Abstract:Based on the phenomenology model of plasma aerodynamic actuation, a macroscopic effect of plasma aerodynamic actuation on fluid is equivalent to body force vector. Mechanism analysis of the effect rule of plasma aerodynamic actuation on 2D film cooling is studied by coupled solution of body force with Navier Stokes equation. The results show that after the cool flow is subject to the plasma aerodynamic actuation near the wall at the exit of film slot, the horizontal velocity component increases greatly while the vertical velocity component gains a little. When the blow ratio increases, the momentum and flux of cool flow and the film cooling effectiveness increase, while the influence of plasma aerodynamic actuation on cooling flow and the increment of film cooling effectiveness decrease. Under the plasma aerodynamic actuation, the film cooling effectiveness decreases when film slot inclination angle increases at each blow ratio. Plasma aerodynamic actuation body force has large impact on film cooling effectiveness, the film cooling effectiveness increases and then decreases with the increase of magnitude of body force, there exists an optimal body force magnitude.

Abstract:The internal environment induced by airplane platform is an actual work environment of the airborne equipment, and the induced environment temperature is a main influence factor on airborne equipment work. Aimed at the problems of modeling and simulation of internal environment temperature induced by airplane platform, the main influence factors are analyzed, and the modeling method of induced temperature is proposed based on similar heat transfer structures classification. The aircraft's similar heat transfer structures are classified as a wing cabin structure, a ring cabin structure, a big cabin structure, an open cabin structure, and a thermal protection structure. The general lumped parameter models of the 5 heat transfer structures are established. Taking Modelica language as a tool, the simulation models of the 5 heat transfer structures are also established. The similar temperature regional division is made taking a certain type aircraft as example, and the 5 heat transfer structure simulation models are used. The internal environmental temperature simulation model of whole airplane platform is established. The simulation result verifies the feasibility of the modeling and simulation method. The simulation results show that the air temperature in the fuselage cabin can be up to 70℃, the temperature in the engine nacelle can be up to 140℃ in short time, and between 90℃~110℃ in long time, the temperature in the engine thermal protection structure can be up to 160℃.

Abstract:Aimed at the contradiction between operational efficiency and resource losses, this paper defines a Meanwhile Combination and a Sequence Combination. The efficiency matrix is utilized to construct a model of the Meanwhile Combination, and the Dynamic Planning and Fuzzy Optimum Selection are utilized to construct a model of the Sequence Combination. In accordance with two optimization targets, i.e. the operational efficiency and the resource losses for battle plan or Meanwhile Combination at each stage, the paper calculates the comprehensive efficiency for each kind of the Sequence Combination. By so doing, this provides an important basis for selecting the attackdefense strategy on maximum comprehensive efficiency. The result shows that the strategy is conformed to the mission requirement and has a certain guiding role.

Abstract:In order to overcome the influence of various disturbance factors and to improve the control effect in the process of glide and flight, an optimal control method for nonlinear stochastic systems is studied. Based on the general control principle of rocket projectiles flight process, a differential form of attitude dynamics model is established. Taking attack angle and yaw angle as observation variables, and rudder reflection angles as control variables, the state equations, the objective function and the control law are deduced. The detailed expression of the adjoint function is put forward. The optimal filter is designed based on the Riccati equation. Control parameter is designed and simulation analysis is carried out with spread glide control point as the feature point. The simulation results show that this controller system responds quickly and has a good control quality.

Abstract:Aimed at the problem that the multi objective particle swarm optimization algorithm in finding the solution easily gets into the local optimum by using the MOPSO algorithm to deal with the weapon target assignment, an improved multi objective quantum behaved particle swarm optimization (MOQPSO) algorithm is proposed. First, the improved MOQPSO algorithm is applied in solving the optimization model of firepower assignment with multilauncher and multiweapon by adjusting encode mode, modifying the position update formulas, introducing Gaussian mutation, and updating the external archives. Next, the improved MOQPSO and MOPSO algorithm are adopted to solve two battle suppositions with different scale. Finally, the convergence of the multiobjective optimization model is compared with that of the single objective optimization model. The simulation results indicate that the computation speed of the improved MOQPSO is about six times faster than that of the MOPSO, and the convergence of the Pareto solutions is high in precision and the diversity is even more, and the effectiveness and superiority of the improved MOQPSO algorithm are verified.

