The establishment of an accurate structural dynamic model is the basis for structural response analysis.Due to inaccurate model simplification and other factors, it will inevitably bring certain errors.In order to obtain a high-accuracy model, it needs to be modified in conjunction with experimental data.Modal test results usually contain frequency and mode shape information of different orders of different states of the test piece; thus, multiple objective functions need to be established.A multi-objective model updating method based on dynamic weighting coefficients was proposed, through the evolution of the solution group, in each generation of non-inferior solutions, the local optimal solution of each sub-objective function was selected, the gap between each local optimal solution and the expected value was calculated, and the weighting coefficient was dynamically adjusted according to the difference.In the course of evolution, the weighting coefficients were optimized to avoid the dimension disaster problem and realize rapid convergence of each sub-objective function.This method was used to update a missile’s dynamic model.The number of sub-objective functions reaches 16.Compared with the Pareto-optimal model updating method, the convergence of each sub-objective function was realized with few algebras, and the efficiency of group search is improved and a better updating effect is achieved.
Key words
model updating /
multi-objective evolution /
evolutionary algorithm /
weighting coefficient
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