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为建立更加准确的航空发动机高压转子的有限元模型,提出一种修正有限元模型描述航空发动机复杂接触的方法.将修正问题转化为求解定义在时域的误差函数的极小值,运用云自适应方法动态调整粒子群算法的惯性权重,使得算法在接近较优解时,惯性因子分布在云低端,有利于收敛得到更优解;当问题解较差时,其惯性因子分布在云顶端,有利于跳出局部极小点,扩大搜索范围.以仿真算例和实际航空发动机高压转子模型为例,通过与相关算法的修正结果比较,证明该算法是可行且有效的.
In order to establish a more accurate finite element model of aero-engine high-pressure rotor, a modified finite element model is presented to describe the complicated contact of aero-engine. The problem of correction is transformed into the minimum value of the error function defined in the time domain. The adaptive method dynamically adjusts the inertia weight of particle swarm optimization so that when the algorithm approaches the optimal solution, the inertia factor is distributed at the low end of the cloud, which is beneficial to the convergence of the optimal solution. When the problem solution is poor, the inertial factors are distributed at the top of the cloud , It is advantageous to jump out of the local minimum and enlarge the search range.With the simulation example and the actual high-pressure rotor model of aeroengine as an example, the algorithm is proved to be feasible and effective by comparison with the corrections of the related algorithms.