Multidisciplinary collaborative optimization with fast convergence characteristic

To increase the convergence speed of Collaborative Optimization (CO) method, a Fast convergence collaborative optimization (FCCO) method was proposed. In this method, auxiliary design variables were eliminated by dividing all variables into private and public design variables. Public and private design variables were optimized in system and discipline level respectively. Constraint conditions involving public variables from disciplines were added to the system level, and the consistency constraints were also constructed based on discipline state equations. The consistency problem for coupled variables was eliminated in the discipline level, and the optimization of discipline target only had a positive effect on system target. The computational characteristic of the proposed method was verified by two typical examples, and the results showed that this method could take much less iterations and had a faster convergence speed than CO method.