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建立了空气舵系统及其连接刚度的有限元模型,采用多目标优化算法识别空气舵系统连接刚度。基于模拟进化算法,通过在群体搜索中引入精英保留策略,采用了新的适应度计算方法,在保证算法全局搜索性和收敛性的同时,降低了进化算法的计算成本,为避免在优化过程中出现维数过高带来的算法时间和空间复杂度大大增加的问题,将各目标函数合并为两个总目标函数。对空气舵系统的连接刚度进行了识别,采用识别结果计算的空气舵系统频率和振型均接近试验结果。根据颤振模态频率和衰减率随空速的变化规律,发展了新的颤振模态跟踪技术,可以有效避免气动弹性系统的特征根轨迹曲线发生“窜支”现象。
The air rudder system and the finite element model of the connection stiffness are established. The multi-objective optimization algorithm is used to identify the connection stiffness of the air-rudder system. Based on the simulated evolutionary algorithm, the elitist retention strategy is introduced into the population search, and a new fitness calculation method is adopted to reduce the computational cost of the evolutionary algorithm while ensuring global searching and convergence of the algorithm. In order to avoid the optimization algorithm The dimensionality is too high to bring the algorithm greatly increased the time and space complexity of the problem, the objective function is combined into two total objective function. The connection stiffness of the air-rudder system was identified. The frequencies and modes of the air-rudder system calculated by the recognition results were close to the experimental results. According to the variation law of the frequency and attenuation rate of the chatter vibration with the airspeed, a new chatter mode tracking technique is developed, which can effectively avoid the “rooting” phenomenon of the characteristic root locus curve of the aeroelastic system.