PSO algorithm-based design of test loads for aircraft composite large-size panels

In this paper, for the problem of mechanical test load design of large-size curved panel of multi-degree freedom composite fuselage, a method of iterative optimization calculation using Particle Swarm Optimization (PSO) algorithm and finite-element equivalent model is proposed based on an advance multi-degree freedom fuselage panel combined load test rig. The efficiency of the iterative calculation is greatly improved by obtaining the shape matrix between the test panel and the combined body of the bench by independent loading of unit load. The strain data compliance rate is taken as the optimization objective function and calculated using the PSO algorithm method. In order to obtain a higher compliance rate and computational efficiency, the effects of parameters including the particle number, the number of iterations, and the acceleration factor on the convergence speed and the compliance rate are analyzed and compared, and the load combination that meets the requirements of the compliance rate is finally obtained.