Table of Content

31 December 2018, Volume 39 Issue 12

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Contents

Contents

2018, 39(12):  0. 

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Paper

A Penetration Model for Tunsgsten-copper Shaped Charge Jet with Non-constant Density

WANG Fang, JIANG Jian-wei, MEN Jian-bing

2018, 39(12):  2289-2297.  doi:10.3969/j.issn.1000-1093.2018.12.001

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Tungsten-copper (W-Cu) is a friction-bonded two-phase composite material with relative low interface bonding forces. A density deficit caused by phase separation and transient vacancy is often observed in W-Cu jet. Traditional penetration models are mainly based on the constant-density assumption neglecting the microstructural changes in shaped charge jet, which may trigger a considerable calculation error in the penetration prediction of W-Cu jet with non-cosntant density. A modified virtual origin penetration model for W-Cu jet is proposed by introducing the density and speed functions of jet, in which both material compressibility and composition gradient are considered. Based on a typical shaped charge structure, the true density distribution of 75wt%W-Cu jet was obtained, and the calculated penetration depth was validated by the experiment. The results show that the W-Cu penetration model can greatly improve the calculation accuracy compared with the traditional virtual origin model and partially modified model. Key

Prediction and Optimization of Round Beam Gear Position Tolerance for Rotating Machinery Assembly Using Boundary Circle Method

YAN Qing-dong， CHEN Xiu-qi， WEI Wei， HUANG Jing-qiu， YANG Qi-fu

2018, 39(12):  2298-2305.  doi:10.3969/j.issn.1000-1093.2018.12.002

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The various types of error coupling transmission mechanisms and the dimensional tolerance optimization design of multi-faceted shafting assembly are analyzed by taking the multi-faceted shafting assembly as the research object. Monte Carlo method is used to simulate the measured size of assemly ring, and the mean value of radial run-out tolerance and its distribution law are obtained. A prediction method for the radial circle run-out of variable boundary circle is proposed, and the integrated cumulative error including the coaxiality and the matching tolerance of shaft hole is established. This method is extended to the assembly error modeling of complex assembly to realize the prediction of the radial run-out tolerance in the design. With the goal of accumulating the radial runout at the end of the assembly, the average assembly accuracy, assembly reliability, and processing cost are set as constraints, and the optimization of system structure and its component tolerances is performed. Taking the design of a certain type of torque converter as an example, the feasibility and practicability of this method for predicting the cumulative radial run-out tolerance of the shaft system are verified. Key

Feature of Linear Quantum Information Entropy for Vibration Signals of Planetary Transmission Gearbox

DING Chuang, FENG Fu-zhou, ZHANG Bing-zhi, WU Shou-jun

2018, 39(12):  2306-2312.  doi:10.3969/j.issn.1000-1093.2018.12.003

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For the nonlinearity and unstability of planetary gearbox vibration, as well as the weak fault feature during its operation, the quantum theory is introduced into calculation of information entropy, and a new feature extraction method—linear quantum information entropy (LQE) is proposed. The basic concepts of quantum theory and the linear quantum bit expression of vibration signals are introduced, and a multi-qubit system for vibration signals is established. Then a linear quantum information entropy algorithm is proposed based on the expression of multi-qubit signals. A planetary gearbox fault simulation test is performed, and the linear quantum information entropy of five state vibration signals collected by the test is solved. The calculated result of linear quantum information entropy is compared with the calculated results of time-frequency entropy (TFE), permutation entropy (PE) and sample entropy (SE). The result indicates that the linear quantum information entropy can be used effectively to extract the operating characteristics of planetary gearboxes. Key

Research on a New Eddy Current-hydrodynamic Hybrid Retarder for Tracked Vehicle

TIAN Jin-shan， LI De-sheng， NING Ke-yan， FANG Qing-feng， YE Le-zhi， ZHANG Kai

2018, 39(12):  2313-2319.  doi:10.3969/j.issn.1000-1093.2018.12.004

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The fast response and high power density for all-speed of auxiliary braking system are required for tracked vehicle, but the existing hydrodynamic retarder can hardly meet the demand. An eddy current-hydrodynamic hybrid retarder (EHR) is presented based on the complementary characteristics of eddy current and hydrodynamic retarter. The speed characteristic of EHR is predicted through numerical simulation. The best braking characteristics were obtained by developing the control strategy of EHR. The result shows that EHR can respond within 0.2 s, depending on the eddy current brake. It mainly relies on the eddy current brake at the rotating speed of less than 600 rpm, and depends on its eddy current and hydrodynamic braking performance at the other rotating speeds. HER may provide 280 kW braking power at 1 000 rpm. Key

