基于AGA的导弹控制系统自动化设计

鉴于传统的设计基于摄动理论和系数冻结法,将控制回路分成角稳定、质心稳定回路,存在工作量大、结果不是最优且有一定的盲目性等缺陷,为此,引入改进的自适应遗传算法,实现了基于性能分析的自动化优化设计整个导弹控制回路参数的目的。所用的遗传算子包括:多参数级联编码方法;选择操作采用比例算子与精英保存策略相结合,交叉和变异概率均采用自适应策略;适应度函数的构造则综合了误差和误差的变化量。仿真结果表明,自适应遗传优化用于自动化设计导弹控制系统是有效的。

Automated design of missile control system using adaptive genetic algorithms

Traditional design adopts the theory of perturbation and frozen coefficients, and divides the control loop into angular stability loop and centroid stability loop. However, the method has such limitations as that the workload is quite large, the result is not optimized, and it is not heuristic. An improved adaptive genetic algorithm (AGA) is used to realize the automated design of the whole loop controller based on performance analysis. Adopted genetic operators include multi-parameter serial coding, the proportional model in conjunction with the elitist model, adaptive crossover and mutation probability, fitness function composed of the error and its variation. The simulation results show that AGA is validity in the automated design of missile controller.