Version 1
: Received: 14 June 2024 / Approved: 15 June 2024 / Online: 17 June 2024 (08:44:34 CEST)
How to cite:
Wang, B.; Ji, R.; Zhou, C.; Liu, K.; Hua, W.; Ye, H. An Online Identification Method for Mechanical Parameters of Dual-Inertia Servo System. Preprints2024, 2024061058. https://doi.org/10.20944/preprints202406.1058.v1
Wang, B.; Ji, R.; Zhou, C.; Liu, K.; Hua, W.; Ye, H. An Online Identification Method for Mechanical Parameters of Dual-Inertia Servo System. Preprints 2024, 2024061058. https://doi.org/10.20944/preprints202406.1058.v1
Wang, B.; Ji, R.; Zhou, C.; Liu, K.; Hua, W.; Ye, H. An Online Identification Method for Mechanical Parameters of Dual-Inertia Servo System. Preprints2024, 2024061058. https://doi.org/10.20944/preprints202406.1058.v1
APA Style
Wang, B., Ji, R., Zhou, C., Liu, K., Hua, W., & Ye, H. (2024). An Online Identification Method for Mechanical Parameters of Dual-Inertia Servo System. Preprints. https://doi.org/10.20944/preprints202406.1058.v1
Chicago/Turabian Style
Wang, B., Wei Hua and Hairong Ye. 2024 "An Online Identification Method for Mechanical Parameters of Dual-Inertia Servo System" Preprints. https://doi.org/10.20944/preprints202406.1058.v1
Abstract
In a dual-inertia system based on permanent magnet synchronous motor (PMSM), the elastic transmission mechanism, such as reducer and coupling, is prone to mechanical resonance, which reduces the precision of servo system transmission. Model prediction and introduction of state feedback are effective methods to suppress mechanical resonance, but the control parameters de-pend on the mechanical parameters of the system. Therefore, mechanical parameter identification is very necessary. In this paper, a forgetting factor recursive least square method is used to identify the mechanical parameters of the dual-inertia elastic system. Firstly, the mathematical model of the dual-inertia system is established and reasonably simplified. Then, the discrete function of the identification algorithm is constructed, and the motor speed and electromagnetic torque are sam-pled to achieve the on-line identification of the main mechanical parameters of the dual-inertia system, and the influencing factors of the identification accuracy are analyzed. Finally, simulations and experiments are carried out to verify the effectiveness of the algorithm.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