Research on the Influence of Damaged Bore of a Large Caliber Machine Gun on Bullet Engraving Progress

SHEN Chao, ZHOU Ke-dong, LU Ye, QIAO Zi-ping

2018, 39(12):  2320-2329.  doi:10.3969/j.issn.1000-1093.2018.12.005

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In order to study the influence of damaged bore on the dynamic engraving process and find the key factors significantly influencing a barrel life, the accurate finite element analysis (FEA) models of large caliber machine gun barrels in different life periods are established based on the evolution rule of bore damage obtained through a large number of firing tests. The data of bullet surface morphology and moving posture during engraving process are obtained through numerical simulation which combines the interior ballistic process and the explicit finite element method through Fortran subroutines. The coupled model of bullet and gun barrel is proved to be effective by comparing the calculated results with experimental results. The simulated results show that three major influencing factors, such as the increase in the offset of bullet mass center and the swing angle of bullet, the variation in bullet surface topography and aerodynamic parameters, and the reduction in the driving side force and rotational velocity of bullet due to the severely damaged driving side, result in the reduction in exterior ballistic flight stability and the barrel life end. Key

Influence of Load Impedance Characteristics on Transmission Performance of Fuze Wireless Setting System Based on MagneticResonance Coupling

CAO Juan, ZHANG He, WANG Xiao-feng, MIAO Dong-hui

2018, 39(12):  2330-2337.  doi:10.3969/j.issn.1000-1093.2018.12.006

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The load impedance characteristics of receiver have an important influence on the power transmission performance of fuze setting system. For this problem, a circuit model of a magnetic resonance coupling wireless setting system under condition of non-pure resistance load is established. The influence rules of load impedance characteristics on the transmission performance of the system are analyzed theoretically and experimentally. The result shows that the capacitive or inductive component of the load causes the resonant frequency to be offset and affects the transmission performance adversely. The basic reason is that the load impedance results in the variation of equivalent capacitance or inductance in the relay circuit through coupling mapping. When the impedance angle of load is less than zero, the resonant frequency is shifted downward and decreased. With the increase in impedance angle, the frequency offset and its influence on the transmission performance are gradually diminished. This influence can be ignored when the capacitance increases to a certain value. When the impedance angle is greater than zero, the resonant frequency offset is opposite. With the increase in inductance value, the negative influence is becoming more and more serious, which will eventually destroy the resonant coupling state of the system, causing the failure of setting. The proposed model is proved to be correct, and the theoretical result is consistent with the experimental result. Key

Statistical Probability Density Distribution of Azimuth Dynamic Detection Based on Laser and Magnetism

GAN Lin， ZHANG He

2018, 39(12):  2338-2344.  doi:10.3969/j.issn.1000-1093.2018.12.007

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For the omnidirectional precise detection problem of short-range incoming target, a method of laser-magnetism combination azimuth measurement is proposed based on laser short-range detection theory and magnetism proximity sensation theory. The short-range detection pulse laser signal model and rotational scanning equivalent magnetic charge mathematical model are established. The Monte Carlo method is used to study the statistical distribution of azimuth measurements in the simulation experiment. The influences of sensor-to-magnetic core spacing, rotation scan detection period and signal detection threshold on the statistical distribution of azimuth measurements are analyzed. The results show that the probability density distribution of azimuth measurement shifts to the left with the increase in the distance between the sensor and the magnetic core, the full width half maximum increases, and the mean value deviates from the true value; the peak value of angular distribution increases with the increase in the rotating scanning speed; as the threshold increases, the angular distribution becomes concentrated, thus reaching the maximum and then tending to disperse, and the front and back angular distribution curves show different rising and falling edges.Key

Experimental Research on Influence of Oxidant Injection Area on the Propagation Characteristics of Continuous RotatingDetonation Wave

