飞机薄壁件多点柔性定位变形控制寻优算法

根据装配过程中飞机薄壁件多点柔性定位形变量的工程要求，基于“N-2-1”定位原理，针对飞机薄壁件多点柔性定位系统，提出了一种确定薄壁件在多点柔性定位时如何选择定位点数目、布局和吸盘吸附压力的寻优算法.该算法根据各参数对定位精度的影响规律，以工程要求为目标函数，以定位点的移动范围为约束条件，对定位点数目、布局和吸盘吸附压力进行分布搜索综合寻优.为实现该算法，采用MATLAB作为主控循环程序，通过MATLAB和ANSYS联合调用，实现定位点数目、布局和吸盘吸附压力的最优选择，解决了传统的依靠操作人员经验或者单纯凭借有限元分析软件进行分析而导致的效率低和效果差等问题.最后针对某工程要求进行寻优计算及实验验证，结果表明该算法具有较强的工程可行性.

Searching Optimization Algorithm for Deformation Control of Aircraft Thin-walled Parts in Multi-Point Flexible Tooling System

According to the engineering requirements of multi-point flexible positioning of aircraft thin-walled parts in the assembly process, and based on the “N-2-1” positioning principle, this paper proposed a searching optimization algorithm to determine the selection of the number and layout of positioning points and the suction pressure while the thin-walled parts are on multi-point flexible positioning. Based on the analysis of the effects of associated parameters on positioning accuracy, and taking engineering requirements as the objective function and movement range of positioning points as constraints, the algorithm conducted distributed search and integrated optimization for the number and layout of positioning points and the suction pressure. In order to implement this algorithm, MATLAB was used as the main control loop program. The optimal choice of the number and layout of positioning points and the suction pressure was obtained by the combined calculation of MATLAB and ANSYS. The algorithm solved the problems of low efficiency and poor results of the conventional method which relied on operator experience or simply by virtue of the FEA software analysis. Finally, searching optimization calculations and experimental verification were proceeded for an engineering requirements. The numerical example and experimental results show that the algorithm has a strong engineering feasibility.