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等效系统方法是评价飞机飞行品质的重要方法之一。采用粒子群算法进行等效系统拟配,针对粒子群算法在全局搜索和局部开发能力的平衡问题,引进了自适应调节参数,线性调节粒子速度中个体“经验”和群体共享“信息”的权重,使得算法在迭代前后期都有较强的寻优能力,最后将改进算法应用于某型飞机横航向操纵系统的等效系统拟配计算,采用失配包络线对拟配精度进行了检验。结果表明,粒子群算法在等效拟配计算中是有效可行的。
The equivalent system approach is one of the important methods to evaluate the flight quality of aircraft. Particle swarm optimization (PSO) was used to simulate the equivalent system. In order to solve the problem of particle swarm optimization in global search and local development ability, adaptive adjustment parameters were introduced to linearly adjust the individual “experience ” and “group share ” information ’S weight, which makes the algorithm have better ability of searching before and after iteration. Finally, the improved algorithm is applied to the equivalent system of a certain type of aircraft transverse navigation system. The mismatch envelope The accuracy was tested. The results show that the PSO is effective and feasible in the equivalent simulation.