Identification of Mechanism Stiffness of Autoeliminating Clearance for Auxiliary Bearing

Abstract

In this article, a method for identification of equivalent stiffness was proposed based on a genetic algorithm by studying the stiffness characteristics of autoeliminating clearance auxiliary bearing devices (ACABDs) in static condition. Subsequently, the equivalent stiffness damping model and the Hertz contact theory were combined to establish the theoretical equations of the ACABD. Moreover, the linear equivalent model of the ACABD was established to eliminate the influence of contact of the revolute pair on mode shape and mode frequency of the rotor. In addition, simulations and experiments were carried out to verify the effectiveness of the genetic algorithm–based stiffness identification method. The results indicated that the relative errors between the equivalent stiffness in the X and Y directions identified by the linear equivalent model and the theoretical values were 6.22 and 7.19% respectively, demonstrating the feasibility of this identification method.

Keywords:

• Autoeliminating clearance
• auxiliary bearing
• magnetic bearing
• support parameter
• stiffness identification

Additional information

Funding

The author gratefully acknowledges support of this research from the Natural Science Foundation of Jiangsu Province, China (BK20161486); the Fundamental Research Funds for the Central Universities (NS2016053); the National Natural Science Foundation of China (51205186); and the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (16KJB460008).