Abstract:A method of evaluation product reliability in consideration of abnormal data removal is proposed in accordance with the abnormal data rejection criteria that the abnormal data caused by the test error and the sample dispersion can be removed. Firstly, the paper obtains a product life data based on extrapolating product pseudo life data by accelerating degradation test data, and the optimal distribution of the life time is determined by the distribution goodness of fit test of the lifetime data. And then, the paper estimates the parameters of the model by utilizing the least square estimation method combined with the normally used acceleration model, converts the pseudo life under the high force into a life value under normal stress level, and removes the unsocial life data according to the abnormal data elimination criteria. At last, the life distribution of the product is obtained by distribution fitting of the life data, and the reliability and the reliable life of the product is evaluated. The applicability and the effectiveness of the proposed method are verified by using a certain type of accelerometer as an example.

Abstract:Time synchronization has been widely used in the distributed system. Clock calibration is the precondition of the time synchronization. Aimed at the problem that in the process of the invalidation of time signal's transmission in the calibration may exist in time synchronization, this paper introduces a clock error prediction into the synchronization system. Simultaneously, to improve precision of error prediction, the paper proposes a model based on GM-BP network. In the combined model, different GM (1,1) models based on observational data of clock errors are built. The models can predict the future clock errors. The paper employs the BP network to combine the prediction results in a nonlinear manner. The time signals transfer via troposcatter imitated by an attenuator to prove the precision of the combined model. The result shows that the accuracy of the combined model is superior to the single model, the error of the new model has a better stability and the precision increases by 53%~95%.

Abstract:In view of the problems that the timeliness exists in command and control square task coordination for multiple seats, and the complex command and control process are described and coded, regarding the task tree and task Gantt chart as a form from the perspective of time and status ,a multiseats task coordination model based on task sequence is established. A temporal logic scheduling algorithm is presented by the free event driven strategy. The living example simulation shows that the algorithm can reduce the free time by 9% and the execution time by 4.6%. The model and the algorithm can well describe and optimize the collaborative process, and reduce the free time and execution time in multiseats task coordination, and improve operational efficiency.

Abstract:Aimed at the problem that binary phase shift keying (BPSK) has 180°phase jump phenomenon, and the traditional definition of instantaneous bandwidth can't reflect the frequency properties of the BPSK. This paper defines the instantaneous bandwidth of BPSK as the second order central moments of time frequency distribution, derives the instantaneous bandwidth of the expression, and obtains the mutation peak value of the instantaneous bandwidth of the phase transition point to the actual interception BPSK generated envelope gap phenomenon. The paper utilizes the envelope gap for realizing the identification of coding mode of BPSK by using threshold detection, and analyzes the influence of the signal related parameters on the depth of envelope gap. The simulation results verify the correctness of the theoretical analysis.

Abstract:Aimed at the problems that the conventional channel allocation mechanism based on multi-bid auction fails to ensure the fairness for cognitive users in using spectrum, this paper proposes a new price mark algorithm based on the theory of utility in microeconomics. This new algorithm takes the effect of the requirement of users' actual bandwidth and waiting time on channel utility into account, and then prices channels equivalently taking the channel utility as a standard to maximize the efficiency of system as well as the numbers of cognitive users who can access this system. The simulation and analysis on the overall efficiency of the system and other key technologies of the systems are carried out by using this algorithm and the traditional algorithm out. The results show that the algorithm can not only get good system efficiency in the case that spectrum resource is sufficient, but also can greatly improve the probability of the disadvantaged users to obtain spectrum resources with good system efficiency, and can improve the system fairness in spectrum resource scarcity.

Abstract:In order to recognize complicated PRI modulation modes, a classify algorithm based on autocorrelation and normalization is proposed. The algorithm defines three characteristic quantities, i.e. density of peak value, intension of monotone and energy of sequence, and the paper sets up feature space after making autocorrelation and normalization to four PRI impulse sequences. By comparing the characteristic quality with the threshold value, PRI modulation mode can recognize automatically. The result shows that the recognition accuracy can reach to 95% when the numbers of pulse are 100 and the SNR is 4 dB, and the recognition accuracy can reach 95.5% when the numbers of pulse are only 80. The algorithm can maintain more than 93% of accuracy when the ratio of the pulselosing reaches 25% and the numbers of impulse are 100.

