) spectrum of energy efficiency effect is proposed, and the spectrum efficiency and effect factor are defined. Through the energy efficiency of different users playing with spectrum optimization requirements in terms of game theory, theory can prove its convergence to the Nash equilibrium. The simulation results show that the COAES algorithm can meet the needs of the spectral efficiency and the energy efficiency for different users, and the combined factor increases by 50% and 35% respectively, compared with the NETMA algorithm and the PRA algorithm.

Abstract:Previous researches of fingerprinting feature extraction of frequencyhopping signals have just classified signals through deep learning. We wish to create a new model based on CNN convolutional neural network which can extract the characteristics of the pre-processed frequency hopping signals and classify them using those characteristics. Firstly, we perform short-time Fourier transform on the collected frequencyhopping signals to present them in frequency hopping sensitive frequency domain. The converted signals will be putted into the CNN network model and convolved, pooled and fully connected so that we can get final classification results. In this process, we use multi-layer convolution to extract deeplevel features in the frequency domain of the signals and apply Batch Normalization and Callback functions which can not only optimize and accelerate network convergence speed, but also prevent overfitting effectively. From the final data, the new network model has higher individual recognition accuracy rate than the previous.

Abstract:Specific emitter identification (SEI) technique means that the relationship between the signal and the individual of the radiation source is judged by the difference in the signal of the transmitter response. Both the traditional methods and new emerging methods to make the neural networks for SEI rely on signal samples with category information. However, in conventional practice, the signal samples with category information are difficult to acquire. In order to solve this problem, this paper introduces a density peak clustering (DPC) algorithm in unsupervised learning to achieve SEI without classless information signal samples. Since the performance of the DPC algorithm is greatly influenced by the artificial input parameterdc, this paper utilizes the diffusion equation and the kernel density estimation improved algorithm for classifing the data without the need of manual input parameters. The algorithm proposed in this paper is good in effects, and reliable and effectiveness in algorithm.

Abstract:Unlike the beam pointing of phased array (PA), which is only angularly related, the beampattern of frequency diversearray (FDA)achieves electrical scanning with higher degree of freedom by introducing a frequency offset between array elements. In view of the problem that in radar direction detection, the interferometer can determine the arrival angle of the radiation signal by obtaining the phase difference of the radiation signal reaching the receiver through the phase comparatorwhich will threaten the safety of radar. Based on the “bending” characteristic of the FDA’s beam pattern, this paper studies the possibility of angle deception in the direction detection of enemy radar. Based on the rangeangle decoupling technologyrealized by FDA using nonlinear frequency offset, we can provethat logFDA and sinFDA can deceive interferometer direction finding under farfield conditions.And the deceptive effect of logFDA is better than that of sinFDA.We can also draw conclusionsthat the deceptive effect will enhance with the increase of frequency offset Δf and the array spacing d.

Abstract:Aimed at the problem that the multifunctional radar behavior state is complicated and difficult to identify, a multifunctional radar behavior data set is constructed, and a method of radar behavior identification based on neural network is proposed. Firstly, the data are preprocessed to extract the parameter characteristics and behavior state characteristics of the multifunction radar from and to establish a mapping relationship between them. Then, the original radar signal pulse sequence is segmented by the Bayesian rule based on the change point detection algorithm, and the missing characteristic parameters are supplemented to construct a complete pulse array sample to train. Finally, the database is enriched by data reasoning, providing reliable data preparation for datadriven intelligent identification method and enhancing the generalization ability of neural network. BP neural network is designed to train and test the characteristics of the processed radar behavior data set. The simulation results show that the trained network model overcomes the influence of noise variables and other disturbances to some extent, and the accuracy can reach 89%.

Abstract:In order to improve the adaptability and defense effectiveness of the platform dynamic defense system to virus, a platform dynamic defense evolution game model and state migration strategy based on the finite rational hypothesis are studied. First, the mechanism of virus transmission and infection is elaborated, and the state migration relationship in the platform dynamic defense is provided. Secondly, the PDD evolutionary game model is established, and immune factors are introduced in the income calculation while the immune characteristics between the migrating platform and the virus type are considered. At last, the flow chart and method of single state evolutionary stability strategy analysis are given in demo, and a novel node state migration strategy are presented as well as the corresponding algorithm. Theoretical analysis and simulation results show that the node state migration evolutionary equilibrium strategy of platform dynamic defense has better efficiency, and can effectively solve the platform migration selection problem of platform dynamic defense system in the case of random attack viruses.

Abstract:As the key of security authentication, physical layer authentication can save the authentication resources of the upper layer to play an important role in improving the utilization of limited resources. In view of solving the problem of low security in the process of physical layer authentication, a physical layer authentication method based on weightedtype fractional Fourier transform and rotation angle of constellation is proposed. With the low interception of WFRFT, weighted fractional Fourier transform physical layer authentication system based on rotation angle of constellation can reduce the recognition probability of authentication signal by increasing the computational complexity without affecting the signal transmission process. The simulation results show that the recognition probability of the signal outputted through the CRWFRFT system can be infinitely close to 0, and the BER can be close to the theoretical value of the original QPSK. The physical layer authentication security of CRWFRFT system is greatly improved, and further the effective transmission of information is ensured.

Abstract:In accordance with the structure characteristics and operation principle of permanent magnet toroidal motor, an expression is derived from its structure parameters and motion parameters as affected to the electromagnetic parameters. A mathematical model of permanent magnet toroidal motor is established and the dynamic characteristics are analyzed by using the state space method. According to the periodic fluctuation of electromagnetic torque and output speed of the motor, the increment of structure parameters and motion parameters is obtained by fuzzy control rules in the speed loop to adjust the parameters of the terminal sliding mode controller. In order to improve the response speed of the permanent magnet toroidal motor, a super twisting sliding mode controller is designed in the torque ring and flux ring by using the direct torque control, and the permanent magnet toroidal motor is controlled by combining the space vector modulation. The simulation results show that the control strategy effectively improves the response speed of the permanent magnet toroidal motor, reduces the fluctuation of the output speed and the electromagnetic torque, obtaining a good control effect.

Abstract:The application of locally repairable codes (LRCs) in distributed storage system can improve the efficiency of repairing lost nodes. The optimal quinary LRCs with a code length of not more than 31 are studied and Four kinds of optimal quinary LRCs and their characterization are given. Firstly, parity check matrixes with good performance of LRCs are constructed by using the distance optimal linear codes and special codes such as Simplex code. For the known LRCs, other LRCs are given by means of shortening, puncturing, adding or deleting column vectors. The results show that these optimal LRCs have minimum distance 2≤d≤8 or d=10 and all the results respect the Singletonlike bound. These results have reference value for the construction of other optimal quinary LRCs and optimal LRCs over general fields.