Study On Optimization Design Method For Typical Wheeled Self-propelled Artillery System

The research and development process of the typical wheeled self-propelled artillery system involves multiple disciplinary knowledge.In allusion to the characteristic,a multidisciplinary design optimization framework for a typical wheeled self-propelled artillery system is constructed to study the multidisciplinary design optimization procedures of the subsystem and the whole of the wheeled self-propelled artillery system,using the modern design theory and method of multidisciplinary design optimization(MDO).The search strategy of MDO is studied.The advantages and disadvantages of standard genetic algorithm and multi-objective genetic algorithm are analyzed.Especially,the fruit fly optimization algorithm is studied.A single objective modified fruit fly optimization(MFOA)is proposed by improving the searching space and the expression for smell concentration judgement value and introducing several sub-swarms to instead of the single swarm.The experiment results shows the global search capability and convergence rate of MFOA are greatly improved.On this basis,an improved multi-objective fruit fly optimization algorithm(MOFOA)is proposed by introducing the concept of fast non-dominated sorting and crowding-distance sorting.Eight different nonlinear test problems are selected as testing functions.The simulation results demonstrate that the proposed MOFOA has a better ability to maintain diversity of solutions and find convergence near the true Pareto-optimal front.A method to establish muzzle velocity degradation model for barrel based on general regression neural network with fruit fly optimization algorithm(FOAGRNN)is proposed.Based on the muzzle velocity degradation experimental data of barrel,a muzzle velocity degradation model is built under different ambient temperature and shooting interval.The result indicates that the model conducted by FOAGRNN method has a good predictive ability and verifies the feasibility of proposed method.The trajectory processes of wheeled self-propelled artillery during firing process are studied.The model of wheeled self-propelled artillery's whole trajectory multidisciplinary design optimization which involves interior ballistics,exterior ballistics and terminal ballistics is set up.Considering maximum lethal area and longest range of projectile as the objectives,the model is optimized by using MOFOA.The result shows that the algorithm can effectively solve the multi-objective engineering optimization problem.Taking the typical components of the fire system of wheeled self-propelled artillery,barrel assembly and recoil mechanism,as the research object,considering the minimum recoil force and minimum barrel mass as objective,the MDO model of barrel assembly-recoil mechanism system is built.The model involves recoil mechanism calculation model,barrel structure model,barrel strength calculation model,barrel life model,and barrel stiffness finite model based on Hypermesh and Abaqus.Single weighted normalized objective optimization and multi-objective optimization are carried out separately.The results show that the performance of barrel assembly-recoil mechanism system is significantly improved.For multi-objective problems,multi-objective algorithm can provide designers with more choices,and can better meet the needs of practical engineering problems.A rigid-flexible coupling firing dynamics simulation model of wheeled self-propelled artillery with flexible barrel is built based on Adams and Abaqus.On this basis,comprehensively considering the effects of firing accuracy,projectile power and space layout of the components on the overall performance,an overall optimization design model of wheeled self-propelled artillery system is built.The optimization model involves interior ballistics,exterior ballistics,terminal ballistics and firing dynamics model of wheeled self-propelled artillery system considering overall layout parameters.Taking minimum muzzle vertical angular velocity as single objective,minimum muzzle vertical angular velocity,the longest range and the largest lethal area as the multi-objective,optimizations are carried out.In comparison with the original design,the overall performance of the wheeled self-propelled artillery 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 wheeled self-propelled artillery system optimization design platform is developed.All the simulation and optimization models,and the supporting software are integrated in the platform.The platform provides a practical,convenient and efficiency supporting environment,and it improves the modeling,simulation and optimization ability of the designers.