Abstract:Aimed at the problems that in extracting multipletarget state by PPHD filtering, the traditional K-Means clustering method exists in peak extraction, extended clustering time and incorrect clustering for clusters with different sizes, a new measurement extraction method is proposed based on K-neighborhood membership degree. In the category of measurement, estimation of a target is interrelated with the measurements and the particles, and the distance is used to discard false alarm measurements. The particle distributes to every actual measurement category of each estimation by K neighboring membership degree. On this basis, a new particle set is formulated, and target state can be extracted directly from the set, and there is no need to execute the peak extraction operation. The simulation results show that the proposed method is high in stable retrieval precision, and short in operation time compared with the K means method and free clustering method.

Abstract:Aimed at the problems that in the existing fault propagation models and analysis methods based on qualitative reasoning often neglect the nonstructural failure caused by the drift of performance parameters, this paper proposes a brand new method of fault propagation modeling and analysis, as well as the propagation mechanism, signalaggregation mechanism, influence mechanism, and the reasoning process. In this method, taking the analysis of fault signal strength as a core, the fault signals produced in the source in the connectivity models transmit to each indenture level in the qualitative network model of circuit system through the hierarchical modeling way. Then, the paper adopts the colored qualitative network to evaluate the fault effect and its severity quickly and intuitively. Finally, the paper verifies the practical effect of this method by the autopilot at a certain robot plane.

Abstract:An Analysis of the Performance in Cognitive Relay Networks Based on a Joint Interference Power Constraints

Abstract:Aimed at the problem that the current functional encryption schemes fail to be greatly used the parallel computation ability in the cloud to process large amounts of data, a functional encryption scheme for parallel random access machine is proposed. The scheme allows the data owner to transmit encrypted data once, and authorizes the cloud provider to run parallel algorithm on it. Taking the parallel garbled RAM scheme as a black box, the scheme parallels RAM program hardwired into a circuit, the circuit FE scheme, thus converting any such functional encryption scheme for circuits into a functional encryption for PRAMs. Through the theory analysis, the scheme accomplishes the functional encryption with only poly overhead in the (parallel) running time, and its indistinguishability security is given.

Abstract:A special relation of sidebyside triangles forms between the target tracks and the radars in the air or on the sea. In the view of these special triangles, the paper introduces some definitions of sidebyside triangles on a plane or a sphere, and investigates their geometric theorems and algebraic constraints. Aimed at the problems that target states change and the measurement information exists in shortages, the paper respectively uses the relation between sides and angles of a triangle and the traditional method to design the simulation. The simulation result shows that because of motion model mismatch or big measurement interval, the traditional method has many errors, while the method used by relation between sides and angles of sidebyside triangle draws a better result, and the adaptation and the effectiveness of sidebyside triangle in actual combat are tested and verified.

Abstract:Weight determination is a key problem in studying the decision, the existing weight determination method based on rough set overcomes the shortcomings of relying too heavily on prior knowledge, but it neglects the interaction among attributes. In consideration of the limitations of equivalence relation, this paper focuses on attribute weight determination in the information system based on dominance relation, the importance of attribute determined by information quantity of the attribute set is firstly put forward. And the attribute reductions are acquired based on information quantity, which ensures the distinguish quality at the same time, and simplifies the calculation; Secondly the Shapley value method is initially chosen for the loss of information allocation, and then the attribute weights are determined. The method, taking strict km as basis, fully considers the interaction among attributes and guarantees the fair and reasonable allocation of attribute weights. The example demonstrates the specific operation steps of the Shapley value method used to determine the attribute weights. The method is easily popularized in intuitiveness and operability, provides reference for attribute weights determination in all kinds of information system, and is also a successful cross application of the game theory.

Abstract:To extend the form of process constraints, this paper discusses coupling constraints flexible job shop scheduling problem modeling and scheduling algorithm designing. At the basis of coupling constraint modeling by using formal and graphical presentation of flexible job shop scheduling problem, the paper designs coupling constraints neighborhood structure by selecting the execution steps of taboo search algorithm. Subsequently, the paper verifies applicability and quality of algorithm through coupling constraints example and Brandimarte test date. The research of the coupling constraint modeling and scheduling algorithm designing can provide the solution of multiple components systems scheduling and widens consideration of the research on job shop correlated problem.