WEI Wan-li， WENG Chun-sheng， WU Yu-wen， ZHENG Quan， LI Bao-xing

2018, 39(12):  2345-2353.  doi:10.3969/j.issn.1000-1093.2018.12.008

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A series of experimental study of continuous rotating detonation engine (CRDE) with orifice-slit injection mode, which utilizes H₂ as fuel and air as oxidant, were carried out to study the influence of oxidant injection area on the propagation characteristics of continuous rotating detonation wave . Based on the high-frequency pressure signal in the combustion chamber and the pressure signal in the oxidant chamber, the influence of oxidant injection area on the propagation, velocity loss, stability and wavefront height of detonation wave is analyzed in detail. The experimental results show that, when the mass flow rate of propellant remains constant, the loss of propagation velocity of detonation wave becomes larger, the stability of propagation velocity of detonation wave becomes worse, and the wavefront height of detonation wave decreases with the increase in oxidant injection area. When the oxidant injection area is 217.1 mm² and the equivalent ratio is 0.9, the average velocity of detonation wave reaches 1 800 m/s, which is 93% of the theoretical Chapman-Jouguet (CJ) velocity, and the stability of detonation wave is also the best. When the oxidant injection area remains constant, the stability of detonation wave first increases and then decreases with the increase in equivalence ratio. Key

Effect of Injection Pressure on Propagation of Plasma Jet in Liquid

LIU Yi, YU Yong-gang, MANG Shan-shan

2018, 39(12):  2354-2362.  doi:10.3969/j.issn.1000-1093.2018.12.009

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The injection pressure of plasma jet has a great effect on the plasma-liquid interaction during the interior ballistic process of liquid propellant electro-thermal chemical gun. An experiment of plasma jet propagating in cylindrical chamber filled with liquid was made, and a two-dimensional axisymmetric unsteady mathematical physics model of plasma-liquid interaction process is established. The numerical calculation was carried on. The calculated result is in good agreement with the experimental result. The effect of injection pressure on plasma expansion characteristics and flow field distribution characteristics is discussed. The results show that the necking phenomenon and the alternate distribution structure of the high and low pressures appear near the nozzle. A high pressure region is generated at the head of plasma jet, and a low pressure region is generated at the side of plasma jet. During expansion, the plasma jet gradually changes from oval shape to spindle-like shape. The main vortex in the plasma jet becomes larger and moves downstream. The higher the injection pressure is, the greater the axial expansion ability of Taylor cavity is, and the axial length is exponentially increased. At the same time, the faster does the high pressure region at the head of plasma jet move, the more later does the low pressure region at the side of plasma jet appear; the main vortex is bigger and the temperature fluctuation is stronger. Increasing the injection pressure of plasma jet can enhance the expanding ability of plasma jet, but it is not conducive to its expanding stability. Key

An Approximation Algorithm of Gravity Anomaly along Flight Trajectory

ZHOU Huan, DING Zhi-jian, ZHENG Wei

2018, 39(12):  2363-2370.  doi:10.3969/j.issn.1000-1093.2018.12.010

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An approximation algorithm of gravity anomaly along flight trajectory based on the net function theory is proposed. The factors that affect the approximation precision are analyzed, and the approximated error is deduced. The impact point errors due to approximated errors for trajectories with different ranges, azimuth angles and launching points are calculated. The results show that an average approximated error and a consequent ballistic impact point error are controlled wthin about 10^-2 mgal and 8m, respectively, when memory space is about 1 000 data for a 12 000 km-range trajectory. The modest memory requirement and vastly decreased computational time allow the proposed method to apply to onboard computations of gravity anomaly along any trajectory. Key

Optimization of Reconstruction Model for Gravity Anomaly along Glide Trajectory

ZHOU Huan, DING Zhi-jian, ZHENG Wei

2018, 39(12):  2371-2379.  doi:10.3969/j.issn.1000-1093.2018.12.011

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A fast computation scheme and its reconstruction model for the gravity anomaly along glide trajectories of a hypersonic vehicle are initially proposed. An optimization algorithm for the reconstruction model based on multi-island genetic algorithm is developed. To reduce the computational scale of optimization, an agent model is established based on the optimal Latin hypercube method and radial basis function (RBF) neural networks. Simulations indicate that the proposed reconstruction model possesses enough adaptability for the multiple case of involving several no-fly zones. Considering the capability limitation of onboard computer, the trajectory precision can be enhanced effectively by employing this model. Based on the proposed optimization algorithm, the model with a lightest memory burden on the trajectory precision requirement and the model with a highest trajectory precision on the memory size requirement are both achieved. Key

