Multi Objective Optimization Design of Mechanism for Mechanical Vacuum Fast Transfer Switch
In order to solve the multivariable and multi-objective optimization of repulsive mechanism for vacuum transfer switch,which has coupling design parameters and interrelated output dynamic characteristics,a multi-objective optimization method based on non-dominated sorting particle swarm optimization is proposed.The modeling and analysis of physical model(real model)and numerical simulation model(virtual model)of fast mechanism considering the influence of material characteristics are the basis of mechanism design and service cycle performance evaluation in service cycle.Virtual model parameters are hard to reflect the output characteristics and reliability of real model under uncertain conditions and different operating conditions.The digital twin method is used to design the virtual and real model.By combining the virtual and real model,coupling the calculation layer and the multi-objective optimization layer,the body parameters of the mechanism are optimized.Moreover,the physical real layer are synchronized to realize digital twin,and the multi-objective optimization of the mechanism from virtual to prototype is realized.After digital twin processing,the current error and opening time error are reduced by 5.69％and 5.49％,which provides a new feasible method for the multi-objective optimization design of a new generation of intelligent electrical products.
fast transfer switchrepulsive mechanismNSPSOmulti field couplingdigital twin
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