Study On Collaborative Simulation And System Optimization Design Method For The Individual Weapon

The research and development process of the weapon subsystem which belongs to integrated individual solider combat system involves multiple disciplinary knowledge. In allusion to the characteristic, the individual weapon system is studied from the perspective of system, using the modern design theory and method of collaborative simulation and multidisciplinary design optimization(MDO).Combined with the tactical and technical requirements, and from the three aspects of structure, ballistics, dynamics, the individual weapon system is decomposed into eight disciplinary fields, which are grenade structure, weapon structure, interior ballistics, exterior ballistics, terminal ballistics, automatic mechanism dynamics, projectile-barrel dynamics and human-gun interaction. The single field simulation models are build according to their own knowledge. On this basis, in order to study the overall performance of the individual weapon system for the global perspective, the framework of collaborative simulation and MDO is build.The search strategy of MDO and especially the genetic algorithm(GA) is studied. In order to improve the optimization efficiency of GA, some improvement measures are taken, and the adaptive parallel immune genetic algorithm(APIGA) is proposed. The algorithm is parallelized and the crossover and mutation operator are adaptively changed during the optimization. Combined with the immunology theory, the immune operator is brought into the algorithm. With the APIGA, three complex multimodal function are optimized. The results show that the convergence rate is greatly improved under the condition of enough convergence precision.Based on the collaborative simulation framework of individual weapon system and the collaborative simulation theory and method, the simulation models of the whole trajectory, trajectory-weapon system and human-gun system are built. The simulation models are executed and the effects of design parameters are analyzed. The validity and accuracy of the collaborative simulation models are verified by comparing the simulation and experimental results.According to the MDO framework of individual weapon system, the optimization model of small caliber grenade which involves structure, interior ballistics, exterior ballistics, terminal ballistics and dynamics is set up. Separately aimed at the maximum lethal power, the minimum time of the grenade flying, the combination properties of lethal power and recoil force, the model is optimized and the target performances enhanced remarkably after the optimization compared to the original design. The simulated annealing algorithm and APIGA are used respectively when the combination properties of lethal power and recoil force is optimized. Judging from the optimization results, the optimization ability and efficiency of the APIGA is much better.To study the process of the projectile moving inner the barrel, the parametric dynamics finite element model of projectile-barrel is built, and it’s validity and accuracy is verified. Considering the compute efficiency of the optimization which contains the finite element model, the Kriging approximation model of the projectile-barrel dynamics model is built based on the orthogonal designs. The MDO model of projectile-barrel coupling system which involves interiors ballistics, barrel mass, barrel strength and projectile-barrel dynamics model is set up. Aiming at the lightest mass and the minimum angular velocity of barrel vertical vibration, the model is optimized and the optimal scheme of the system is obtained.In allusion to the interaction of human and gun when the weapon is firing, the MDO model of human-gun system which involves weapon structure, interior ballistics, exterior ballistics and interaction of human-gun is build. Considering the minimum recoil force, the lightest mass and the shortest time of the bullet flying as the objectives, single objective and multi-objectives optimization are carried out. In comparison with the original design, the performance of the individual weapon system is improved efficiently after the optimization. Compared to the single objective optimization, the multi-objective optimization avoids the phenomenon that a single objective is optimized and the others are degraded seriously simultaneously.The collaborative simulation and MDO platform is developed. All the simulation&optimization models, and the supporting software are integrated and packaged in the platform. Based on the technique of network and database, the design parameters and the models are managed unified and the design terminals are distributed performed. The platform provides a practical, convenient, efficiency and safe design supporting environment, and it improves the modeling, simulation and optimization ability of the designers.