Optimization for an automotive powertrain mounting system based on genetic algorithm

There are only many local optimal solutions to a mounting system of automotive powertrain with traditional optimal algorithms.Therefore,genetic algorithm was adopted to overcome this fault and the corresponding program was compiled with MATLAB software.Taking six-degree-freedom decoupling of an automotive powertrain mounting system as an objective function,stiffness of each mounting was served as the design variable,the appropriate arrangement for natural frequencies of the system and the displacement control for the powertrain under each operating condition were taken into account.ADAMS software was used to verify natural frequencies and kinetic energy distribution of the powertrain mounting system before and after optimization,and the static equilibrium of the powertrain mounting system was checked.The results showed that the global optimal solution to the mounting system with the genetic algorithm is obtained reliably and the decoupling effect of the powertrain mounting system after optimization becomes better.