Title: A novel iteration method for estimation of bearing dynamic coefficients in the rotor-bearing system
Authors: Yang Kang; Fei Wang; Zizhen Qiu; Hao Zhang; Zhanqun Shi; Fengshou Gu
Addresses: School of Mechanical Engineering, Hebei University of Technology, China ' CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., China Automotive Technology & Research Center Co., Ltd., China ' School of Mechanical Engineering, Hebei University of Technology, China ' School of Mechanical Engineering, Hebei University of Technology, China ' School of Mechanical Engineering, Hebei University of Technology, China ' Centre for Efficiency and Performance Engineering, University of Huddersfield, UK
Abstract: A novel iteration method is designed based on a hybrid augmented Kalman filter (HAKF) algorithm and linear global-state model of the flexible rotor-bearing system to identify the dynamic coefficients of journal bearings. Compared with the related methods, this method only requires the unbalance response of the two locations, while not limited to the bearing locations. To improve the efficiency of the proposed method, equivalent oil-film force is posted as the stochastic random variables in the established global-state model and then is predicted using the unbalance responses of the system. According to the relationship between equivalent oil-film force and system parameters, the bearing coefficients are estimated by the weight residual method. The numerical studies and experiment identifications present that the proposed method has a satisfying capability for dynamic characteristics identification and more convenient than the conventional method.
Keywords: bearing coefficients; journal bearings; identification; hybrid augmented Kalman filter; HAKF; unbalance responses.
International Journal of Hydromechatronics, 2021 Vol.4 No.3, pp.277 - 294
Received: 13 Jan 2021
Accepted: 21 May 2021
Published online: 29 Sep 2021 *