
A path planning method for Unmanned Aerial Vehicles (UAV) was proposed based on the online Support Vector Machine(SVM) to ensure UAVs reach the destination safely with the minimum probability of being found and through the shortest path.Firstlythe mathematic model was established and analyzed for the path planning of UAV considering the various constraints.The initial path was given by using A* algorithm to obtain the sample data for UAV.On the basis of the initial paththe online SVMwhich has the features of online traininghigh precision modelsmall training sample and strong approximation abilitywas employed to optimize the path of UAV.Finallythe path planning based on the online SVM was used to the simulation of path planning for UAV.The simulation results proved the effectiveness of the proposed method.
For determining the optimum parameters of the transformation function in nonlinear image enhancement processingintelligent optimization algorithm is usually used for automatic optimizationin which the fitness function has great influence on the optimizing performance and image enhancement effect.Generallyonly image energy is included in fitness function for image quality assessment.In factthere are several other important factors as information entropyfirmnessthe change between signal and noiseand pixel difference and so on.Taking full account of the 5 factors above and considering both the global and local imageboth the whole structure and small detailswe designed a new fitness function.The new fitness function was used in genetic algorithm and particle swarm optimization to enhance the imageand the experiment results showed that the algorithm has fine selfadaptabilityand the enhancing quality is improved significantly.
The avionic system is developing towards integrationwhich brings a new challenge to failure prediction technology.Integration features of the avionic system were analyzed and structures for failure prediction of avionic products were presentedincluding modelbased structuredata driven structure and integrated prediction structure.Common features of these structures and their typical application in the field of aviation were discussed.On the basis of whichand according to requirement of integration features and the applicability of structures for failure prediction of avionic productssome problems facing the failure prediction of integrated avionic system were analyzedand preliminary solutions were proposed.
A novel routing strategy is proposed to satisfy the various service demands on hard realtime sporadic occurrencehard realtime periodicity and soft realtime in Fiber Channel.This routing strategy gives prior guarantee to the endtoend delay of tasks with higher priority.The conjugate network calculustransforming the Minplus convolution of cascade service curve into addition in transform domainis applied to analyze the delay upperbound in those worst cases.Thus a simplified method is given to calculate the service curve of multiple nodes.In the endan example adopting the above approach is given to achieve the path routing scheme.The simulation results indicate that the delay upperbound of high priority tasks using proposed approach is much lower than that of tasks using no priority classification.
In view of such problems of aircraft in high maneuvering flight as the uncertain aerodynamic parametersso many unknown external interference factors and possible errors in system modelinga nonlinear adaptive backsteeping controller based on RBF neural network was designed.The generalized uncertainty of aircraft in high maneuvering flight was online approximated by RBF neural networkand the weight matrix of neural network was online updated by adaptive law.The “terms explosion” problem in backstepping design caused by repeated derivation of the virtual control law was solved through introducing a first order filter.By construction of Lyapunov functionit was proved that all signals in the closedloop system were bounded and the tracking error was converged to a small neighborhood around zero.High maneuvering flight simulation of some aircraft was carried outand results showed that the designed controller has good tracking effectiveness and robustness.
Considering the requirement of largescale living 3D terrains resource for simulation trainingwe proposed a new method that using Google Earth as the training reconnaissance environment.The implementation of the simulation training system was presented.Several key technological problems in the development of the system were solvedand function extension was realized.Experiments showed that this method is feasibleand can implement steady training mission simulation.The design may provide a reference for the other simulation systems.
Future airspace window shooting system was born to intercept maneuvering targetswhich was designed and constructed by reasonable configuration of the projectile dispersion centre.A new configuration method of projectile dispersion center named spreadingangleequaldividing method was presentedand a corrected formula for calculating the radius of airspace window was also givenwhich solved the problem of low calculation accuracy of existing methods.Simulation example was taken to verify its effect and the simulation result showed that the spreadingangleequaldividing method improves the flatness in airspace window and enlarges its effective areawhich is suitable to configure the projectile dispersion center in future airspace window.
As a novel and complicated system engineeringplugandplay weapon integration is the development trend of airborne weapon system.Research and application status in this field at home and aboard were analyzedand the focus was put on the technical base involved in plugandplay weapon integration.In view of stores management system designcritical links which shall be considered in the plugandplay weapon integration were analyzed and studied.
False information transmission flaw in Integrated Modular Avionics (IMA) system would seriously impact the aircraft safety.To improve the integrity of IMA system time transmissiona highsafety time management technology for IMA system was put forwardby which all published data on IMA platform will be transferred to subscribers as requested at one designated time window.By using multitime management servicedeviation table between each subsystem and time management service was set upto identify the relationship between local time reference (LTR) and the time reference of each remote subsystem communicating with LTR.The time management technology provides subsystems hosted in IMA with highsafety time synchronization mechanismcoordinates the separated hosted subsystems to safely execute a task togetherthus can satisfy the time synchronization and safety requirements of IMA system.
In modern warfarethe key to winning is sharing information among combat unitsthus to achieve synchronous operations.Data link can provide intelligence information exchange among multipleplatformsand is the connecting bond of sensor grid for networkcentric warwhose application determines the level and ability of information warfare in a significant sense.In this paperthe application of data link technology in airborne electrooptical pod was studiedand a design proposal meeting actual demands was put forward.
For airborne pulse Doppler (PD) radarthe blind Doppler zone (BDZ) is inevitable. To solve the problem of tracking maneuvering targets in BDZa joint tracking algorithm of radar and Electronic Support Measure (ESM) based on extended Kalman particle filter (IMMEPF) was presentedwhich combined the advantages of interactive multiple model (EMM)particle filter (PF) and extended Kalman filter (EKF)and adopted multimodel structure to match the targets movement model. Particle filter was capable of handling the nonlinearnonGaussian problemand EKF was used to generate particle.The particle distribution was closer to a posterior probability density distribution due to its consideration of current measurementswhich overcame the particle degradation phenomenonthus improving the estimation accuracy. Simulation results showed that the given algorithm could significantly improve the tracking accuracy of targets hidden in BDZ.
Based on analysis to the characteristics of electrooptical systemthe application of electrooptical system in stealth aircrafts of foreign countries is introduced.The influences of different windows on stealth performance of the electrooptical systems are analyzedand the results of RCS simulations are given.