Critical speeds are important factors during the design process of rotating machinery. If the critical speeds do not comply with the requirements of operation safety, the rotor system configuration must be adjusted. How to adjust the rotor system configuration to get the desired critical speeds and change the configuration least at the same time is a focus of rotordynamics. An improved model for optimally design the critical speeds of a rotor system is presented, not need to consider the relationship between the number of critical speeds and that of design variables, and whether the desired critical speeds could be approached to. Aiming to solve the complicated model, a genetic-complex shape combined algorithm is designed with better search speed and higher accuracy. The result of a case study on a rotor system shows that the improved model can get the optimal solution and may be applicable in practical rotor system design process.
WANG Donghua;LIU Zhansheng;DOU Wei.
ROTORDYNAMICS OPTIMIZATION BASED ON A HYBRID GENETIC ALGORITHM[J]. Journal of Vibration and Shock, 2009, 28(5): 87-91