Design of Three-loop Autopilot with Singular Perturbation Margin

ZHANG Heng-hao

2018, 39(12):  2380-2388.  doi:10.3969/j.issn.1000-1093.2018.12.012

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A new three-loop autopilot with singular perturbation margin is designed for the problem that the traditional three-loop autopilot can not insufficiently restrain the open-loop crossover frequency in engineering application. The proposed design method is used to introduce the singular perturbation margin information into three-loop autopilot. The densign and predictor-corrector of pole open-loop crossover frequency is made for three-loop autopilot, enabling the three-loop autopilot system to restrain the open-loop crossover frequency effectively without depending on the close-loop auto-oscillation frequency of control system. The calculated singular perturbation margin value can show the performance of control system. The experimental result shows that the three-loop autopilot system with singular perturbation margin can overcome the disadvantages of the traditional three-loop autopilot. The improved autopilot can restrain the interferential information effectively and quickly, and the work efficiency of control system can be shown from singular perturbation value. Key

Guidance Law with Impact Angle Constraint Based on Continuous Second-order Sliding Mode

ZHANG Wen-guang, YI Wen-jun, GUAN Jun, YUAN Dan-dan

2018, 39(12):  2389-2398.  doi:10.3969/j.issn.1000-1093.2018.12.013

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A new guidance law is designed by combining a sliding mode disturbance observer with a novel continuous second-order sliding mode, in which maneuvering target can be intercepted with demanded impact angle. A sliding mode disturbance observer based on the super-twisting algorithm is designed to estimate an unknown target acceleration. Unlike traditional boundary layer control technique, the proposed method avoids the chattering problem while meeting the control precision. The stability of closed-loop guidance system within a finite time is demonstrated based on Lyapunov stability criterion. Theoretical analysis and numerical simulation show that the proposed method can be used to intercept a maneuvering target, and a wide range of impact angle constraint is achieved. Key

Identification of Shooter Model Using Maximum Likelihood Estimation and Hybrid Gradient Optimization

WU Jun-xiong, LIN De-fu, WANG Hui, YUAN Yi-fang

2018, 39(12):  2399-2409.  doi:10.3969/j.issn.1000-1093.2018.12.014

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The response of the shooter to the photoelectric display and his control behavior during fiber optical guidance have direct effect on the guidance performance of missile. The maximum likelihood estimation method is used in the identification of shooter model. For the nonlinear optimization in the identification process, a hybrid optimization strategy, which is combined of genetic algorithm and Gauss-Newton optimization, is used to increase the probability of finding the global optimal solution, and the robustness of strategy is enhanced with simplex method. An accurate model for seeker control based on crossover principle is proposed, a simulator is designed to perform multiple human-in-the-loop experiments, and the maximum likelihood estimation is successfully applied to the test data in terms of output error. The results shows that the hybrid optimization algorithm can be used to find the global optimum, and the accurate estimates of shooter model can be obtained. Key

Experimental and Constitutive Model on Dynamic Compressive Mechanical Properties of Aluminum Foams under RepeatedImpacts

GAO Hua， XIONG Chao， YIN Jun-hui

2018, 39(12):  2410-2419.  doi:10.3969/j.issn.1000-1093.2018.12.015

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In order to investigate the dynamic mechanical properties of aluminum foams under repeated impact loading, the impact tests were performed using spilt Hopkinson pressure bar. The effect of cumulative damage on the dynamic mechanical properties and energy absorption characteristics of the material is studied by analyzing the changes of damage morphology, wave transmittance, stress-strain curve and energy absorption efficiency of aluminum foams with the number of impact loading. The results show that, with the increase in impact time, the cell structure in aluminum foam collapses progressively, the attenuation of stress wave weakens, the elastic limit stress and corresponding strain are enhanced, and the cumulative effect of damage on aluminum foams under repeated impact is helpful to improve the ideal energy absorption efficiency. Based on the measured stress-strain curves , the damage accumulative variables are introduced into the Sherwood-Frost equation. A damage cumulative constitutive model of aluminum foams under repeated impact is established. the influence of the difference between the damage cumulative energy corresponding to the reference curve of shape function and the cumulative energy in multiple impact test on the prediction accuracy of the constitutive model is analyzed and is experimentally verified. Key

Specific Emitter Identification Based on Deep Reinforcement Learning

LENG Peng-fei， XU Chao-yang

2018, 39(12):  2420-2426.  doi:10.3969/j.issn.1000-1093.2018.12.016

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A specific emitter identification (SEI) method based on deep reinforcement learning is proposed on account of the deficiency of emitter individual feature extraction depending on artificial experience. Due to the differences of the transient information of signal envelope, which results from the change of the signal owing to a nonideal transmitter channel, an envelope rising edge is used as the input state of deep neural network, and the emitter classifications are used as the optional actions of the current input state. The envelope features are extracted automatically through the convolutional neural network (CNN), and Q values of the current state action pairs are fitted, thus completing the specific emitter identification task based on the reinforcement learning model. The applications of deep Q network (DQN), deep double Q network (DDQN) and Dueling network in the specific emitter identification are discussed. The measured results show that the recognition rate of traditional machine learning algorithm is less than 80%, but the deep reinforcement learning model can achieve the high recognition rate of 98.42%. Key

