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多操纵面先进战斗机在进行舵面分配设计时,分配效率是衡量分配算法优劣的一个重要指标.再分配伪逆算法(RPI)的分配效率取决于伪逆阵的选择,其可达转矩集是一个复杂的非凸多面体.本文利用“微元”的求解思路,对二维及三维RPI算法的分配效率进行了研究,给出一种近似求解RPI可达转矩集的方法.将RPI分配效率作为适应度函数,通过遗传算法来选择具有最优分配效率的广义逆阵,从而提高RPI算法的分配效率.以某飞机的数据进行基于RPI的分配器设计,结果显示此方法显著提高了算法的分配效率.
Multi-control plane advanced fighter aircraft in the rudder surface assignment design, distribution efficiency is a measure of the merits of the distribution algorithm is an important indicator of redistribution pseudo-inverse algorithm (RPI) distribution efficiency depends on the choice of pseudo-inverse matrix, the reachable torque Set is a complex non-convex polyhedron.In this paper, the distribution efficiency of two-dimensional and three-dimensional RPI algorithm is studied by using the idea of “micro-element ”, and a method to approximate the RPI reachable torque set is given. The distribution efficiency of RPI is taken as fitness function and the generalized inverse matrix with optimal distribution efficiency is selected by genetic algorithm to improve the allocation efficiency of RPI algorithm.The RPI-based allocator design based on the data of a plane shows that this method is significant Improve the allocation efficiency of the algorithm.