基于混合算法的反射面天线面板装配序列规划

Assembly sequence planning for panels of reflector antenna based on hybrid algorithm

为了改善反射面天线面板的装配变形,从装配工艺入手,基于蚁群算法和遗传算法,结合传统的天线反射面装配方法,提出一种天线装配序列规划的混合算法。该算法利用蚁群算法快速得到初始种群,随后使用遗传算法对初始种群进行优化,根据所得优化解生成蚁群算法中路径上的信息素,通过加速蚁群算法最优解信息的积累来更快地得到最优解;同时,建立反射面装配的有限元仿真模型,利用该模型及时对得到的最优解(即装配序列)进行面向装配过程的面板装配变形动态仿真,将仿真结果返回算法中,进一步校正算法并得到最优解。以某工程抛物面天线的面板装配为例,验证了所提混合算法的正确性。

To improve the deformation of reflector panels,by combining with the assembly process and traditional assembly methods of reflector,a hybrid algorithm of Assembly Sequence Planning（ASP）for reflector antenna was developed based on Genetic Algorithm（GA）and Ant Colony Optimization（ACO）.The original population was created with ACO and optimized with GA,and the information of optimized solution was employed into tours in ACO to obtain the optimal solution rapidly by accelerating the accumulation of information in optimized solution.Simultaneously,a finite element simulation model was given to simulate the dynamic assembly process of reflector according to the calculation result（assembly sequence）of the proposed algorithm,and the simulation results was returned to the hybrid algorithm to make a further correction on the hybrid algorithm.A 9mreflector antenna was taken as object to verify the veracity of the proposed hybrid algorithm.