Switching-line-of-sight-guidance-based Robust Adaptive Path-following Control for Underactuated Unmanned Surface Vehicles

ZENG Jiang-feng， WAN Lei， LI Yue-ming， ZHANG Ying-hao， ZHANG Zi-yang， CHEN Guo-fang

2018, 39(12):  2427-2437.  doi:10.3969/j.issn.1000-1093.2018.12.017

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A robust adaptive control method is proposed for the way-point-based path following control of underactuated unmanned surface vehicles (USVs). A switching line-of-sight (LOS) guidance law is designed to keep USV always running to a desired path with the best LOS circle radius. Switching LOS guidance law has the advantages of less computing burden and faster convergence compared to the traditional guidance methods. Considering the system uncertainties of vehicle and the unknown time-varying disturbances, a composite neural network controller is developed to enhance the robustness of the system. The approximation accuracy of network is improved by adding the predicted error information in the network input. The number of online adaptive parameters is reduced, which effectively lightens the computing burden, by using the minimal learning parameter techniques to optimize the network structure. The stability of system is analyzed based on the Lyapunov theory. The simulated results are presented to demonstrate the effectiveness of the proposed control strategy. Key

Comparative Experimental Study of Anti-explosion Performance of Compound Protective Liquid Cabin

KONG Xiang-shao， WANG Xu-yang， XU Jing-bo ， ZHENG Cheng， XU Shuang-xi, YUAN Tian, WU Wei-guo

2018, 39(12):  2438-2449.  doi:10.3969/j.issn.1000-1093.2018.12.018

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The liquid cabin with multi-layer protective structure plays an important role in defending the loadings of combined high-speed fragments and blast wave, which are usually due to the close-in explosion of a cast charge, and cause severe damage to the structure of liquid cabin. A new composite structure of liquid cabin is designed based on the dynamic response characteristics and failure mode of liquid cabin under the synergistic effect of high-speed fragments and blast wave. In order to investigate the anti-blast performance of composite liquid cabin, the traditional liquid cabin and newly designed composite liquid cabin are experimentally test under the blast load of cased charge. The fragment velocity, bulkhead deformation, perforation size, strain and shock wave pressure are obtained. The experimental data are analyzed and compared.It is found that, in the composite liquid cabin, the maximum deformations of front and rear bulkheads are decreased by 22.78% and 8.47%, respectively, the plastic strain is decreased by 30%, and the shock wave peak is decreased by 18.62%. Key

Research on Friction Behavior of Self-lubricating Steel of Bullet Jacket

HU Chun-dong, DONG Han, ZHAO Hong-shan, XIANG Duo-lun, WANG Jun-hong, LI Jun-song

2018, 39(12):  2450-2458.  doi:10.3969/j.issn.1000-1093.2018.12.019

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In order to reduce the frictional wear of barrel bore and enhance the lifetime of gun barrel, a method of pin-on-disc friction mode is used to simulate the friction between bullet jacket and barrel bore. The friction surfaces of disc and pin are characterized by using scanning electron microscope and optical profilometer, respectively. The friction behaviors of regular bullet jacket material and self-lubricating bullet jacket steel on Cr layer are investigated, and the mechanism of self-lubrication is discussed. Results show that, for the regular bullet jacket material with increased hardness (from 161 to 227HV0.2), the frictional coefficient decreases slowly (around 11%) at room temperature and varies slightly at 700 ℃, indicating that the increase in hardness is not an effective way to decrease the frictional coefficient. When S and Pb are added into the ultra-low carbon steel (223HV0.2), the solid lubricants of sulfide and Pb can be formed, resulting in reducing the frictional coefficient by 25% at room temperature and 23%-34% at 700 ℃, which effectively reduces the friction wear of Cr layer. Key

Research on the Construction Method of Human Body Posture Examples Based on Improved Flower Pollination Algorithm andK-means

XU Da, JIAO Qing-long

2018, 39(12):  2459-2469.  doi:10.3969/j.issn.1000-1093.2018.12.020

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For the poor task pertinence of present construction methods of human body posture examples in the simulation verification of equipment maintainability, a construction method of human body posture examples based on improved flower pollination algorithm (IFPA) and K-means is proposed. An IFPA is proposed by introducing the crow search algorithm (CSA) into FPA in order to improve the optimization accuracy of FPA. Test results show that IFPA can achieve wider search space and higher optimization accuracy compared with particle swarm optimization (PSO) and FPA. In order to avoid K-means falling into locally optimal solutions easily, the calculation steps of IFPA are designed by proposing an individual encoding method and defining an individual operation function, and IFPA is combined with K-means to deal with the clustering problem of maintenance postures of maintenance staff. The central data of each cluster is extracted, and it is taken as the input data of part activity of human body posture examples. And the human body posture examples having task pertinence for equipment maintainability simulation verification are constructed. Test results show that the proposed construction method for the human body posture examples based on PSO and K-means has better optimization accuracy and clustering effects compared with the other five construction methods, and it is suitable for the engineering practice of equipment maintainability simulation verification. Key

Gradient Descent-based Aiming Point Solving Method for Area Firing in Discrete Probability Space

JIA Zheng-rong, WANG Hang-yu, LU Fa-xing

2018, 39(12):  2470-2479.  doi:10.3969/j.issn.1000-1093.2018.12.021

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A gradient descent-based aiming point solving method for area firing in discrete probability space is presented to enhance the applicability of area firing method and solve the area firing aim points in the case of irregular distribution of targets. The target distribution probability in discrete probability space is described to adapt to irregular target distribution. The optimal intermediate function in discrete probability space is deduced using the variational method. The analytical gradient function of index is deduced by setting the norm of difference value between practical intermediate function and optimal intermediate function as index function. An aim point solving model is constructed based on gradient descent method. The geometric method, function-approximation method and gradient descent method are used to obtain the distributions of aiming points under the equivalent initial condition for different target distributions, respectively. The results show that the gradient descent method has better applicability, faster solving speed and higher degree of optimization for solving the aim-points configuration for area firing under the condition of irregular target distribution. Key

Design Method of Captive Trajectory System for Wind Tunnel Experiment

HE Yun, ZHANG Fei-long, XU Zhi-gang, LIU Zhe

2018, 39(12):  2480-2487.  doi:10.3969/j.issn.1000-1093.2018.12.022

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In order to evaluate the characteristics of separation of external stores from aircraft, a captive trajectory simulation system for transonic speed wind tunnel test is designed to simulate the trajectory of external stores released from an aircraft. A six-degrees-of-freedom series robot is designed for capturing the trajectory of external stores, and the position accuracy of pneumatic load is analyzed by using the finite element method.The kinematics analysis of robot is carried out, and a controller for captive trajectory simulation system of external stores is designed according to the dynamic equation of external stores. The motion space of robot is simulated and analyzed. The trajectory of a external store and its trajectory captured by the robot arm are simulated. The results show that the allowable experimental time of system is more than 0.8 s, and the captive trajectory errors of external stores captured by robot are less than 1 mm, which meets the requirements of experimental accuracy. The authenticity of trajectory of external stores simulated by captive trajectory simulation system in wind tunnel test is theoretically verified. Key

Evaluation of Equipment Contribution Rate to System-of-systems Based on Hybrid Parameter Evidential Network

LUO Cheng-kun, CHEN Yun-xiang, ZHANG Yang-ming, CHANG Zheng, ZHU Qiang

2018, 39(12):  2488-2496.  doi:10.3969/j.issn.1000-1093.2018.12.023

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An evaluation method of equipment contribution rate to system-of-systems based on hybrid parameter evidential network is proposed for the complicated correlation between the capability of equipment system-of-systems and the uncertainty of evaluating information. An evidential network structure model for evaluation of equipment contribution rate to system-of-systems is constructed based on the correlation between the capabilities of the same level. The requirement satisfactory degree evaluation methods for evaluating the capabilities of the same level based on conditional belief parameter model and the cross-level based on belief rule parameter model are proposed, respectively, and an evaluation model of equipment contribution rate to system-of-systems is established according to the utility function. An anti-aircraft carrier equipment system-of-systems is modeled and analyzed.The results show that the proposed method can reflect the emergence of the overall capability of equipment system-of-systems, and can evaluate the equipment contribution rate to system-of-systems comprehensively and objectively. Key